maryannxue commented on a change in pull request #32816:
URL: https://github.com/apache/spark/pull/32816#discussion_r701124652
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
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@@ -640,14 +668,12 @@ case class AdaptiveSparkPlanExec(
* Re-optimize and run physical planning on the current logical plan based
on the latest stats.
*/
private def reOptimize(
- logicalPlan: LogicalPlan): (SparkPlan, LogicalPlan) =
context.qe.withCteMap {
+ logicalPlan: LogicalPlan): (Seq[SparkPlan], LogicalPlan) =
context.qe.withCteMap {
logicalPlan.invalidateStatsCache()
val optimized = optimizer.execute(logicalPlan)
val sparkPlan =
context.session.sessionState.planner.plan(ReturnAnswer(optimized)).next()
- val newPlan = applyPhysicalRules(
- sparkPlan,
- preprocessingRules ++ queryStagePreparationRules,
- Some((planChangeLogger, "AQE Replanning")))
+ val optimizedPhysicalPlan = prepareQueryStages(sparkPlan, false)
Review comment:
The only difference here is caused by the skew join rule + EnsureReq, so
why can't we wrap the decision making logic into the skew join rule itself?
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