Ngone51 commented on a change in pull request #27752: [SPARK-30999][SQL] Don't
cancel a QueryStageExec which is already finished
URL: https://github.com/apache/spark/pull/27752#discussion_r386208781
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File path:
sql/core/src/main/scala/org/apache/spark/sql/execution/adaptive/AdaptiveSparkPlanExec.scala
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@@ -158,25 +158,34 @@ case class AdaptiveSparkPlanExec(
var result = createQueryStages(currentPhysicalPlan)
val events = new LinkedBlockingQueue[StageMaterializationEvent]()
val errors = new mutable.ArrayBuffer[SparkException]()
+ val runningStages = util.Collections.synchronizedSet(new
util.HashSet[QueryStageExec]())
var stagesToReplace = Seq.empty[QueryStageExec]
while (!result.allChildStagesMaterialized) {
currentPhysicalPlan = result.newPlan
if (result.newStages.nonEmpty) {
stagesToReplace = result.newStages ++ stagesToReplace
executionId.foreach(onUpdatePlan)
- // Start materialization of all new stages.
- result.newStages.foreach { stage =>
+ // Start materialization of all new stages and fail fast if any
stages failed eagerly
+ var anyFail = false
+ val stages = result.newStages.toIterator
+ while (!anyFail && stages.hasNext) {
+ val stage = stages.next()
+ runningStages.add(stage)
try {
stage.materialize().onComplete { res =>
+ runningStages.remove(stage)
Review comment:
`resultOption` only tells succeed stages?
Besides tracking the only one beginning failed stage(mentioned below), we
still need to track other failed stages in case of future.isFailure?
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