cloud-fan commented on a change in pull request #31913:
URL: https://github.com/apache/spark/pull/31913#discussion_r612555562
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File path:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/basicLogicalOperators.scala
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@@ -793,6 +817,56 @@ case class Aggregate(
copy(child = newChild)
}
+object Aggregate {
+ private def collectComplexGroupingExpressions(groupingExpressions:
Seq[Expression]) = {
+ groupingExpressions.zipWithIndex
+ .foldLeft(mutable.Map.empty[Expression, (Expression, Int)]) {
+ case (m, (ge, i)) =>
+ if (!ge.foldable && ge.children.nonEmpty &&
!m.contains(ge.canonicalized)) {
+ m += ge.canonicalized -> (ge, i)
+ }
+ m
+ }
+ }
+
+ private def insertGroupingReferences(
+ aggregateExpressions: Seq[NamedExpression],
+ groupingExpressions: collection.Map[Expression, (Expression, Int)]):
Seq[NamedExpression] = {
+ def insertGroupingExprRefs(e: Expression): Expression = {
+ e match {
+ case _ if !e.deterministic => e
+ case _: AggregateExpression => e
+ case _ if PythonUDF.isGroupedAggPandasUDF(e) => e
+ case _ if groupingExpressions.contains(e.canonicalized) =>
+ val (groupingExpression, ordinal) =
groupingExpressions(e.canonicalized)
+ GroupingExprRef(ordinal, groupingExpression.dataType,
groupingExpression.nullable)
+ case _ => e.mapChildren(insertGroupingExprRefs)
+ }
+ }
+
+
aggregateExpressions.map(insertGroupingExprRefs(_).asInstanceOf[NamedExpression])
+ }
+
+ def withGroupingRefs(
+ groupingExpressions: Seq[Expression],
+ aggregateExpressions: Seq[NamedExpression],
+ child: LogicalPlan): Aggregate = {
+ val dealiasedGroupingExpressions = groupingExpressions.map {
+ case a: Alias => a.child
Review comment:
Do we need to do this? IIUC analyzer will strip unnecessary aliases from
grouping expressions, by the rule `CleanupAliases`
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