cloud-fan commented on code in PR #40811:
URL: https://github.com/apache/spark/pull/40811#discussion_r1169413430
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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.
Review Comment:
where do we introduce GROUP BY? There are two code paths here:
```
if (SQLConf.get.decorrelateInnerQueryEnabled) {
DecorrelateInnerQuery(sub, outer, handleCountBug)
} else {
pullOutCorrelatedPredicates(sub, outer)
}
```
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