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[SPARK-45498][CORE] Followup: Ignore task completion from old stage a… #43326

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[SPARK-45498][CORE] Followup: Ignore task completion from old stage a… #43326

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6 changes: 3 additions & 3 deletions core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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Original file line number Diff line number Diff line change
Expand Up @@ -1847,9 +1847,9 @@ private[spark] class DAGScheduler(
case Success =>
// An earlier attempt of a stage (which is zombie) may still have running tasks. If these
// tasks complete, they still count and we can mark the corresponding partitions as
// finished. Here we notify the task scheduler to skip running tasks for the same partition,
// to save resource.
if (task.stageAttemptId < stage.latestInfo.attemptNumber()) {
// finished if the stage is determinate. Here we notify the task scheduler to skip running
// tasks for the same partition to save resource.
if (!stage.isIndeterminate && task.stageAttemptId < stage.latestInfo.attemptNumber()) {
taskScheduler.notifyPartitionCompletion(stageId, task.partitionId)
}

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5 changes: 4 additions & 1 deletion core/src/test/scala/org/apache/spark/scheduler/DAGSchedulerSuite.scala
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Expand Up @@ -3169,13 +3169,16 @@ class DAGSchedulerSuite extends SparkFunSuite with TempLocalSparkContext with Ti
makeMapStatus("hostB",
2)))

// The second task of the shuffle map stage 1 from 1st attempt succeeds
// The second task of the shuffle map stage 1 from 1st attempt succeeds
runEvent(makeCompletionEvent(
taskSets(1).tasks(1),
Success,
makeMapStatus("hostC",
2)))

// Above task completion should not mark the partition 1 complete from 2nd attempt
assert(!tasksMarkedAsCompleted.contains(taskSets(3).tasks(1)))

// This task completion should get ignored and partition 1 should be missing
// for shuffle map stage 1
assert(mapOutputTracker.findMissingPartitions(shuffleId2) == Some(Seq(1)))
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