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  1. Hadoop YARN
  2. YARN-5139

[Umbrella] Move YARN scheduler towards global scheduler



    • Type: New Feature
    • Status: Open
    • Priority: Major
    • Resolution: Unresolved
    • Affects Version/s: None
    • Fix Version/s: None
    • Component/s: None
    • Labels:


      Existing YARN scheduler is based on node heartbeat. This can lead to sub-optimal decisions because scheduler can only look at one node at the time when scheduling resources.

      Pseudo code of existing scheduling logic looks like:

      for node in allNodes:
         Go to parentQueue
            Go to leafQueue
              for application in leafQueue.applications:
                 for resource-request in application.resource-requests
                    try to schedule on node

      Considering future complex resource placement requirements, such as node constraints (give me "a && b || c") or anti-affinity (do not allocate HBase regionsevers and Storm workers on the same host), we may need to consider moving YARN scheduler towards global scheduling.


        1. YARN-5139.000.patch
          402 kB
          Wangda Tan
        2. wip-5.YARN-5139.patch
          386 kB
          Wangda Tan
        3. YARN-5139-Concurrent-scheduling-performance-report.pdf
          96 kB
          Wangda Tan
        4. Explanantions of Global Scheduling (YARN-5139) Implementation.pdf
          283 kB
          Wangda Tan
        5. wip-4.YARN-5139.patch
          447 kB
          Wangda Tan
        6. YARN-5139-Global-Schedulingd-esign-and-implementation-notes-v2.pdf
          285 kB
          Wangda Tan
        7. YARN-5139-Global-Schedulingd-esign-and-implementation-notes.pdf
          245 kB
          Wangda Tan
        8. wip-3.YARN-5139.patch
          133 kB
          Wangda Tan
        9. wip-2.YARN-5139.patch
          95 kB
          Wangda Tan
        10. wip-1.YARN-5139.patch
          76 kB
          Wangda Tan

          Issue Links



              • Assignee:
                leftnoteasy Wangda Tan
                leftnoteasy Wangda Tan
              • Votes:
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