Java Job.getTasks方法代码示例

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
private void testMRAppHistory(MRApp app) throws Exception {
  Configuration conf = new Configuration();
  Job job = app.submit(conf);
  app.waitForState(job, JobState.FAILED);
  Map<TaskId, Task> tasks = job.getTasks();

  Assert.assertEquals("Num tasks is not correct", 1, tasks.size());
  Task task = tasks.values().iterator().next();
  Assert.assertEquals("Task state not correct", TaskState.FAILED, task
      .getReport().getTaskState());
  Map<TaskAttemptId, TaskAttempt> attempts = tasks.values().iterator().next()
      .getAttempts();
  Assert.assertEquals("Num attempts is not correct", 4, attempts.size());

  Iterator<TaskAttempt> it = attempts.values().iterator();
  TaskAttemptReport report = it.next().getReport();
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.FAILED,
      report.getTaskAttemptState());
  Assert.assertEquals("Diagnostic Information is not Correct",
      "Test Diagnostic Event", report.getDiagnosticInfo());
  report = it.next().getReport();
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.FAILED,
      report.getTaskAttemptState());
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Test
//First attempt is failed and second attempt is passed
//The job succeeds.
public void testFailTask() throws Exception {
  MRApp app = new MockFirstFailingAttemptMRApp(1, 0);
  Configuration conf = new Configuration();
  // this test requires two task attempts, but uberization overrides max to 1
  conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
  Job job = app.submit(conf);
  app.waitForState(job, JobState.SUCCEEDED);
  Map<TaskId,Task> tasks = job.getTasks();
  Assert.assertEquals("Num tasks is not correct", 1, tasks.size());
  Task task = tasks.values().iterator().next();
  Assert.assertEquals("Task state not correct", TaskState.SUCCEEDED,
      task.getReport().getTaskState());
  Map<TaskAttemptId, TaskAttempt> attempts =
      tasks.values().iterator().next().getAttempts();
  Assert.assertEquals("Num attempts is not correct", 2, attempts.size());
  //one attempt must be failed 
  //and another must have succeeded
  Iterator<TaskAttempt> it = attempts.values().iterator();
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.FAILED,
      it.next().getReport().getTaskAttemptState());
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.SUCCEEDED,
      it.next().getReport().getTaskAttemptState());
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Test
//All Task attempts are timed out, leading to Job failure
public void testTimedOutTask() throws Exception {
  MRApp app = new TimeOutTaskMRApp(1, 0);
  Configuration conf = new Configuration();
  int maxAttempts = 2;
  conf.setInt(MRJobConfig.MAP_MAX_ATTEMPTS, maxAttempts);
  // disable uberization (requires entire job to be reattempted, so max for
  // subtask attempts is overridden to 1)
  conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
  Job job = app.submit(conf);
  app.waitForState(job, JobState.FAILED);
  Map<TaskId,Task> tasks = job.getTasks();
  Assert.assertEquals("Num tasks is not correct", 1, tasks.size());
  Task task = tasks.values().iterator().next();
  Assert.assertEquals("Task state not correct", TaskState.FAILED,
      task.getReport().getTaskState());
  Map<TaskAttemptId, TaskAttempt> attempts =
      tasks.values().iterator().next().getAttempts();
  Assert.assertEquals("Num attempts is not correct", maxAttempts,
      attempts.size());
  for (TaskAttempt attempt : attempts.values()) {
    Assert.assertEquals("Attempt state not correct", TaskAttemptState.FAILED,
        attempt.getReport().getTaskAttemptState());
  }
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Override
protected Collection<TaskAttempt> getTaskAttempts() {
  List<TaskAttempt> fewTaskAttemps = new ArrayList<TaskAttempt>();
  String taskTypeStr = $(TASK_TYPE);
  TaskType taskType = MRApps.taskType(taskTypeStr);
  String attemptStateStr = $(ATTEMPT_STATE);
  TaskAttemptStateUI neededState = MRApps
      .taskAttemptState(attemptStateStr);
  Job j = app.getJob();
  Map<TaskId, Task> tasks = j.getTasks(taskType);
  for (Task task : tasks.values()) {
    Map<TaskAttemptId, TaskAttempt> attempts = task.getAttempts();
    for (TaskAttempt attempt : attempts.values()) {
      if (neededState.correspondsTo(attempt.getState())) {
        fewTaskAttemps.add(attempt);
      }
    }
  }
  return fewTaskAttemps;
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Test
public void testKillJob() throws Exception {
  final CountDownLatch latch = new CountDownLatch(1);
  
  MRApp app = new BlockingMRApp(1, 0, latch);
  //this will start the job but job won't complete as task is
  //blocked
  Job job = app.submit(new Configuration());
  
  //wait and vailidate for Job to become RUNNING
  app.waitForState(job, JobState.RUNNING);
  
  //send the kill signal to Job
  app.getContext().getEventHandler().handle(
      new JobEvent(job.getID(), JobEventType.JOB_KILL));
  
  //unblock Task
  latch.countDown();

  //wait and validate for Job to be KILLED
  app.waitForState(job, JobState.KILLED);
  Map<TaskId,Task> tasks = job.getTasks();
  Assert.assertEquals("No of tasks is not correct", 1, 
      tasks.size());
  Task task = tasks.values().iterator().next();
  Assert.assertEquals("Task state not correct", TaskState.KILLED, 
      task.getReport().getTaskState());
  Map<TaskAttemptId, TaskAttempt> attempts = 
    tasks.values().iterator().next().getAttempts();
  Assert.assertEquals("No of attempts is not correct", 1, 
      attempts.size());
  Iterator<TaskAttempt> it = attempts.values().iterator();
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.KILLED, 
        it.next().getReport().getTaskAttemptState());
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Test public void testSingleCounterView() {
  AppContext appContext = new MockAppContext(0, 1, 1, 1);
  Job job = appContext.getAllJobs().values().iterator().next();
  // add a failed task to the job without any counters
  Task failedTask = MockJobs.newTask(job.getID(), 2, 1, true);
  Map<TaskId,Task> tasks = job.getTasks();
  tasks.put(failedTask.getID(), failedTask);
  Map<String, String> params = getJobParams(appContext);
  params.put(AMParams.COUNTER_GROUP, 
      "org.apache.hadoop.mapreduce.FileSystemCounter");
  params.put(AMParams.COUNTER_NAME, "HDFS_WRITE_OPS");
  WebAppTests.testPage(SingleCounterPage.class, AppContext.class,
                       appContext, params);
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Test
public void testTaskFailWithUnusedContainer() throws Exception {
  MRApp app = new MRAppWithFailingTaskAndUnusedContainer();
  Configuration conf = new Configuration();
  int maxAttempts = 1;
  conf.setInt(MRJobConfig.MAP_MAX_ATTEMPTS, maxAttempts);
  // disable uberization (requires entire job to be reattempted, so max for
  // subtask attempts is overridden to 1)
  conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
  Job job = app.submit(conf);
  app.waitForState(job, JobState.RUNNING);
  Map<TaskId, Task> tasks = job.getTasks();
  Assert.assertEquals("Num tasks is not correct", 1, tasks.size());
  Task task = tasks.values().iterator().next();
  app.waitForState(task, TaskState.SCHEDULED);
  Map<TaskAttemptId, TaskAttempt> attempts = tasks.values().iterator()
      .next().getAttempts();
  Assert.assertEquals("Num attempts is not correct", maxAttempts, attempts
      .size());
  TaskAttempt attempt = attempts.values().iterator().next();
  app.waitForInternalState((TaskAttemptImpl) attempt,
      TaskAttemptStateInternal.ASSIGNED);
  app.getDispatcher().getEventHandler().handle(
      new TaskAttemptEvent(attempt.getID(),
          TaskAttemptEventType.TA_CONTAINER_COMPLETED));
  app.waitForState(job, JobState.FAILED);
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
/**
 * Verify that all the events are flushed on stopping the HistoryHandler
 * @throws Exception
 */
@Test
public void testEventsFlushOnStop() throws Exception {

  Configuration conf = new Configuration();
  MRApp app = new MRAppWithSpecialHistoryHandler(1, 0, true, this
      .getClass().getName(), true);
  app.submit(conf);
  Job job = app.getContext().getAllJobs().values().iterator().next();
  JobId jobId = job.getID();
  LOG.info("JOBID is " + TypeConverter.fromYarn(jobId).toString());
  app.waitForState(job, JobState.SUCCEEDED);

  // make sure all events are flushed
  app.waitForState(Service.STATE.STOPPED);
  /*
   * Use HistoryContext to read logged events and verify the number of
   * completed maps
   */
  HistoryContext context = new JobHistory();
  ((JobHistory) context).init(conf);
  Job parsedJob = context.getJob(jobId);
  Assert.assertEquals("CompletedMaps not correct", 1, parsedJob
      .getCompletedMaps());

  Map<TaskId, Task> tasks = parsedJob.getTasks();
  Assert.assertEquals("No of tasks not correct", 1, tasks.size());
  verifyTask(tasks.values().iterator().next());

  Map<TaskId, Task> maps = parsedJob.getTasks(TaskType.MAP);
  Assert.assertEquals("No of maps not correct", 1, maps.size());

  Assert.assertEquals("Job state not currect", JobState.SUCCEEDED,
      parsedJob.getState());
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
private int maybeScheduleASpeculation(TaskType type) {
  int successes = 0;

  long now = clock.getTime();

  ConcurrentMap<JobId, AtomicInteger> containerNeeds
      = type == TaskType.MAP ? mapContainerNeeds : reduceContainerNeeds;

  for (ConcurrentMap.Entry<JobId, AtomicInteger> jobEntry : containerNeeds.entrySet()) {
    // This race conditon is okay.  If we skip a speculation attempt we
    //  should have tried because the event that lowers the number of
    //  containers needed to zero hasn't come through, it will next time.
    // Also, if we miss the fact that the number of containers needed was
    //  zero but increased due to a failure it's not too bad to launch one
    //  container prematurely.
    if (jobEntry.getValue().get() > 0) {
      continue;
    }

    int numberSpeculationsAlready = 0;
    int numberRunningTasks = 0;

    // loop through the tasks of the kind
    Job job = context.getJob(jobEntry.getKey());

    Map<TaskId, Task> tasks = job.getTasks(type);

    int numberAllowedSpeculativeTasks
        = (int) Math.max(minimumAllowedSpeculativeTasks,
            proportionTotalTasksSpeculatable * tasks.size());

    TaskId bestTaskID = null;
    long bestSpeculationValue = -1L;

    // this loop is potentially pricey.
    // TODO track the tasks that are potentially worth looking at
    for (Map.Entry<TaskId, Task> taskEntry : tasks.entrySet()) {
      long mySpeculationValue = speculationValue(taskEntry.getKey(), now);

      if (mySpeculationValue == ALREADY_SPECULATING) {
        ++numberSpeculationsAlready;
      }

      if (mySpeculationValue != NOT_RUNNING) {
        ++numberRunningTasks;
      }

      if (mySpeculationValue > bestSpeculationValue) {
        bestTaskID = taskEntry.getKey();
        bestSpeculationValue = mySpeculationValue;
      }
    }
    numberAllowedSpeculativeTasks
        = (int) Math.max(numberAllowedSpeculativeTasks,
            proportionRunningTasksSpeculatable * numberRunningTasks);

    // If we found a speculation target, fire it off
    if (bestTaskID != null
        && numberAllowedSpeculativeTasks > numberSpeculationsAlready) {
      addSpeculativeAttempt(bestTaskID);
      ++successes;
    }
  }

  return successes;
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Test
public void testKillTask() throws Exception {
  final CountDownLatch latch = new CountDownLatch(1);
  MRApp app = new BlockingMRApp(2, 0, latch);
  //this will start the job but job won't complete as Task is blocked
  Job job = app.submit(new Configuration());
  
  //wait and vailidate for Job to become RUNNING
  app.waitForState(job, JobState.RUNNING);
  Map<TaskId,Task> tasks = job.getTasks();
  Assert.assertEquals("No of tasks is not correct", 2, 
      tasks.size());
  Iterator<Task> it = tasks.values().iterator();
  Task task1 = it.next();
  Task task2 = it.next();
  
  //send the kill signal to the first Task
  app.getContext().getEventHandler().handle(
        new TaskEvent(task1.getID(), TaskEventType.T_KILL));
  
  //unblock Task
  latch.countDown();
  
  //wait and validate for Job to become SUCCEEDED
  app.waitForState(job, JobState.SUCCEEDED);
  
  //first Task is killed and second is Succeeded
  //Job is succeeded
  
  Assert.assertEquals("Task state not correct", TaskState.KILLED, 
      task1.getReport().getTaskState());
  Assert.assertEquals("Task state not correct", TaskState.SUCCEEDED, 
      task2.getReport().getTaskState());
  Map<TaskAttemptId, TaskAttempt> attempts = task1.getAttempts();
  Assert.assertEquals("No of attempts is not correct", 1, 
      attempts.size());
  Iterator<TaskAttempt> iter = attempts.values().iterator();
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.KILLED, 
        iter.next().getReport().getTaskAttemptState());

  attempts = task2.getAttempts();
  Assert.assertEquals("No of attempts is not correct", 1, 
      attempts.size());
  iter = attempts.values().iterator();
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.SUCCEEDED, 
        iter.next().getReport().getTaskAttemptState());
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Test
public void testKillTaskAttempt() throws Exception {
  final CountDownLatch latch = new CountDownLatch(1);
  MRApp app = new BlockingMRApp(2, 0, latch);
  //this will start the job but job won't complete as Task is blocked
  Job job = app.submit(new Configuration());
  
  //wait and vailidate for Job to become RUNNING
  app.waitForState(job, JobState.RUNNING);
  Map<TaskId,Task> tasks = job.getTasks();
  Assert.assertEquals("No of tasks is not correct", 2, 
      tasks.size());
  Iterator<Task> it = tasks.values().iterator();
  Task task1 = it.next();
  Task task2 = it.next();
  
  //wait for tasks to become running
  app.waitForState(task1, TaskState.SCHEDULED);
  app.waitForState(task2, TaskState.SCHEDULED);
  
  //send the kill signal to the first Task's attempt
  TaskAttempt attempt = task1.getAttempts().values().iterator().next();
  app.getContext().getEventHandler().handle(
        new TaskAttemptEvent(attempt.getID(), TaskAttemptEventType.TA_KILL));
  
  //unblock
  latch.countDown();
  
  //wait and validate for Job to become SUCCEEDED
  //job will still succeed
  app.waitForState(job, JobState.SUCCEEDED);
  
  //first Task will have two attempts 1st is killed, 2nd Succeeds
  //both Tasks and Job succeeds
  Assert.assertEquals("Task state not correct", TaskState.SUCCEEDED, 
      task1.getReport().getTaskState());
  Assert.assertEquals("Task state not correct", TaskState.SUCCEEDED, 
      task2.getReport().getTaskState());
 
  Map<TaskAttemptId, TaskAttempt> attempts = task1.getAttempts();
  Assert.assertEquals("No of attempts is not correct", 2, 
      attempts.size());
  Iterator<TaskAttempt> iter = attempts.values().iterator();
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.KILLED, 
        iter.next().getReport().getTaskAttemptState());
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.SUCCEEDED, 
      iter.next().getReport().getTaskAttemptState());
  
  attempts = task2.getAttempts();
  Assert.assertEquals("No of attempts is not correct", 1, 
      attempts.size());
  iter = attempts.values().iterator();
  Assert.assertEquals("Attempt state not correct", TaskAttemptState.SUCCEEDED, 
        iter.next().getReport().getTaskAttemptState());
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
public void verifyMillisCounters(int mapMemMb, int reduceMemMb,
    int minContainerSize) throws Exception {
  Clock actualClock = new SystemClock();
  ControlledClock clock = new ControlledClock(actualClock);
  clock.setTime(10);
  MRApp app =
      new MRApp(1, 1, false, "testSlotMillisCounterUpdate", true, clock);
  Configuration conf = new Configuration();
  conf.setInt(MRJobConfig.MAP_MEMORY_MB, mapMemMb);
  conf.setInt(MRJobConfig.REDUCE_MEMORY_MB, reduceMemMb);
  conf.setInt(YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB, 
    minContainerSize);
  app.setClusterInfo(new ClusterInfo(Resource.newInstance(10240, 1, 0)));

  Job job = app.submit(conf);
  app.waitForState(job, JobState.RUNNING);
  Map<TaskId, Task> tasks = job.getTasks();
  Assert.assertEquals("Num tasks is not correct", 2, tasks.size());
  Iterator<Task> taskIter = tasks.values().iterator();
  Task mTask = taskIter.next();
  app.waitForState(mTask, TaskState.RUNNING);
  Task rTask = taskIter.next();
  app.waitForState(rTask, TaskState.RUNNING);
  Map<TaskAttemptId, TaskAttempt> mAttempts = mTask.getAttempts();
  Assert.assertEquals("Num attempts is not correct", 1, mAttempts.size());
  Map<TaskAttemptId, TaskAttempt> rAttempts = rTask.getAttempts();
  Assert.assertEquals("Num attempts is not correct", 1, rAttempts.size());
  TaskAttempt mta = mAttempts.values().iterator().next();
  TaskAttempt rta = rAttempts.values().iterator().next();
  app.waitForState(mta, TaskAttemptState.RUNNING);
  app.waitForState(rta, TaskAttemptState.RUNNING);

  clock.setTime(11);
  app.getContext()
      .getEventHandler()
      .handle(new TaskAttemptEvent(mta.getID(), TaskAttemptEventType.TA_DONE));
  app.getContext()
      .getEventHandler()
      .handle(new TaskAttemptEvent(rta.getID(), TaskAttemptEventType.TA_DONE));
  app.waitForState(job, JobState.SUCCEEDED);
  Assert.assertEquals(mta.getFinishTime(), 11);
  Assert.assertEquals(mta.getLaunchTime(), 10);
  Assert.assertEquals(rta.getFinishTime(), 11);
  Assert.assertEquals(rta.getLaunchTime(), 10);
  Counters counters = job.getAllCounters();
  Assert.assertEquals((int) Math.ceil((float) mapMemMb / minContainerSize),
      counters.findCounter(JobCounter.SLOTS_MILLIS_MAPS).getValue());
  Assert.assertEquals((int) Math.ceil((float) reduceMemMb / minContainerSize),
      counters.findCounter(JobCounter.SLOTS_MILLIS_REDUCES).getValue());
  Assert.assertEquals(1,
      counters.findCounter(JobCounter.MILLIS_MAPS).getValue());
  Assert.assertEquals(1,
      counters.findCounter(JobCounter.MILLIS_REDUCES).getValue());
  Assert.assertEquals(mapMemMb,
      counters.findCounter(JobCounter.MB_MILLIS_MAPS).getValue());
  Assert.assertEquals(reduceMemMb,
      counters.findCounter(JobCounter.MB_MILLIS_REDUCES).getValue());
  Assert.assertEquals(1,
      counters.findCounter(JobCounter.VCORES_MILLIS_MAPS).getValue());
  Assert.assertEquals(1,
      counters.findCounter(JobCounter.VCORES_MILLIS_REDUCES).getValue());
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Test(timeout = 15000)
public void testSlowNM() throws Exception {

  conf = new Configuration();
  int maxAttempts = 1;
  conf.setInt(MRJobConfig.MAP_MAX_ATTEMPTS, maxAttempts);
  conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
  // set timeout low for the test
  conf.setInt("yarn.rpc.nm-command-timeout", 3000);
  conf.set(YarnConfiguration.IPC_RPC_IMPL, HadoopYarnProtoRPC.class.getName());
  YarnRPC rpc = YarnRPC.create(conf);
  String bindAddr = "localhost:0";
  InetSocketAddress addr = NetUtils.createSocketAddr(bindAddr);
  NMTokenSecretManagerInNM tokenSecretManager =
      new NMTokenSecretManagerInNM();
  MasterKey masterKey = Records.newRecord(MasterKey.class);
  masterKey.setBytes(ByteBuffer.wrap("key".getBytes()));
  tokenSecretManager.setMasterKey(masterKey);
  conf.set(CommonConfigurationKeysPublic.HADOOP_SECURITY_AUTHENTICATION,
    "token");
  server =
      rpc.getServer(ContainerManagementProtocol.class,
        new DummyContainerManager(), addr, conf, tokenSecretManager, 1);
  server.start();

  MRApp app = new MRAppWithSlowNM(tokenSecretManager);

  try {
  Job job = app.submit(conf);
  app.waitForState(job, JobState.RUNNING);

  Map<TaskId, Task> tasks = job.getTasks();
  Assert.assertEquals("Num tasks is not correct", 1, tasks.size());

  Task task = tasks.values().iterator().next();
  app.waitForState(task, TaskState.SCHEDULED);

  Map<TaskAttemptId, TaskAttempt> attempts = tasks.values().iterator()
      .next().getAttempts();
    Assert.assertEquals("Num attempts is not correct", maxAttempts,
        attempts.size());

  TaskAttempt attempt = attempts.values().iterator().next();
    app.waitForInternalState((TaskAttemptImpl) attempt,
        TaskAttemptStateInternal.ASSIGNED);

  app.waitForState(job, JobState.FAILED);

  String diagnostics = attempt.getDiagnostics().toString();
  LOG.info("attempt.getDiagnostics: " + diagnostics);

    Assert.assertTrue(diagnostics.contains("Container launch failed for "
        + "container_0_0000_01_000000 : "));
    Assert
        .assertTrue(diagnostics
            .contains("java.net.SocketTimeoutException: 3000 millis timeout while waiting for channel"));

  } finally {
    server.stop();
  app.stop();
}
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
/**
 * Go through a job and update the member variables with counts for
 * information to output in the page.
 *
 * @param job
 *          the job to get counts for.
 */
private void countTasksAndAttempts(Job job) {
  numReduces = 0;
  numMaps = 0;
  final Map<TaskId, Task> tasks = job.getTasks();
  if (tasks == null) {
    return;
  }
  for (Task task : tasks.values()) {
    // Attempts counts
    Map<TaskAttemptId, TaskAttempt> attempts = task.getAttempts();
    int successful, failed, killed;
    for (TaskAttempt attempt : attempts.values()) {

      successful = 0;
      failed = 0;
      killed = 0;
      if (TaskAttemptStateUI.NEW.correspondsTo(attempt.getState())) {
        // Do Nothing
      } else if (TaskAttemptStateUI.RUNNING.correspondsTo(attempt.getState())) {
        // Do Nothing
      } else if (TaskAttemptStateUI.SUCCESSFUL.correspondsTo(attempt
          .getState())) {
        ++successful;
      } else if (TaskAttemptStateUI.FAILED.correspondsTo(attempt.getState())) {
        ++failed;
      } else if (TaskAttemptStateUI.KILLED.correspondsTo(attempt.getState())) {
        ++killed;
      }

      switch (task.getType()) {
      case MAP:
        successfulMapAttempts += successful;
        failedMapAttempts += failed;
        killedMapAttempts += killed;
        if (attempt.getState() == TaskAttemptState.SUCCEEDED) {
          numMaps++;
          avgMapTime += (attempt.getFinishTime() - attempt.getLaunchTime());
        }
        break;
      case REDUCE:
        successfulReduceAttempts += successful;
        failedReduceAttempts += failed;
        killedReduceAttempts += killed;
        if (attempt.getState() == TaskAttemptState.SUCCEEDED) {
          numReduces++;
          avgShuffleTime += (attempt.getShuffleFinishTime() - attempt
              .getLaunchTime());
          avgMergeTime += attempt.getSortFinishTime()
              - attempt.getShuffleFinishTime();
          avgReduceTime += (attempt.getFinishTime() - attempt
              .getSortFinishTime());
        }
        break;
      }
    }
  }

  if (numMaps > 0) {
    avgMapTime = avgMapTime / numMaps;
  }

  if (numReduces > 0) {
    avgReduceTime = avgReduceTime / numReduces;
    avgShuffleTime = avgShuffleTime / numReduces;
    avgMergeTime = avgMergeTime / numReduces;
  }
}
 

import org.apache.hadoop.mapreduce.v2.app.job.Job; //导入方法依赖的package包/类
@Test
public void testHistoryEvents() throws Exception {
  Configuration conf = new Configuration();
  MRApp app = new MRAppWithHistory(2, 1, true, this.getClass().getName(), true);
  app.submit(conf);
  Job job = app.getContext().getAllJobs().values().iterator().next();
  JobId jobId = job.getID();
  LOG.info("JOBID is " + TypeConverter.fromYarn(jobId).toString());
  app.waitForState(job, JobState.SUCCEEDED);
  
  //make sure all events are flushed 
  app.waitForState(Service.STATE.STOPPED);
  /*
   * Use HistoryContext to read logged events and verify the number of 
   * completed maps 
  */
  HistoryContext context = new JobHistory();
  // test start and stop states
  ((JobHistory)context).init(conf);
  ((JobHistory)context).start();
  Assert.assertTrue( context.getStartTime()>0);
  Assert.assertEquals(((JobHistory)context).getServiceState(),Service.STATE.STARTED);

  // get job before stopping JobHistory
  Job parsedJob = context.getJob(jobId);

  // stop JobHistory
  ((JobHistory)context).stop();
  Assert.assertEquals(((JobHistory)context).getServiceState(),Service.STATE.STOPPED);


  Assert.assertEquals("CompletedMaps not correct", 2,
      parsedJob.getCompletedMaps());
  Assert.assertEquals(System.getProperty("user.name"), parsedJob.getUserName());
  
  Map<TaskId, Task> tasks = parsedJob.getTasks();
  Assert.assertEquals("No of tasks not correct", 3, tasks.size());
  for (Task task : tasks.values()) {
    verifyTask(task);
  }
  
  Map<TaskId, Task> maps = parsedJob.getTasks(TaskType.MAP);
  Assert.assertEquals("No of maps not correct", 2, maps.size());
  
  Map<TaskId, Task> reduces = parsedJob.getTasks(TaskType.REDUCE);
  Assert.assertEquals("No of reduces not correct", 1, reduces.size());
  
  
  Assert.assertEquals("CompletedReduce not correct", 1,
      parsedJob.getCompletedReduces());
  
  Assert.assertEquals("Job state not currect", JobState.SUCCEEDED,
      parsedJob.getState());
}