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Posted to issues@spark.apache.org by "Zhan Zhang (JIRA)" <ji...@apache.org> on 2016/09/22 18:33:20 UTC

[jira] [Created] (SPARK-17637) Packed scheduling for Spark tasks across executors

Zhan Zhang created SPARK-17637:
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             Summary: 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
            Reporter: Zhan Zhang
            Priority: Minor


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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