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Posted to issues@spark.apache.org by "Sean Owen (JIRA)" <ji...@apache.org> on 2016/05/31 11:30:13 UTC

[jira] [Resolved] (SPARK-15479) Spark job doesn't shut gracefully in yarn mode.

     [ https://issues.apache.org/jira/browse/SPARK-15479?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean Owen resolved SPARK-15479.
-------------------------------
    Resolution: Not A Problem

Yeah, you told YARN to kill all your containers, so it did that. You did not shut down your app by telling your driver to start graceful shutdown.

> Spark job doesn't shut gracefully in yarn mode.
> -----------------------------------------------
>
>                 Key: SPARK-15479
>                 URL: https://issues.apache.org/jira/browse/SPARK-15479
>             Project: Spark
>          Issue Type: Bug
>          Components: Streaming
>    Affects Versions: 1.5.1
>            Reporter: Rakesh
>         Attachments: driver.rtf, executor.rtf
>
>
> Issue i am having is similar to the one mentioned here :
> http://stackoverflow.com/questions/36911442/how-to-stop-gracefully-a-spark-streaming-application-on-yarn
> I am creating a rdd from sequence of 1 to 300 and creating streaming RDD out of it.
> val rdd = ssc.sparkContext.parallelize(1 to 300)
> val dstream = new ConstantInputDStream(ssc, rdd)
> dstream.foreachRDD{ rdd =>
>   rdd.foreach{ x =>
>     log(x)
>     Thread.sleep(50)
>   }
> }
> When i kill this job, i expect elements 1 to 300 to be logged before shutting down. It is indeed the case when i run it locally. It waits for the job to finish before shutting down.
> But when i launch the job in cluster with "yarn-cluster" mode, it abruptly shuts down.
> Executor prints following log
> ERROR executor.CoarseGrainedExecutorBackend: 
> Driver xx.xx.xx.xxx:yyyyy disassociated! Shutting down.
> and then it shuts down. It is not a graceful shutdown.



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