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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:13:59 UTC

[jira] [Resolved] (SPARK-19090) Dynamic Resource Allocation not respecting spark.executor.cores

     [ https://issues.apache.org/jira/browse/SPARK-19090?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-19090.
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    Resolution: Incomplete

> Dynamic Resource Allocation not respecting spark.executor.cores
> ---------------------------------------------------------------
>
>                 Key: SPARK-19090
>                 URL: https://issues.apache.org/jira/browse/SPARK-19090
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 1.5.2, 1.6.1, 2.0.1
>            Reporter: nirav patel
>            Priority: Major
>              Labels: bulk-closed
>
> When enabling dynamic scheduling with yarn I see that all executors are using only 1 core even if I specify "spark.executor.cores" to 6. If dynamic scheduling is disabled then each executors will have 6 cores. i.e. it respects  "spark.executor.cores". I have tested this against spark 1.5 . I think it will be the same behavior with 2.x as well.



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