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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-23626) Spark DAGScheduler scheduling performance hindered on JobSubmitted Event
Date Thu, 08 Mar 2018 06:46:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-23626?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16390825#comment-16390825
] 

Apache Spark commented on SPARK-23626:
--------------------------------------

User 'AjithShetty2489' has created a pull request for this issue:
https://github.com/apache/spark/pull/20770

> 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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