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https://issues.apache.org/jira/browse/SPARK-23626?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390832#comment-16390832
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Ajith S commented on SPARK-23626:
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Cc [~r...@databricks.com] , [~shivaram] [~blue_impala_48d6]
> 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
>
> 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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