[
https://issues.apache.org/jira/browse/SPARK-8344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14600337#comment-14600337
]
Apache Spark commented on SPARK-8344:
-------------------------------------
User 'JoshRosen' has created a pull request for this issue:
https://github.com/apache/spark/pull/7002
> Add internal metrics / logging for DAGScheduler to detect long pauses /
> blocking
> --------------------------------------------------------------------------------
>
> Key: SPARK-8344
> URL: https://issues.apache.org/jira/browse/SPARK-8344
> Project: Spark
> Issue Type: New Feature
> Components: Scheduler, Spark Core
> Reporter: Josh Rosen
>
> It would be useful to be able to log warnings if the DAGScheduler event
> processing loop blocks for more than a certain amount of time (or if its
> message inbox grows too large). This debugging logging (probably disabled by
> default) would be very helpful for finding places where the scheduling loop
> blocks / slows down.
> We might be able to infer this information now from the web UI scheduler
> delays, but that's kind of hard to parse out of logs or use to raise
> monitoring alerts.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
