Package org.apache.hadoop.mapreduce.v2.app.job.event

Examples of org.apache.hadoop.mapreduce.v2.app.job.event.JobDiagnosticsUpdateEvent

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      LOG.debug("Processing " + event.getTaskAttemptID() + " of type "
          + event.getType());
    }
    writeLock.lock();
    try {
      final TaskAttemptStateInternal oldState = getInternalState()  ;
      try {
        stateMachine.doTransition(event.getType(), event);
      } catch (InvalidStateTransitonException e) {
        LOG.error("Can't handle this event at current state for "
            + this.attemptId, e);
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        recoveredState = TaskAttemptState.KILLED.toString();
        needToClean = true;
      }
    }

    TaskAttemptStateInternal attemptState;
    if (TaskAttemptState.SUCCEEDED.toString().equals(recoveredState)) {
      attemptState = TaskAttemptStateInternal.SUCCEEDED;
      reportedStatus.taskState = TaskAttemptState.SUCCEEDED;
      eventHandler.handle(createJobCounterUpdateEventTASucceeded(this));
      logAttemptFinishedEvent(attemptState);
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  }

  private static JobCounterUpdateEvent createJobCounterUpdateEventTASucceeded(
      TaskAttemptImpl taskAttempt) {
    TaskId taskId = taskAttempt.attemptId.getTaskId();
    JobCounterUpdateEvent jce = new JobCounterUpdateEvent(taskId.getJobId());
    updateMillisCounters(jce, taskAttempt);
    return jce;
  }
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  }
 
  private static JobCounterUpdateEvent createJobCounterUpdateEventTAFailed(
      TaskAttemptImpl taskAttempt, boolean taskAlreadyCompleted) {
    TaskType taskType = taskAttempt.getID().getTaskId().getTaskType();
    JobCounterUpdateEvent jce = new JobCounterUpdateEvent(taskAttempt.getID().getTaskId().getJobId());
   
    if (taskType == TaskType.MAP) {
      jce.addCounterUpdate(JobCounter.NUM_FAILED_MAPS, 1);
    } else {
      jce.addCounterUpdate(JobCounter.NUM_FAILED_REDUCES, 1);
    }
    if (!taskAlreadyCompleted) {
      updateMillisCounters(jce, taskAttempt);
    }
    return jce;
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  }
 
  private static JobCounterUpdateEvent createJobCounterUpdateEventTAKilled(
      TaskAttemptImpl taskAttempt, boolean taskAlreadyCompleted) {
    TaskType taskType = taskAttempt.getID().getTaskId().getTaskType();
    JobCounterUpdateEvent jce = new JobCounterUpdateEvent(taskAttempt.getID().getTaskId().getJobId());
   
    if (taskType == TaskType.MAP) {
      jce.addCounterUpdate(JobCounter.NUM_KILLED_MAPS, 1);
    } else {
      jce.addCounterUpdate(JobCounter.NUM_KILLED_REDUCES, 1);
    }
    if (!taskAlreadyCompleted) {
      updateMillisCounters(jce, taskAttempt);
    }
    return jce;
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    return tauce;
  }

  @SuppressWarnings("unchecked")
  private void sendLaunchedEvents() {
    JobCounterUpdateEvent jce = new JobCounterUpdateEvent(attemptId.getTaskId()
        .getJobId());
    jce.addCounterUpdate(attemptId.getTaskId().getTaskType() == TaskType.MAP ?
        JobCounter.TOTAL_LAUNCHED_MAPS : JobCounter.TOTAL_LAUNCHED_REDUCES, 1);
    eventHandler.handle(jce);

    LOG.info("TaskAttempt: [" + attemptId
        + "] using containerId: [" + container.getId() + " on NM: ["
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      try {
        stateMachine.doTransition(event.getType(), event);
      } catch (InvalidStateTransitonException e) {
        LOG.error("Can't handle this event at current state for "
            + this.attemptId, e);
        eventHandler.handle(new JobDiagnosticsUpdateEvent(
            this.attemptId.getTaskId().getJobId(), "Invalid event " + event.getType() +
            " on TaskAttempt " + this.attemptId));
        eventHandler.handle(new JobEvent(this.attemptId.getTaskId().getJobId(),
            JobEventType.INTERNAL_ERROR));
      }
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  @Test
  public void testReportDiagnostics() throws Exception {
    JobID jobID = JobID.forName("job_1234567890000_0001");
    JobId jobId = TypeConverter.toYarn(jobID);
    final String diagMsg = "some diagnostic message";
    final JobDiagnosticsUpdateEvent diagUpdateEvent =
        new JobDiagnosticsUpdateEvent(jobId, diagMsg);
    MRAppMetrics mrAppMetrics = MRAppMetrics.create();
    AppContext mockContext = mock(AppContext.class);
    when(mockContext.hasSuccessfullyUnregistered()).thenReturn(true);
    JobImpl job = new JobImpl(jobId, Records
        .newRecord(ApplicationAttemptId.class), new Configuration(),
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  @Test
  public void testReportDiagnostics() throws Exception {
    JobID jobID = JobID.forName("job_1234567890000_0001");
    JobId jobId = TypeConverter.toYarn(jobID);
    final String diagMsg = "some diagnostic message";
    final JobDiagnosticsUpdateEvent diagUpdateEvent =
        new JobDiagnosticsUpdateEvent(jobId, diagMsg);
    MRAppMetrics mrAppMetrics = MRAppMetrics.create();
    JobImpl job = new JobImpl(jobId, Records
        .newRecord(ApplicationAttemptId.class), new Configuration(),
        mock(EventHandler.class),
        null, mock(JobTokenSecretManager.class), null,
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          if (mapResourceRequest > supportedMaxContainerCapability) {
            String diagMsg = "MAP capability required is more than the supported " +
            "max container capability in the cluster. Killing the Job. mapResourceRequest: " +
                mapResourceRequest + " maxContainerCapability:" + supportedMaxContainerCapability;
            LOG.info(diagMsg);
            eventHandler.handle(new JobDiagnosticsUpdateEvent(
                jobId, diagMsg));
            eventHandler.handle(new JobEvent(jobId, JobEventType.JOB_KILL));
          }
        }
        //set the rounded off memory
        reqEvent.getCapability().setMemory(mapResourceRequest);
        scheduledRequests.addMap(reqEvent);//maps are immediately scheduled
      } else {
        if (reduceResourceRequest == 0) {
          reduceResourceRequest = reqEvent.getCapability().getMemory();
          eventHandler.handle(new JobHistoryEvent(jobId,
              new NormalizedResourceEvent(
                  org.apache.hadoop.mapreduce.TaskType.REDUCE,
                  reduceResourceRequest)));
          LOG.info("reduceResourceRequest:"+ reduceResourceRequest);
          if (reduceResourceRequest > supportedMaxContainerCapability) {
            String diagMsg = "REDUCE capability required is more than the " +
                "supported max container capability in the cluster. Killing the " +
                "Job. reduceResourceRequest: " + reduceResourceRequest +
                " maxContainerCapability:" + supportedMaxContainerCapability;
            LOG.info(diagMsg);
            eventHandler.handle(new JobDiagnosticsUpdateEvent(
                jobId, diagMsg));
            eventHandler.handle(new JobEvent(jobId, JobEventType.JOB_KILL));
          }
        }
        //set the rounded off memory
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Related Classes of org.apache.hadoop.mapreduce.v2.app.job.event.JobDiagnosticsUpdateEvent

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  • org.apache.hadoop.mapred.JobConf
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