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https://issues.apache.org/jira/browse/SPARK-21460?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16116525#comment-16116525
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Yuming Wang commented on SPARK-21460:
-------------------------------------
[~Tagar]
After [SPARK-19146|https://github.com/apache/spark/pull/16527], I found log
event process too slow, so I disable {{spark.eventLog.enabled=false}}. It works
well right now.
> 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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