[
https://issues.apache.org/jira/browse/SPARK-7959?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Patrick Wendell closed SPARK-7959.
----------------------------------
Resolution: Not A Problem
The scheduling of receivers is not deterministic and based on Spark's
underlying scheduler, so I don't think this violates existing expectations.
If the request is to add a new feature that gives some control over receiver
scheduling (probably a good idea), please feel free to open a new feature JIRA.
> Uneven distribution of receivers in the cluster
> -----------------------------------------------
>
> Key: SPARK-7959
> URL: https://issues.apache.org/jira/browse/SPARK-7959
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.3.1, 1.4.0
> Reporter: Nishkam Ravi
> Attachments: Screen Shot 2015-05-29 at 3.52.01 PM.png
>
>
> Receivers are not getting scheduled as expected. Attached is a screenshot for
> 8 receivers running on a cluster with 4 workers. In some cases, all receivers
> get scheduled on a single node. When the receivers get distributed evenly,
> the throughput can be upto 25% better (for the workload experimented with).
> Not sure if this is a known issue and I haven't investigated it further. But
> given that I do see perfectly well distributed receivers (in round robin
> fashion) at times, my hunch is that the receivers are racing with other
> jobs/tasks being scheduled.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
