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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/12/23 09:06:33 UTC

[GitHub] [spark] seayoun commented on a change in pull request #26980: [SPARK-27348][Core] HeartbeatReceiver should remove lost executors from CoarseGrainedSchedulerBackend

seayoun commented on a change in pull request #26980: [SPARK-27348][Core] HeartbeatReceiver should remove lost executors from CoarseGrainedSchedulerBackend
URL: https://github.com/apache/spark/pull/26980#discussion_r360815277
 
 

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 File path: core/src/main/scala/org/apache/spark/HeartbeatReceiver.scala
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 @@ -199,14 +201,20 @@ private[spark] class HeartbeatReceiver(sc: SparkContext, clock: Clock)
       if (now - lastSeenMs > executorTimeoutMs) {
         logWarning(s"Removing executor $executorId with no recent heartbeats: " +
           s"${now - lastSeenMs} ms exceeds timeout $executorTimeoutMs ms")
-        scheduler.executorLost(executorId, SlaveLost("Executor heartbeat " +
-          s"timed out after ${now - lastSeenMs} ms"))
-          // Asynchronously kill the executor to avoid blocking the current thread
+        // Asynchronously kill the executor to avoid blocking the current thread
         killExecutorThread.submit(new Runnable {
           override def run(): Unit = Utils.tryLogNonFatalError {
             // Note: we want to get an executor back after expiring this one,
             // so do not simply call `sc.killExecutor` here (SPARK-8119)
             sc.killAndReplaceExecutor(executorId)
+            // In case of the executors which are not gracefully shut down, we should remove
 
 Review comment:
   The executor may lost in network route, `CoarseGrainedSchedulerBackend` can't handle disconnect event, it happened in our production environment, too.

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