cloud-fan commented on code in PR #38557:
URL: https://github.com/apache/spark/pull/38557#discussion_r1017300121
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sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/RowLevelOperationRuntimeGroupFiltering.scala:
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@@ -89,10 +88,8 @@ case class
RowLevelOperationRuntimeGroupFiltering(optimizeSubqueries: Rule[Logic
buildKeys: Seq[Attribute],
pruningKeys: Seq[Attribute]): Expression = {
- val buildQuery = Project(buildKeys, matchingRowsPlan)
- val dynamicPruningSubqueries = pruningKeys.zipWithIndex.map { case (key,
index) =>
- DynamicPruningSubquery(key, buildQuery, buildKeys, index,
onlyInBroadcast = false)
- }
- dynamicPruningSubqueries.reduce(And)
+ val buildQuery = Aggregate(buildKeys, buildKeys, matchingRowsPlan)
Review Comment:
I don't see any downside. We can only reuse broadcast if the DPP filter is
derived from a join, which doesn't apply here. What's better, now this is a
normal subquery and we can trigger subquery reuse which is not possible for DPP
subqueries.
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