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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/23 00:23:04 UTC

[jira] [Commented] (SPARK-9260) Standalone scheduling can overflow a worker with cores

    [ https://issues.apache.org/jira/browse/SPARK-9260?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14637762#comment-14637762 ] 

Apache Spark commented on SPARK-9260:
-------------------------------------

User 'nishkamravi2' has created a pull request for this issue:
https://github.com/apache/spark/pull/7274

> Standalone scheduling can overflow a worker with cores
> ------------------------------------------------------
>
>                 Key: SPARK-9260
>                 URL: https://issues.apache.org/jira/browse/SPARK-9260
>             Project: Spark
>          Issue Type: Bug
>          Components: Deploy
>    Affects Versions: 1.4.0
>            Reporter: Andrew Or
>            Assignee: Nishkam Ravi
>         Attachments: Screen Shot 2015-07-22 at 12.06.21 PM.png
>
>
> If the cluster is started with `spark.deploy.spreadOut = false`, then we may allocate more cores than is available on a worker. E.g. a worker has 8 cores, and an application sets `spark.cores.max = 10`, then we end up with the following screenshot:



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