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https://issues.apache.org/jira/browse/SPARK-19068?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Artur Sukhenko resolved SPARK-19068.
------------------------------------
       Resolution: Duplicate
    Fix Version/s: 2.2.0

Closing as duplicate of SPARK-19146. 
Messages like :
{code}ERROR scheduler.LiveListenerBus: SparkListenerBus has already stopped! 
Dropping event SparkListenerExecutorMetricsUpdate(136,WrappedArray()){code}
are the result of problem discussed in SPARK-19146.

> Large number of executors causing a ton of ERROR scheduler.LiveListenerBus: 
> SparkListenerBus has already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(41,WrappedArray())
> --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
>                 Key: SPARK-19068
>                 URL: https://issues.apache.org/jira/browse/SPARK-19068
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 2.0.1, 2.1.0
>         Environment: RHEL 7.2
>            Reporter: JESSE CHEN
>             Fix For: 2.2.0
>
>         Attachments: sparklog.tar.gz
>
>
> On a large cluster with 45TB RAM and 1,000 cores, we used 1008 executors in 
> order to use all RAM and cores for a 100TB Spark SQL workload. Long-running 
> queries tend to report the following ERRORs
> {noformat}
> 16/12/27 12:44:28 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(136,WrappedArray())
> 16/12/27 12:44:28 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(853,WrappedArray())
> 16/12/27 12:44:28 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(395,WrappedArray())
> 16/12/27 12:44:28 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(736,WrappedArray())
> 16/12/27 12:44:28 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(439,WrappedArray())
> 16/12/27 12:44:28 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(16,WrappedArray())
> 16/12/27 12:44:28 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(307,WrappedArray())
> 16/12/27 12:44:28 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(51,WrappedArray())
> 16/12/27 12:44:29 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(535,WrappedArray())
> 16/12/27 12:44:29 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(63,WrappedArray())
> 16/12/27 12:44:29 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(333,WrappedArray())
> 16/12/27 12:44:29 ERROR scheduler.LiveListenerBus: SparkListenerBus has 
> already stopped! Dropping event 
> SparkListenerExecutorMetricsUpdate(484,WrappedArray())
> ....(omitted) 
> {noformat}
> The message itself maybe a reasonable response to a already stopped 
> SparkListenerBus (so subsequent events are thrown away with that ERROR 
> message). The issue is that because SparkContext does NOT exit until all 
> these ERROR/events are reported, which is a huge number in our setup -- and 
> this can take, in some cases, hours!!!
> We tried increasing the 
> Adding default property: spark.scheduler.listenerbus.eventqueue.size=130000
> from 10K, this still occurs. 



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