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https://issues.apache.org/jira/browse/SPARK-12009?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15028325#comment-15028325
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Saisai Shao commented on SPARK-12009:
-------------------------------------

A interesting thing is that AM is shutting down at time 
{{2015-11-26,03:05:16}}, but YarnAllocator still request 13 executors after 11 
seconds. Looks like AM is not exited so fast, that's why YarnAllocator is still 
requesting new containers. Normally if AM is exited as fast as it receive 
disconnected message, there will be not container requesting for YarnAllocator.

> Avoid re-allocate yarn container while driver want to stop all Executors
> ------------------------------------------------------------------------
>
>                 Key: SPARK-12009
>                 URL: https://issues.apache.org/jira/browse/SPARK-12009
>             Project: Spark
>          Issue Type: Bug
>          Components: YARN
>    Affects Versions: 1.5.2
>            Reporter: SuYan
>            Priority: Minor
>
> 2015-11-26,03:05:16,176 WARN 
> org.spark-project.jetty.util.thread.QueuedThreadPool: 8 threads could not be 
> stopped
> 2015-11-26,03:05:16,177 INFO org.apache.spark.ui.SparkUI: Stopped Spark web 
> UI at http://
> 2015-11-26,03:05:16,401 INFO org.apache.spark.scheduler.DAGScheduler: 
> Stopping DAGScheduler
> 2015-11-26,03:05:16,450 INFO 
> org.apache.spark.scheduler.cluster.YarnClusterSchedulerBackend: Shutting down 
> all executors
> 2015-11-26,03:05:16,525 INFO 
> org.apache.spark.scheduler.cluster.YarnClusterSchedulerBackend: Asking each 
> executor to shut down
> 2015-11-26,03:05:16,791 INFO 
> org.apache.spark.deploy.yarn.ApplicationMaster$AMEndpoint: Driver terminated 
> or disconnected! Shutting down. XX.XX.XX.XX:38734
> 2015-11-26,03:05:16,847 ERROR org.apache.spark.scheduler.LiveListenerBus: 
> SparkListenerBus has already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(164,WrappedArray())
> 2015-11-26,03:05:27,242 INFO org.apache.spark.deploy.yarn.YarnAllocator: Will 
> request 13 executor containers, each with 1 cores and 4608 MB memory 
> including 1024 MB overhead



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