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[SPARK-52719][SQL] Support using scalar UDFs in TVF arguments #55950

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[SPARK-52719][SQL] Support using scalar UDFs in TVF arguments #55950

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4 changes: 4 additions & 0 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/Analyzer.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -2824,6 +2824,10 @@ class Analyzer(
j.copy(left = newLeft, right = newRight)
}

// Allow scalar SQL UDFs in SQL table function inputs. They will be resolved
// when ResolveSQLTableFunctions expands the table function via executeSameContext.
case f: SQLTableFunction if hasSQLFunctionExpression(f.expressions) => f

case o: LogicalPlan if o.resolved && hasSQLFunctionExpression(o.expressions) =>
o.transformExpressionsWithPruning(_.containsPattern(SQL_FUNCTION_EXPRESSION)) {
case f: SQLFunctionExpression =>
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12 changes: 12 additions & 0 deletions sql/core/src/test/scala/org/apache/spark/sql/execution/SQLFunctionSuite.scala
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Expand Up @@ -226,4 +226,16 @@ class SQLFunctionSuite extends SharedSparkSession {
}
}
}

test("SPARK-52719: scalar SQL UDF as TVF argument") {
withUserDefinedFunction("scalar_udf" -> false, "table_func" -> false) {
sql("CREATE FUNCTION scalar_udf(x INT) RETURNS INT RETURN x + 1")
sql(
"""CREATE FUNCTION table_func(x INT)
|RETURNS TABLE(a INT)
|RETURN SELECT x
|""".stripMargin)
checkAnswer(sql("SELECT * FROM table_func(scalar_udf(1))"), Row(2))
}
}
}