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From "Apache Spark (JIRA)" <j...@apache.org>
Subject [jira] [Assigned] (SPARK-18769) Spark to be smarter about what the upper bound is and to restrict number of executor when dynamic allocation is enabled
Date Mon, 28 Aug 2017 17:50:01 GMT

     [ https://issues.apache.org/jira/browse/SPARK-18769?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Apache Spark reassigned SPARK-18769:
------------------------------------

    Assignee: Apache Spark

>  Spark to be smarter about what the upper bound is and to restrict number of executor
when dynamic allocation is enabled
> ------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-18769
>                 URL: https://issues.apache.org/jira/browse/SPARK-18769
>             Project: Spark
>          Issue Type: New Feature
>            Reporter: Neerja Khattar
>            Assignee: Apache Spark
>
> Currently when dynamic allocation is enabled max.executor is infinite and spark creates
so many executor and even exceed the yarn nodemanager memory limit and vcores.
> It should have a check to not exceed more that yarn resource limit.



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