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https://issues.apache.org/jira/browse/SPARK-21115?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-21115.
---------------------------------
Resolution: Fixed
Fix Version/s: 2.3.0
Issue resolved by pull request 18322
[https://github.com/apache/spark/pull/18322]
> If the cores left is less than the coresPerExecutor,the cores left will not
> be allocated, so it should not to check in every schedule
> -------------------------------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-21115
> URL: https://issues.apache.org/jira/browse/SPARK-21115
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 2.1.1
> Reporter: eaton
> Priority: Minor
> Fix For: 2.3.0
>
>
> If we start an app with the param --total-executor-cores=4 and
> spark.executor.cores=3, the cores left is always 1, so it will try to
> allocate executors in the function
> org.apache.spark.deploy.master.startExecutorsOnWorkers in every schedule.
> Another question is, is it will be better to allocate another executor with 1
> core for the cores left.
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