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https://issues.apache.org/jira/browse/SPARK-7959?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14566891#comment-14566891
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Nishkam Ravi commented on SPARK-7959:
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New feature JIRA: https://issues.apache.org/jira/browse/SPARK-7988
> 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.
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