[jira] [Resolved] (SPARK-12554) Standalone mode may hang if max cores is not a multiple of executor cores

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-12554?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon resolved SPARK-12554.
----------------------------------
    Resolution: Incomplete

> Standalone mode may hang if max cores is not a multiple of executor cores
> -------------------------------------------------------------------------
>
>                 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: Minor
>              Labels: bulk-closed
>
> In scheduleExecutorsOnWorker() in Master.scala,
> {{val keepScheduling = coresToAssign >= minCoresPerExecutor}} should be changed to {{val keepScheduling = coresToAssign > 0}}
> Case 1: 
> 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 this app, the {{app.coresToAssign = 2}} and {{minCoresPerExecutor = coresPerExecutor = 4}}, so {{keepScheduling = false}} and no extra executor will be allocated to this app. If {{spark.scheduler.minRegisteredResourcesRatio}} is set to a large number (e.g., > 0.8 in this case), the app will hang and never finish.
> Case 2: if a small app's coresPerExecutor is larger than its requested cores (e.g., {{spark.cores.max = 10}}, {{spark.executor.cores = 16}}), {{val keepScheduling = coresToAssign >= minCoresPerExecutor}} is always FALSE. As a result, this app will never get an executor to run.



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