[
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.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
