cloud-fan commented on a change in pull request #31756:
URL: https://github.com/apache/spark/pull/31756#discussion_r596850988
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/PlanAdaptiveDynamicPruningFilters.scala
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@@ -41,15 +42,26 @@ case class PlanAdaptiveDynamicPruningFilters(
adaptivePlan: AdaptiveSparkPlanExec), exprId, _)) =>
val packedKeys = BindReferences.bindReferences(
HashJoin.rewriteKeyExpr(buildKeys), adaptivePlan.executedPlan.output)
- val mode = HashedRelationBroadcastMode(packedKeys)
- // plan a broadcast exchange of the build side of the join
- val exchange = BroadcastExchangeExec(mode, adaptivePlan.executedPlan)
- val existingStage = stageCache.get(exchange.canonicalized)
- if (existingStage.nonEmpty && conf.exchangeReuseEnabled) {
- val name = s"dynamicpruning#${exprId.id}"
- val reuseQueryStage = existingStage.get.newReuseInstance(0,
exchange.output)
- val broadcastValues =
- SubqueryBroadcastExec(name, index, buildKeys, reuseQueryStage)
+
+ val canReuseExchange = conf.exchangeReuseEnabled && buildKeys.nonEmpty
&&
+ plan.find {
Review comment:
`PlanAdaptiveDynamicPruningFilters` is a stage optimization rule and the
input `plan` is only a small piece of the plan tree (for one stage). I think we
should put the entire plan as a parameter of this rule, when creating this rule
in `AdaptiveSparkPlanExec`
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