[
https://issues.apache.org/jira/browse/SPARK-31645?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-31645:
----------------------------------
Description:
-
[https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/dynalloc/ExecutorMonitor.scala#L293-L305]
{code:java}
// If the task succeeded and the stage generates shuffle data, record that this
executor
// holds data for the shuffle. This code will track all executors that generate
shuffle
// for the stage, even if speculative tasks generate duplicate shuffle data and
end up
// being ignored by the map output tracker.
//
// This means that an executor may be marked as having shuffle data, and thus
prevented
// from being removed, even though the data may not be used.
if (shuffleTrackingEnabled && event.reason == Success) {
stageToShuffleID.get(event.stageId).foreach { shuffleId =>
exec.addShuffle(shuffleId)
}
}
{code}
was:
-
https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/dynalloc/ExecutorMonitor.scala#L293-L305
{code:java}
// If the task succeeded and the stage generates shuffle data, record
that this executor
// holds data for the shuffle. This code will track all executors that
generate shuffle
// for the stage, even if speculative tasks generate duplicate shuffle
data and end up
// being ignored by the map output tracker.
//
// This means that an executor may be marked as having shuffle data, and
thus prevented
// from being removed, even though the data may not be used.
if (shuffleTrackingEnabled && event.reason == Success) {
stageToShuffleID.get(event.stageId).foreach { shuffleId =>
exec.addShuffle(shuffleId)
}
}
{code}
> Improve ExecutorMonitor shuffle-tracking to handle speculative tasks properly
> -----------------------------------------------------------------------------
>
> Key: SPARK-31645
> URL: https://issues.apache.org/jira/browse/SPARK-31645
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.1.0
> Reporter: Dongjoon Hyun
> Priority: Major
>
> -
> [https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/scheduler/dynalloc/ExecutorMonitor.scala#L293-L305]
>
> {code:java}
> // If the task succeeded and the stage generates shuffle data, record that
> this executor
> // holds data for the shuffle. This code will track all executors that
> generate shuffle
> // for the stage, even if speculative tasks generate duplicate shuffle data
> and end up
> // being ignored by the map output tracker.
> //
> // This means that an executor may be marked as having shuffle data, and thus
> prevented
> // from being removed, even though the data may not be used.
> if (shuffleTrackingEnabled && event.reason == Success) {
> stageToShuffleID.get(event.stageId).foreach { shuffleId =>
> exec.addShuffle(shuffleId)
> }
> }
> {code}
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