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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/07/26 08:05:04 UTC

[jira] [Assigned] (SPARK-9353) Standalone scheduling memory requirement incorrect if cores per executor is not set

     [ https://issues.apache.org/jira/browse/SPARK-9353?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-9353:
-----------------------------------

    Assignee: Apache Spark  (was: Andrew Or)

> Standalone scheduling memory requirement incorrect if cores per executor is not set
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-9353
>                 URL: https://issues.apache.org/jira/browse/SPARK-9353
>             Project: Spark
>          Issue Type: Bug
>          Components: Deploy
>    Affects Versions: 1.5.0
>            Reporter: Andrew Or
>            Assignee: Apache Spark
>
> I tried to come up with a more succinct title.
> The issue only happens if `spark.executor.cores` is not set. Right now if we have a worker with 8G, and we set `spark.executor.memory` to 1G, then the executor launched on the worker can have at most 8 cores, even if the worker has more cores available.
> This is caused by the fix in SPARK-8881.



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