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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/06/22 07:20:00 UTC

[jira] [Commented] (SPARK-21175) Slow down "open blocks" on shuffle service when memory shortage to avoid OOM.

    [ https://issues.apache.org/jira/browse/SPARK-21175?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16058892#comment-16058892 ] 

Apache Spark commented on SPARK-21175:
--------------------------------------

User 'jinxing64' has created a pull request for this issue:
https://github.com/apache/spark/pull/18388

> Slow down "open blocks" on shuffle service when memory shortage to avoid OOM.
> -----------------------------------------------------------------------------
>
>                 Key: SPARK-21175
>                 URL: https://issues.apache.org/jira/browse/SPARK-21175
>             Project: Spark
>          Issue Type: Improvement
>          Components: Shuffle
>    Affects Versions: 2.1.1
>            Reporter: jin xing
>
> A shuffle service can serves blocks from multiple apps/tasks. Thus the shuffle service can suffers high memory usage when lots of {{shuffle-read}} happen at the same time. In my cluster, OOM always happens on shuffle service. Analyzing heap dump, memory cost by Netty(chunks) can be up to 2~3G. It might make sense to reject "open blocks" request when memory usage is high on shuffle service.



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