[jira] [Updated] (SPARK-16925) Spark tasks which cause JVM to exit with a zero exit code may cause app to hang in Standalone mode

["Josh Rosen (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-16925?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Josh Rosen updated SPARK-16925:
-------------------------------
    Summary: Spark tasks which cause JVM to exit with a zero exit code may cause app to hang in Standalone mode  (was: Spark tasks which cause JVM to exit with a zero exit code may cause app to hang)

> Spark tasks which cause JVM to exit with a zero exit code may cause app to hang in Standalone mode
> --------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-16925
>                 URL: https://issues.apache.org/jira/browse/SPARK-16925
>             Project: Spark
>          Issue Type: Bug
>          Components: Deploy
>    Affects Versions: 1.6.0, 2.0.0
>            Reporter: Josh Rosen
>            Assignee: Josh Rosen
>            Priority: Critical
>
> If you have a Spark standalone cluster which runs a single application and you have a Spark task which repeatedly fails by causing the executor JVM to exit with a _zero_ exit code then this may temporarily freeze / hang the Spark application.
> For example, running
> {code}
>         sc.parallelize(1 to 1, 1).foreachPartition { _ => System.exit(0) }
> {code}
> on a cluster will cause all executors to die but those executors won't be replaced unless another Spark application or worker joins or leaves the cluster. This is caused by a bug in the standalone Master where {{schedule()}} is only called on executor exit when the exit code is non-zero, whereas I think that we should always call {{schedule()}} even on a "clean" executor shutdown since {{schedule()}} should be idempotent.



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