tgravescs commented on a change in pull request #27050: [SPARK-30388][Core]
Mark running map stages of finished job as finished, and cancel running tasks
URL: https://github.com/apache/spark/pull/27050#discussion_r366598274
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File path: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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@@ -1431,21 +1434,28 @@ private[spark] class DAGScheduler(
// If the whole job has finished, remove it
if (job.numFinished == job.numPartitions) {
markStageAsFinished(resultStage)
- cleanupStateForJobAndIndependentStages(job)
- try {
- // killAllTaskAttempts will fail if a SchedulerBackend
does not implement
- // killTask.
- logInfo(s"Job ${job.jobId} is finished. Cancelling
potential speculative " +
- "or zombie tasks for this job")
- // ResultStage is only used by this job. It's safe to
kill speculative or
- // zombie tasks in this stage.
- taskScheduler.killAllTaskAttempts(
- stageId,
- shouldInterruptTaskThread(job),
- reason = "Stage finished")
- } catch {
- case e: UnsupportedOperationException =>
- logWarning(s"Could not cancel tasks for stage
$stageId", e)
+ val removedStages =
cleanupStateForJobAndIndependentStages(job)
+ removedStages += resultStage
+ val shouldInterrupt = shouldInterruptTaskThread(job)
+ // removedStages are only used by this job. It's safe to
kill speculative or
+ // zombie tasks in these stages.
+ logInfo(s"Job ${job.jobId} is finished. Cancelling
potential speculative " +
+ "or zombie tasks for this job")
+ removedStages.foreach { stage =>
+ try {
+ // killAllTaskAttempts will fail if a SchedulerBackend
does not implement
+ // killTask.
+ if (stage == resultStage) {
Review comment:
seems like you should just separate this out because you are first adding it
to the hashSEt and then special casing it. Just do removedStages.foreach
without the resultSTage and after the loop do resultSTage
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