cloud-fan commented on code in PR #46263:
URL: https://github.com/apache/spark/pull/46263#discussion_r1582492374
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sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/InjectRuntimeFilter.scala:
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@@ -120,34 +132,49 @@ object InjectRuntimeFilter extends Rule[LogicalPlan] with
PredicateHelper with J
hasHitSelectiveFilter = hasHitSelectiveFilter ||
isLikelySelective(condition),
currentPlan,
targetKey)
- case ExtractEquiJoinKeys(_, lkeys, rkeys, _, _, left, right, _) =>
+ case ExtractEquiJoinKeys(joinType, lkeys, rkeys, _, _, left, right, _) =>
// Runtime filters use one side of the [[Join]] to build a set of join
key values and prune
// the other side of the [[Join]]. It's also OK to use a superset of
the join key values
// (ignore null values) to do the pruning.
Review Comment:
I'm glad we described the idea in the comments. It's clear that for certain
join types, the join child output is not a superset of the join output.
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