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Posted to issues@spark.apache.org by "Andrew Or (JIRA)" <ji...@apache.org> on 2015/07/26 07:57:05 UTC

[jira] [Closed] (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:all-tabpanel ]

Andrew Or closed SPARK-9260.
----------------------------
          Resolution: Fixed
       Fix Version/s: 1.5.0
                      1.4.2
    Target Version/s: 1.4.2, 1.5.0  (was: 1.5.0)

> 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
>             Fix For: 1.4.2, 1.5.0
>
>         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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