sunchao commented on code in PR #57437:
URL: https://github.com/apache/spark/pull/57437#discussion_r3687362963
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sql/core/src/main/scala/org/apache/spark/sql/execution/dynamicpruning/PartitionPruning.scala:
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@@ -110,6 +110,11 @@ object PartitionPruning extends Rule[LogicalPlan] with
PredicateHelper with Join
require(filteringKeys.size == 1, "DPP Filters should only have a single
broadcasting key " +
"since there are no usage for multiple broadcasting keys at the moment.")
val indices = Seq(joinKeys.indexOf(filteringKeys.head))
+ val broadcastValueProjection = if
(conf.dynamicPartitionPruningBroadcastProjectionEnabled) {
+ ReusableBroadcastValueProjection.find(filteringKeys.head, filteringPlan,
partScan)
Review Comment:
Thanks @peter-toth. This is now addressed with the `@transient`
second-parameter-list approach on both `DynamicPruningSubquery` and
`SubqueryAdaptiveBroadcastExec`. `otherCopyArgs` carries the metadata through
Catalyst rewrites without changing product arity, equality, or
canonicalization. I kept the explicit handoff so the exact pruned-leaf
exclusion remains available consistently to both adaptive and nonadaptive
planning.
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