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From "Andrew Or (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (SPARK-9353) Standalone scheduling memory requirement incorrect if cores per executor is not set
Date Fri, 07 Aug 2015 17:29:46 GMT

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

Andrew Or closed SPARK-9353.
----------------------------
       Resolution: Fixed
    Fix Version/s: 1.4.2

> 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: Andrew Or
>             Fix For: 1.4.2, 1.5.0
>
>
> 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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