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Posted to issues@spark.apache.org by "michael procopio (JIRA)" <ji...@apache.org> on 2016/12/29 21:22:58 UTC

[jira] [Created] (SPARK-19030) Dropped event errors being reported after SparkContext has been stopped

michael procopio created SPARK-19030:
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             Summary: Dropped event errors being reported after SparkContext has been stopped
                 Key: SPARK-19030
                 URL: https://issues.apache.org/jira/browse/SPARK-19030
             Project: Spark
          Issue Type: Bug
          Components: Spark Core
    Affects Versions: 2.0.2
         Environment: Debian 8 using spark-submit with MATLAB integration spark code is being code using java.
            Reporter: michael procopio
            Priority: Minor


After stop has been called on SparkContext, errors are being reported.

6/12/29 15:54:04 ERROR scheduler.LiveListenerBus: SparkListenerBus has already stopped! Dropping event SparkListenerExecutorMetricsUpdate(2,WrappedArray())

The stack in the hearbeat thread is at the point where the error is thrown is:

Daemon Thread [heartbeat-receiver-event-loop-thread] (Suspended (breakpoint at line 124 in LiveListenerBus))	
	LiveListenerBus.post(SparkListenerEvent) line: 124	
	DAGScheduler.executorHeartbeatReceived(String, Tuple4<Object,Object,Object,Seq<AccumulableInfo>>[], BlockManagerId) line: 228	
	YarnScheduler(TaskSchedulerImpl).executorHeartbeatReceived(String, Tuple2<Object,Seq<AccumulatorV2<?,?>>>[], BlockManagerId) line: 402	
	HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2$$anonfun$run$2.apply$mcV$sp() line: 128	
	Utils$.tryLogNonFatalError(Function0<BoxedUnit>) line: 1290	
	HeartbeatReceiver$$anonfun$receiveAndReply$1$$anon$2.run() line: 127	
	Executors$RunnableAdapter<T>.call() line: 511	
	ScheduledThreadPoolExecutor$ScheduledFutureTask<V>(FutureTask<V>).run() line: 266	
	ScheduledThreadPoolExecutor$ScheduledFutureTask<V>.access$201(ScheduledThreadPoolExecutor$ScheduledFutureTask) line: 180	
	ScheduledThreadPoolExecutor$ScheduledFutureTask<V>.run() line: 293	
	ScheduledThreadPoolExecutor(ThreadPoolExecutor).runWorker(ThreadPoolExecutor$Worker) line: 1142	
	ThreadPoolExecutor$Worker.run() line: 617	
	Thread.run() line: 745	




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