michael procopio created SPARK-19030:
----------------------------------------
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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
