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https://issues.apache.org/jira/browse/SPARK-12554?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15073750#comment-15073750
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Apache Spark commented on SPARK-12554:
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User 'JerryLead' has created a pull request for this issue:
https://github.com/apache/spark/pull/10507
> Standalone app scheduler will hang when app.coreToAssign < minCoresPerExecutor
> ------------------------------------------------------------------------------
>
> Key: SPARK-12554
> URL: https://issues.apache.org/jira/browse/SPARK-12554
> Project: Spark
> Issue Type: Bug
> Components: Deploy, Scheduler
> Affects Versions: 1.5.2
> Reporter: Lijie Xu
> Priority: Critical
>
> In scheduleExecutorsOnWorker() in Master.scala,
> *val keepScheduling = coresToAssign >= minCoresPerExecutor* should be changed
> to *val keepScheduling = coresToAssign > 0*
> Suppose that an app's requested cores is 10 (i.e., spark.cores.max = 10) and
> app.coresPerExecutor is 4 (i.e., spark.executor.cores = 4).
> After allocating two executors (each has 4 cores) to the app, the
> *coresToAssign = 2* and *minCoresPerExecutor = coresPerExecutor = 4*, so
> *keepScheduling = false* and no extra executor will be allocated to the app.
> As a result, the app and the scheduler will hang.
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