Github user squito commented on a diff in the pull request: https://github.com/apache/spark/pull/18950#discussion_r133311882 --- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskSetManager.scala --- @@ -454,64 +477,68 @@ private[spark] class TaskSetManager( } } - dequeueTask(execId, host, allowedLocality).map { case ((index, taskLocality, speculative)) => - // Found a task; do some bookkeeping and return a task description - val task = tasks(index) - val taskId = sched.newTaskId() - // Do various bookkeeping - copiesRunning(index) += 1 - val attemptNum = taskAttempts(index).size - val info = new TaskInfo(taskId, index, attemptNum, curTime, - execId, host, taskLocality, speculative) - taskInfos(taskId) = info - taskAttempts(index) = info :: taskAttempts(index) - // Update our locality level for delay scheduling - // NO_PREF will not affect the variables related to delay scheduling - if (maxLocality != TaskLocality.NO_PREF) { - currentLocalityIndex = getLocalityIndex(taskLocality) - lastLaunchTime = curTime - } - // Serialize and return the task - val serializedTask: ByteBuffer = try { - ser.serialize(task) - } catch { - // If the task cannot be serialized, then there's no point to re-attempt the task, - // as it will always fail. So just abort the whole task-set. - case NonFatal(e) => - val msg = s"Failed to serialize task $taskId, not attempting to retry it." - logError(msg, e) - abort(s"$msg Exception during serialization: $e") - throw new TaskNotSerializableException(e) - } - if (serializedTask.limit > TaskSetManager.TASK_SIZE_TO_WARN_KB * 1024 && - !emittedTaskSizeWarning) { - emittedTaskSizeWarning = true - logWarning(s"Stage ${task.stageId} contains a task of very large size " + - s"(${serializedTask.limit / 1024} KB). The maximum recommended task size is " + - s"${TaskSetManager.TASK_SIZE_TO_WARN_KB} KB.") - } - addRunningTask(taskId) - - // We used to log the time it takes to serialize the task, but task size is already - // a good proxy to task serialization time. - // val timeTaken = clock.getTime() - startTime - val taskName = s"task ${info.id} in stage ${taskSet.id}" - logInfo(s"Starting $taskName (TID $taskId, $host, executor ${info.executorId}, " + - s"partition ${task.partitionId}, $taskLocality, ${serializedTask.limit} bytes)") - - sched.dagScheduler.taskStarted(task, info) - new TaskDescription( - taskId, - attemptNum, - execId, - taskName, - index, - addedFiles, - addedJars, - task.localProperties, - serializedTask) + dequeueTask(execId, host, allowedLocality).map { --- End diff -- unintentional reformat?
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