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https://issues.apache.org/jira/browse/SPARK-9731?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or updated SPARK-9731:
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Assignee: Carson Wang
> Standalone scheduling incorrect cores if spark.executor.cores is not set
> ------------------------------------------------------------------------
>
> Key: SPARK-9731
> URL: https://issues.apache.org/jira/browse/SPARK-9731
> Project: Spark
> Issue Type: Bug
> Components: Deploy
> Affects Versions: 1.5.0
> Reporter: Carson Wang
> Assignee: Carson Wang
> Priority: Blocker
>
> The issue only happens if `spark.executor.cores` is not set and executor
> memory is set to a high value.
> For example, if we have a worker with 4G and 10 cores and we set
> `spark.executor.memory` to 3G, then only 1 core is assigned to the executor.
> The correct number should be 10 cores.
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