AngersZhuuuu commented on code in PR #46263:
URL: https://github.com/apache/spark/pull/46263#discussion_r1582589876
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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.
// We assume other rules have already pushed predicates through join
if possible.
// So the predicate references won't pass on anymore.
if (left.output.exists(_.semanticEquals(targetKey))) {
- extract(left, AttributeSet.empty, hasHitFilter = false,
hasHitSelectiveFilter = false,
- currentPlan = left, targetKey = targetKey).orElse {
- // We can also extract from the right side if the join keys are
transitive.
Review Comment:
Done, how about current
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