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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/08/12 06:08:00 UTC
[jira] [Assigned] (SPARK-32597) Tune Event Drop in Async Event
Queue
[ https://issues.apache.org/jira/browse/SPARK-32597?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-32597:
------------------------------------
Assignee: Apache Spark
> Tune Event Drop in Async Event Queue
> ------------------------------------
>
> Key: SPARK-32597
> URL: https://issues.apache.org/jira/browse/SPARK-32597
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Affects Versions: 3.0.0
> Reporter: Saurabh Chawla
> Assignee: Apache Spark
> Priority: Minor
>
> There are scenarios where we have seen the event drop in spark, resulting in the inconsistent state for the spark Application(some time application is hung state).
>
> For example - This can be due to the large number of parallel task processing. Producer thread keeps on adding the events to the
> Queue and Consumer thread is consuming the events at the slower rate compare to the Producer adding in the queue. Resulting the
> Queue to reach max size and events get dropped from that.
> There are times if Queue Size would be little bit higher like 10 percent (or 20 percent) extra of the existing Queue size, the events
> can be processed preventing the event drop at that point of time.
> As per the current architecture size of event Queue can be configured at start of the application by setting spark.scheduler.listenerbus.eventqueue.capacity. Once this is set there is fixed size event Queue(LinkedBlockingQueue), which cannot be changed
> at run time to accommodate some extra events before dropping event from the Queue
> This Jira for adding a support of VariableLinkedBlockingQueue to tune the dropping of the events.
> VariableLinkedBlockingQueue -> https://www.rabbitmq.com/releases/rabbitmq-java-client/v3.5.4/rabbitmq-java-client-javadoc-3.5.4/com/rabbitmq/client/impl/VariableLinkedBlockingQueue.html
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