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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/03/14 20:47:33 UTC

[jira] [Commented] (SPARK-3411) Improve load-balancing of concurrently-submitted drivers across workers

    [ https://issues.apache.org/jira/browse/SPARK-3411?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15194010#comment-15194010 ] 

Apache Spark commented on SPARK-3411:
-------------------------------------

User 'CodingCat' has created a pull request for this issue:
https://github.com/apache/spark/pull/11702

> Improve load-balancing of concurrently-submitted drivers across workers
> -----------------------------------------------------------------------
>
>                 Key: SPARK-3411
>                 URL: https://issues.apache.org/jira/browse/SPARK-3411
>             Project: Spark
>          Issue Type: Improvement
>          Components: Deploy
>    Affects Versions: 1.1.0
>            Reporter: Tao Wang
>            Assignee: Tao Wang
>            Priority: Minor
>             Fix For: 1.2.0
>
>
> If the waiting driver array is too big, the drivers in it will be dispatched to the first worker we get(if it has enough resources), with or without the Randomization.
> We should do randomization every time we dispatch a driver, in order to better balance drivers.
> Update(2014/9/6):Doing shuffle is much slower, so we use round robin to avoid it.



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