[jira] [Created] (SPARK-32597) Tune Event Drop in Async Event Queue

["Saurabh Chawla (Jira)" <ji...@apache.org>]

Saurabh Chawla created SPARK-32597:
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             Summary: 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


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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