You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Shixiong Zhu (JIRA)" <ji...@apache.org> on 2017/07/18 18:03:00 UTC
[jira] [Resolved] (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:all-tabpanel ]
Shixiong Zhu resolved SPARK-21460.
----------------------------------
Resolution: Duplicate
This will be addressed in SPARK-18838
> 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).
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org