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From tdas <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-10137][Streaming]Avoid to restart recei...
Date Mon, 24 Aug 2015 00:54:19 GMT
Github user tdas commented on a diff in the pull request:

    https://github.com/apache/spark/pull/8340#discussion_r37713192
  
    --- Diff: streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceiverTracker.scala
---
    @@ -431,7 +450,8 @@ class ReceiverTracker(ssc: StreamingContext, skipReceiverLaunch: Boolean
= false
               receiver.preferredLocation,
               receiverTrackingInfos,
               getExecutors)
    -        updateReceiverScheduledExecutors(receiver.streamId, scheduledExecutors)
    --- End diff --
    
    @zsxwing explained me this offline. In case of resecheduling, the scheduled executors
are not stored so that the following scenario does not occur.
    - Initial globally-optimal schedule is stored, but one receiver gets launched incorrectly.

    - The receiver is rejected and therefore has to be rescheduled, but if the rescheduled
location (which is locally-optimal for that receiver) is saved, it will overwrite the original
globally optimal location, and will get launched somewhere else that does not ensure the proper
global balancing.


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