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Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2018/01/27 01:35:00 UTC
[jira] [Commented] (SPARK-21460) Spark dynamic allocation breaks
when ListenerBus event queue runs full
[ https://issues.apache.org/jira/browse/SPARK-21460?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16341888#comment-16341888 ]
Wenchen Fan commented on SPARK-21460:
-------------------------------------
I believe this issue has been fixed in Spark 2.3 by https://issues.apache.org/jira/browse/SPARK-18838 , [~Tagar] can you verify it and resolve the ticket if it is fixed? thanks!
> Spark dynamic allocation breaks when ListenerBus event queue runs full
> ----------------------------------------------------------------------
>
> Key: SPARK-21460
> URL: https://issues.apache.org/jira/browse/SPARK-21460
> Project: Spark
> Issue Type: Bug
> Components: Scheduler, YARN
> Affects Versions: 2.0.0, 2.0.2, 2.1.0, 2.1.1, 2.2.0
> Environment: Spark 2.1
> Hadoop 2.6
> Reporter: Ruslan Dautkhanov
> Priority: Critical
> Labels: dynamic_allocation, performance, scheduler, yarn
>
> When ListenerBus event queue runs full, spark dynamic allocation stops working - Spark fails to shrink number of executors when there are no active jobs (Spark driver "thinks" there are active jobs since it didn't capture when they finished) .
> ps. What's worse it also makes Spark flood YARN RM with reservation requests, so YARN preemption doesn't function properly too (we're on Spark 2.1 / Hadoop 2.6).
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