jchen5 commented on code in PR #41301:
URL: https://github.com/apache/spark/pull/41301#discussion_r1283253415
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/DecorrelateInnerQuery.scala:
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@@ -804,18 +804,67 @@ object DecorrelateInnerQuery extends PredicateHelper {
(d.copy(child = newChild), joinCond, outerReferenceMap)
case j @ Join(left, right, joinType, condition, _) =>
- val outerReferences = collectOuterReferences(j.expressions)
- // Join condition containing outer references is not supported.
- assert(outerReferences.isEmpty, s"Correlated column is not allowed
in join: $j")
- val newOuterReferences = parentOuterReferences ++ outerReferences
- val shouldPushToLeft = joinType match {
+ def splitCorrelatedPredicate(condition: Option[Expression],
+ isInnerJoin: Boolean,
+ shouldDecorrelatePredicates: Boolean):
+ (Seq[Expression], Seq[Expression], Seq[Expression],
+ Seq[Expression], AttributeMap[Attribute]) = {
+ // Similar to Filters above, we split the join condition (if
present) into correlated
+ // and uncorrelated predicates, and separately handle joins
under set and aggregation
+ // operations.
+ if (shouldDecorrelatePredicates) {
+ val conditions =
+ if (condition.isDefined)
splitConjunctivePredicates(condition.get)
+ else Seq.empty[Expression]
+ val (correlated, uncorrelated) =
conditions.partition(containsOuter)
+ val equivalences =
+ if (underSetOp) AttributeMap.empty[Attribute]
+ else collectEquivalentOuterReferences(correlated)
+ var (equalityCond, predicates) =
+ if (underSetOp) (Seq.empty[Expression], correlated)
+ else correlated.partition(canPullUpOverAgg)
Review Comment:
Hmm, good point. In fact, probably what is happening today in the Filter
codepath is decorrelation takes the filter `a = outer(a)` and moves it to the
top-level join, and then later it gets pushed back down again (if possible).
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