Java Counters類代碼示例

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
public JobMetrics(Job job, String bytesReplicatedKey) {
  Builder<String, Long> builder = ImmutableMap.builder();
  if (job != null) {
    Counters counters;
    try {
      counters = job.getCounters();
    } catch (IOException e) {
      throw new CircusTrainException("Unable to get counters from job.", e);
    }
    if (counters != null) {
      for (CounterGroup group : counters) {
        for (Counter counter : group) {
          builder.put(DotJoiner.join(group.getName(), counter.getName()), counter.getValue());
        }
      }
    }
  }
  metrics = builder.build();
  Long bytesReplicatedValue = metrics.get(bytesReplicatedKey);
  if (bytesReplicatedValue != null) {
    bytesReplicated = bytesReplicatedValue;
  } else {
    bytesReplicated = 0L;
  }
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
@Override
protected boolean runJob(Job job) throws ClassNotFoundException, IOException,
    InterruptedException {

  PerfCounters perfCounters = new PerfCounters();
  perfCounters.startClock();

  boolean success = doSubmitJob(job);
  perfCounters.stopClock();

  Counters jobCounters = job.getCounters();
  // If the job has been retired, these may be unavailable.
  if (null == jobCounters) {
    displayRetiredJobNotice(LOG);
  } else {
    perfCounters.addBytes(jobCounters.getGroup("FileSystemCounters")
      .findCounter("HDFS_BYTES_READ").getValue());
    LOG.info("Transferred " + perfCounters.toString());
    long numRecords =  ConfigurationHelper.getNumMapInputRecords(job);
    LOG.info("Exported " + numRecords + " records.");
  }

  return success;
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
@Override
protected boolean runJob(Job job) throws ClassNotFoundException, IOException,
    InterruptedException {

  PerfCounters perfCounters = new PerfCounters();
  perfCounters.startClock();

  boolean success = doSubmitJob(job);
  perfCounters.stopClock();

  Counters jobCounters = job.getCounters();
  // If the job has been retired, these may be unavailable.
  if (null == jobCounters) {
    displayRetiredJobNotice(LOG);
  } else {
    perfCounters.addBytes(jobCounters.getGroup("FileSystemCounters")
        .findCounter("HDFS_BYTES_READ").getValue());
    LOG.info("Transferred " + perfCounters.toString());
    long numRecords =  ConfigurationHelper.getNumMapInputRecords(job);
    LOG.info("Exported " + numRecords + " records.");
  }

  return success;
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
@Override
public Counters getAllCounters() {

  readLock.lock();

  try {
    JobStateInternal state = getInternalState();
    if (state == JobStateInternal.ERROR || state == JobStateInternal.FAILED
        || state == JobStateInternal.KILLED || state == JobStateInternal.SUCCEEDED) {
      this.mayBeConstructFinalFullCounters();
      return fullCounters;
    }

    Counters counters = new Counters();
    counters.incrAllCounters(jobCounters);
    return incrTaskCounters(counters, tasks.values());

  } finally {
    readLock.unlock();
  }
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
@Private
public void constructFinalFullcounters() {
  this.fullCounters = new Counters();
  this.finalMapCounters = new Counters();
  this.finalReduceCounters = new Counters();
  this.fullCounters.incrAllCounters(jobCounters);
  for (Task t : this.tasks.values()) {
    Counters counters = t.getCounters();
    switch (t.getType()) {
    case MAP:
      this.finalMapCounters.incrAllCounters(counters);
      break;
    case REDUCE:
      this.finalReduceCounters.incrAllCounters(counters);
      break;
    default:
      throw new IllegalStateException("Task type neither map nor reduce: " + 
          t.getType());
    }
    this.fullCounters.incrAllCounters(counters);
  }
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
@Override
  public Counters getCounters() {
    Counters counters = null;
    readLock.lock();
    try {
      TaskAttempt bestAttempt = selectBestAttempt();
      if (bestAttempt != null) {
        counters = bestAttempt.getCounters();
      } else {
        counters = TaskAttemptImpl.EMPTY_COUNTERS;
//        counters.groups = new HashMap<CharSequence, CounterGroup>();
      }
      return counters;
    } finally {
      readLock.unlock();
    }
  }
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
@Private
public JsonNode countersToJSON(Counters counters) {
  ObjectMapper mapper = new ObjectMapper();
  ArrayNode nodes = mapper.createArrayNode();
  if (counters != null) {
    for (CounterGroup counterGroup : counters) {
      ObjectNode groupNode = nodes.addObject();
      groupNode.put("NAME", counterGroup.getName());
      groupNode.put("DISPLAY_NAME", counterGroup.getDisplayName());
      ArrayNode countersNode = groupNode.putArray("COUNTERS");
      for (Counter counter : counterGroup) {
        ObjectNode counterNode = countersNode.addObject();
        counterNode.put("NAME", counter.getName());
        counterNode.put("DISPLAY_NAME", counter.getDisplayName());
        counterNode.put("VALUE", counter.getValue());
      }
    }
  }
  return nodes;
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
private void updateStatus(MRApp app, TaskAttempt attempt, Phase phase) {
  TaskAttemptStatusUpdateEvent.TaskAttemptStatus status = new TaskAttemptStatusUpdateEvent.TaskAttemptStatus();
  status.counters = new Counters();
  status.fetchFailedMaps = new ArrayList<TaskAttemptId>();
  status.id = attempt.getID();
  status.mapFinishTime = 0;
  status.phase = phase;
  status.progress = 0.5f;
  status.shuffleFinishTime = 0;
  status.sortFinishTime = 0;
  status.stateString = "OK";
  status.taskState = attempt.getState();
  TaskAttemptStatusUpdateEvent event = new TaskAttemptStatusUpdateEvent(attempt.getID(),
      status);
  app.getContext().getEventHandler().handle(event);
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
/**
 * test a getters of TaskAttemptFinishedEvent and TaskAttemptFinished
 * 
 * @throws Exception
 */
@Test(timeout = 10000)
public void testTaskAttemptFinishedEvent() throws Exception {

  JobID jid = new JobID("001", 1);
  TaskID tid = new TaskID(jid, TaskType.REDUCE, 2);
  TaskAttemptID taskAttemptId = new TaskAttemptID(tid, 3);
  Counters counters = new Counters();
  TaskAttemptFinishedEvent test = new TaskAttemptFinishedEvent(taskAttemptId,
      TaskType.REDUCE, "TEST", 123L, "RAKNAME", "HOSTNAME", "STATUS",
      counters);
  assertEquals(test.getAttemptId().toString(), taskAttemptId.toString());

  assertEquals(test.getCounters(), counters);
  assertEquals(test.getFinishTime(), 123L);
  assertEquals(test.getHostname(), "HOSTNAME");
  assertEquals(test.getRackName(), "RAKNAME");
  assertEquals(test.getState(), "STATUS");
  assertEquals(test.getTaskId(), tid);
  assertEquals(test.getTaskStatus(), "TEST");
  assertEquals(test.getTaskType(), TaskType.REDUCE);

}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
protected void verifySleepJobCounters(Job job) throws InterruptedException,
    IOException {
  Counters counters = job.getCounters();
  Assert.assertEquals(3, counters.findCounter(JobCounter.OTHER_LOCAL_MAPS)
      .getValue());
  Assert.assertEquals(3, counters.findCounter(JobCounter.TOTAL_LAUNCHED_MAPS)
      .getValue());
  Assert.assertEquals(numSleepReducers,
      counters.findCounter(JobCounter.TOTAL_LAUNCHED_REDUCES).getValue());
  Assert
      .assertTrue(counters.findCounter(JobCounter.SLOTS_MILLIS_MAPS) != null
          && counters.findCounter(JobCounter.SLOTS_MILLIS_MAPS).getValue() != 0);
  Assert
      .assertTrue(counters.findCounter(JobCounter.SLOTS_MILLIS_MAPS) != null
          && counters.findCounter(JobCounter.SLOTS_MILLIS_MAPS).getValue() != 0);
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
/**
 * Create an event to record completion of a reduce attempt
 * @param id Attempt Id
 * @param taskType Type of task
 * @param taskStatus Status of the task
 * @param shuffleFinishTime Finish time of the shuffle phase
 * @param sortFinishTime Finish time of the sort phase
 * @param finishTime Finish time of the attempt
 * @param hostname Name of the host where the attempt executed
 * @param port RPC port for the tracker host.
 * @param rackName Name of the rack where the attempt executed
 * @param state State of the attempt
 * @param counters Counters for the attempt
 * @param allSplits the "splits", or a pixelated graph of various
 *        measurable worker node state variables against progress.
 *        Currently there are four; wallclock time, CPU time,
 *        virtual memory and physical memory.  
 */
public ReduceAttemptFinishedEvent
  (TaskAttemptID id, TaskType taskType, String taskStatus, 
   long shuffleFinishTime, long sortFinishTime, long finishTime,
   String hostname, int port,  String rackName, String state, 
   Counters counters, int[][] allSplits) {
  this.attemptId = id;
  this.taskType = taskType;
  this.taskStatus = taskStatus;
  this.shuffleFinishTime = shuffleFinishTime;
  this.sortFinishTime = sortFinishTime;
  this.finishTime = finishTime;
  this.hostname = hostname;
  this.rackName = rackName;
  this.port = port;
  this.state = state;
  this.counters = counters;
  this.allSplits = allSplits;
  this.clockSplits = ProgressSplitsBlock.arrayGetWallclockTime(allSplits);
  this.cpuUsages = ProgressSplitsBlock.arrayGetCPUTime(allSplits);
  this.gpuUsages = ProgressSplitsBlock.arrayGetGPUTime(allSplits);
  this.vMemKbytes = ProgressSplitsBlock.arrayGetVMemKbytes(allSplits);
  this.physMemKbytes = ProgressSplitsBlock.arrayGetPhysMemKbytes(allSplits);
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
static JhCounters toAvro(Counters counters, String name) {
  JhCounters result = new JhCounters();
  result.name = new Utf8(name);
  result.groups = new ArrayList<JhCounterGroup>(0);
  if (counters == null) return result;
  for (CounterGroup group : counters) {
    JhCounterGroup g = new JhCounterGroup();
    g.name = new Utf8(group.getName());
    g.displayName = new Utf8(group.getDisplayName());
    g.counts = new ArrayList<JhCounter>(group.size());
    for (Counter counter : group) {
      JhCounter c = new JhCounter();
      c.name = new Utf8(counter.getName());
      c.displayName = new Utf8(counter.getDisplayName());
      c.value = counter.getValue();
      g.counts.add(c);
    }
    result.groups.add(g);
  }
  return result;
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
/** 
 * Create an event to record successful job completion
 * @param id Job ID
 * @param finishTime Finish time of the job
 * @param finishedMaps The number of finished maps
 * @param finishedReduces The number of finished reduces
 * @param failedMaps The number of failed maps
 * @param failedReduces The number of failed reduces
 * @param mapCounters Map Counters for the job
 * @param reduceCounters Reduce Counters for the job
 * @param totalCounters Total Counters for the job
 */
public JobFinishedEvent(JobID id, long finishTime,
    int finishedMaps, int finishedReduces,
    int failedMaps, int failedReduces,
    Counters mapCounters, Counters reduceCounters,
    Counters totalCounters) {
  this.jobId = id;
  this.finishTime = finishTime;
  this.finishedMaps = finishedMaps;
  this.finishedReduces = finishedReduces;
  this.failedMaps = failedMaps;
  this.failedReduces = failedReduces;
  this.mapCounters = mapCounters;
  this.reduceCounters = reduceCounters;
  this.totalCounters = totalCounters;
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
/** 
 * Create an event for successful completion of map attempts
 * @param id Task Attempt ID
 * @param taskType Type of the task
 * @param taskStatus Status of the task
 * @param mapFinishTime Finish time of the map phase
 * @param finishTime Finish time of the attempt
 * @param hostname Name of the host where the map executed
 * @param port RPC port for the tracker host.
 * @param rackName Name of the rack where the map executed
 * @param state State string for the attempt
 * @param counters Counters for the attempt
 * @param allSplits the "splits", or a pixelated graph of various
 *        measurable worker node state variables against progress.
 *        Currently there are four; wallclock time, CPU time,
 *        virtual memory and physical memory. 
 *
 *        If you have no splits data, code {@code null} for this
 *        parameter. 
 */
public MapAttemptFinishedEvent
    (TaskAttemptID id, TaskType taskType, String taskStatus, 
     long mapFinishTime, long finishTime, String hostname, int port, 
     String rackName, String state, Counters counters, int[][] allSplits) {
  this.attemptId = id;
  this.taskType = taskType;
  this.taskStatus = taskStatus;
  this.mapFinishTime = mapFinishTime;
  this.finishTime = finishTime;
  this.hostname = hostname;
  this.rackName = rackName;
  this.port = port;
  this.state = state;
  this.counters = counters;
  this.allSplits = allSplits;
  this.clockSplits = ProgressSplitsBlock.arrayGetWallclockTime(allSplits);
  this.cpuUsages = ProgressSplitsBlock.arrayGetCPUTime(allSplits);
  this.gpuUsages = ProgressSplitsBlock.arrayGetGPUTime(allSplits);
  this.vMemKbytes = ProgressSplitsBlock.arrayGetVMemKbytes(allSplits);
  this.physMemKbytes = ProgressSplitsBlock.arrayGetPhysMemKbytes(allSplits);
}
 

import org.apache.hadoop.mapreduce.Counters; //導入依賴的package包/類
private void constructTaskReport() {
  loadAllTaskAttempts();
  this.report = Records.newRecord(TaskReport.class);
  report.setTaskId(taskId);
  long minLaunchTime = Long.MAX_VALUE;
  for(TaskAttempt attempt: attempts.values()) {
    minLaunchTime = Math.min(minLaunchTime, attempt.getLaunchTime());
  }
  minLaunchTime = minLaunchTime == Long.MAX_VALUE ? -1 : minLaunchTime;
  report.setStartTime(minLaunchTime);
  report.setFinishTime(taskInfo.getFinishTime());
  report.setTaskState(getState());
  report.setProgress(getProgress());
  Counters counters = getCounters();
  if (counters == null) {
    counters = EMPTY_COUNTERS;
  }
  report.setCounters(TypeConverter.toYarn(counters));
  if (successfulAttempt != null) {
    report.setSuccessfulAttempt(successfulAttempt);
  }
  report.addAllDiagnostics(reportDiagnostics);
  report
      .addAllRunningAttempts(new ArrayList<TaskAttemptId>(attempts.keySet()));
}