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JiYeon OH commented on SPARK-12009: ----------------------------------- I'm having the same problem with Spark 2.1.0 I have some jobs with exact same code and had a few jobs failed. In the jobs that finished successfully, there was this message after the job finished 17/06/15 00:26:02 INFO YarnAllocator: Driver requested a total number of 0 executor(s). But in the jobs that filaed, there was this message instead 17/06/16 14:31:14 ERROR LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerExecutorMetricsUpdate(10,WrappedArray()) I'm guessing the YarnAllocator must have requested some executors after spark job was finished, but can't' find out why. and why is YarnAllocator requesting executors after job finished???? Does anyone know why?? > 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 > Assignee: SuYan > Priority: Minor > Fix For: 2.0.0 > > > Log based 1.4.0 > 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 -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org