[ 
https://issues.apache.org/jira/browse/SPARK-14846?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15255375#comment-15255375
 ] 

Mattias Aspholm commented on SPARK-14846:
-----------------------------------------

Yes, you're right of course. Sorry about that. I'm still having problems with 
the driver not closing down in graceful (even though there's no work left), but 
I realise now my initial conclusions was bad, the reason why it hangs in 
awaitTermination is that the termination condition is not signaled. I need to 
find out why that happens.

Ok for me to close this bug as invalid. I'll file another one if it turns out 
to be some bug after all.


> Driver process fails to terminate when graceful shutdown is used
> ----------------------------------------------------------------
>
>                 Key: SPARK-14846
>                 URL: https://issues.apache.org/jira/browse/SPARK-14846
>             Project: Spark
>          Issue Type: Bug
>          Components: Streaming
>    Affects Versions: 1.6.1
>            Reporter: Mattias Aspholm
>
> During shutdown, the job scheduler in Streaming (JobScheduler.stop) spends 
> some time waiting for all queued work to complete. If graceful shutdown is 
> used, the time is 1 hour, for non-graceful shutdown it's 2 seconds.
> The wait is implemented using the ThreadPoolExecutor.awaitTermination method 
> in java.util.concurrent. The problem is that instead of looping over the 
> method for the desired period of time, the wait period is passed in as the 
> timeout parameter to awaitTermination. 
> The result is that if the termination condition is false the first time, the 
> method will sleep for the timeout period before trying again. In the case of 
> graceful shutdown this means at least an hour's wait before the condition is 
> checked again, even though all work is completed in just a few seconds. The 
> driver process will continue to live during this time.



--
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

Reply via email to