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https://issues.apache.org/jira/browse/SPARK-17637?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15579382#comment-15579382
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Reynold Xin commented on SPARK-17637:
-------------------------------------
Note: I reverted the commit due to quality issues. We can improve it and merge
it again.
> Packed scheduling for Spark tasks across executors
> --------------------------------------------------
>
> Key: SPARK-17637
> URL: https://issues.apache.org/jira/browse/SPARK-17637
> Project: Spark
> Issue Type: Improvement
> Components: Scheduler
> Affects Versions: 2.1.0
> Reporter: Zhan Zhang
> Assignee: Zhan Zhang
> Priority: Minor
> Fix For: 2.1.0
>
>
> Currently Spark scheduler implements round robin scheduling for tasks to
> executors. Which is great as it distributes the load evenly across the
> cluster, but this leads to significant resource waste in some cases,
> especially when dynamic allocation is enabled.
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