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From "Ajith S (JIRA)" <>
Subject [jira] [Updated] (SPARK-23626) Spark DAGScheduler scheduling performance hindered on JobSubmitted Event
Date Tue, 21 May 2019 07:15:00 GMT


Ajith S updated SPARK-23626:
    Affects Version/s: 3.0.0

> Spark DAGScheduler scheduling performance hindered on JobSubmitted Event
> ------------------------------------------------------------------------
>                 Key: SPARK-23626
>                 URL:
>             Project: Spark
>          Issue Type: Bug
>          Components: Scheduler
>    Affects Versions: 2.2.1, 2.3.3, 3.0.0
>            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
> 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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