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https://issues.apache.org/jira/browse/SPARK-18769?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16144040#comment-16144040
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Apache Spark commented on SPARK-18769:
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User 'vanzin' has created a pull request for this issue:
https://github.com/apache/spark/pull/19046
> 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
>
> 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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