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From vanzin <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-8167] Make tasks that fail from YARN pr...
Date Tue, 18 Aug 2015 21:29:52 GMT
Github user vanzin commented on a diff in the pull request:

    https://github.com/apache/spark/pull/8007#discussion_r37356067
  
    --- Diff: yarn/src/main/scala/org/apache/spark/deploy/yarn/YarnAllocator.scala ---
    @@ -207,6 +211,17 @@ private[yarn] class YarnAllocator(
       }
     
       /**
    +   * Gets the executor loss reason for a disconnected executor.
    +   * Note that this method is expected to be called exactly once per executor ID.
    +   */
    +  def getExecutorLossReason(executorId: String): ExecutorLossReason = synchronized {
    +    allocateResources()
    +    // Expect to be asked for a loss reason once and exactly once.
    +    assert(completedExecutorExitReasons.contains(executorId))
    --- End diff --
    
    Isn't this racy? Is there a possibility that even after calling `allocateResources` we'll
still not know about why a particular executor has exited?


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