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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:00:04 UTC
[jira] [Updated] (SPARK-23626) Spark DAGScheduler scheduling
performance hindered on JobSubmitted Event
[ https://issues.apache.org/jira/browse/SPARK-23626?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Hyukjin Kwon updated SPARK-23626:
---------------------------------
Labels: bulk-closed (was: )
> Spark DAGScheduler scheduling performance hindered on JobSubmitted Event
> ------------------------------------------------------------------------
>
> Key: SPARK-23626
> URL: https://issues.apache.org/jira/browse/SPARK-23626
> Project: Spark
> Issue Type: Bug
> Components: Scheduler
> Affects Versions: 2.2.1
> Reporter: Ajith S
> Priority: Major
> Labels: bulk-closed
>
> DAGScheduler becomes a bottleneck in cluster when multiple JobSubmitted events has to be processed as DAGSchedulerEventProcessLoop is single threaded and it will block other tasks in queue like TaskCompletion.
> The JobSubmitted event is time consuming depending on the nature of the job (Example: calculating parent stage dependencies, shuffle dependencies, partitions) and thus it blocks all the events to be processed.
>
> I see multiple JIRA referring to this behavior
> https://issues.apache.org/jira/browse/SPARK-2647
> https://issues.apache.org/jira/browse/SPARK-4961
>
> Similarly in my cluster some jobs partition calculation is time consuming (Similar to stack at SPARK-2647) hence it slows down the spark DAGSchedulerEventProcessLoop which results in user jobs to slowdown, even if its tasks are finished within seconds, as TaskCompletion Events are processed at a slower rate due to blockage.
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