Github user dhruve commented on a diff in the pull request:

    https://github.com/apache/spark/pull/14926#discussion_r77683485
  
    --- Diff: 
core/src/main/scala/org/apache/spark/ExecutorAllocationManager.scala ---
    @@ -392,10 +397,36 @@ private[spark] class ExecutorAllocationManager(
       }
     
       /**
    -   * Request the cluster manager to remove the given executor.
    +   * Request the cluster manager to remove the given executors.
        * Return whether the request is received.
        */
    -  private def removeExecutor(executorId: String): Boolean = synchronized {
    +  private def removeExecutors(executorIds: Seq[String]): Boolean = 
synchronized {
    +
    +    val executorIdsToBeRemoved = executorIds.filter(canBeKilled)
    +
    +    // Send a request to the backend to kill this executor
    +    val removeRequestAcknowledged = testing || 
client.killExecutors(executorIdsToBeRemoved)
    --- End diff --
    
    As @vanzin mentioned, the ```CoarseGrainedSchedulerBackend``` filters out 
executors based on whether we want to force kill the executors which are 
already running and the one's which are already pending to be removed. 
    
    In our case, we are requesting to kill the executors which have remained 
idle for the configured timeout duration. AFAIK this does not lead to filtering 
out any executors unless they are already marked for removal which is harmless. 


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