jchen5 commented on code in PR #40811:
URL: https://github.com/apache/spark/pull/40811#discussion_r1169400435
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/subquery.scala:
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@@ -325,9 +327,20 @@ object PullupCorrelatedPredicates extends
Rule[LogicalPlan] with PredicateHelper
}
plan.transformExpressionsWithPruning(_.containsPattern(PLAN_EXPRESSION)) {
- case ScalarSubquery(sub, children, exprId, conditions, hint) if
children.nonEmpty =>
+ case ScalarSubquery(sub, children, exprId, conditions, hint,
mayHaveCountBugOld)
+ if children.nonEmpty =>
val (newPlan, newCond) = decorrelate(sub, plan)
- ScalarSubquery(newPlan, children, exprId, getJoinCondition(newCond,
conditions), hint)
+ val mayHaveCountBug = if (mayHaveCountBugOld.isDefined) {
+ // For idempotency, we must save this variable the first time this
rule is run. Afterward,
+ // the information about whether the subquery has a GROUP BY clause
is lost because a
+ // GROUP BY is introduced if one wasn't already present.
+ mayHaveCountBugOld.get
+ } else {
+ val (topPart, havingNode, aggNode) = splitSubquery(sub)
+ (aggNode.isDefined && aggNode.get.groupingExpressions.isEmpty)
Review Comment:
This is the first main part of the fix.
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