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https://issues.apache.org/jira/browse/SPARK-9260?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Andrew Or closed SPARK-9260.
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Resolution: Fixed
Fix Version/s: 1.5.0
1.4.2
Target Version/s: 1.4.2, 1.5.0 (was: 1.5.0)
> Standalone scheduling can overflow a worker with cores
> ------------------------------------------------------
>
> Key: SPARK-9260
> URL: https://issues.apache.org/jira/browse/SPARK-9260
> Project: Spark
> Issue Type: Bug
> Components: Deploy
> Affects Versions: 1.4.0
> Reporter: Andrew Or
> Assignee: Nishkam Ravi
> Fix For: 1.4.2, 1.5.0
>
> Attachments: Screen Shot 2015-07-22 at 12.06.21 PM.png
>
>
> If the cluster is started with `spark.deploy.spreadOut = false`, then we may
> allocate more cores than is available on a worker. E.g. a worker has 8 cores,
> and an application sets `spark.cores.max = 10`, then we end up with the
> following screenshot:
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