hadoop TaskAttemptUnsuccessfulCompletionEvent 源码

haddop TaskAttemptUnsuccessfulCompletionEvent 代码

文件路径：/hadoop-mapreduce-project/hadoop-mapreduce-client/hadoop-mapreduce-client-core/src/main/java/org/apache/hadoop/mapreduce/jobhistory/TaskAttemptUnsuccessfulCompletionEvent.java

/**
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

package org.apache.hadoop.mapreduce.jobhistory;

import java.util.Set;

import org.apache.avro.util.Utf8;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.mapred.ProgressSplitsBlock;
import org.apache.hadoop.mapred.TaskStatus;
import org.apache.hadoop.mapreduce.Counters;
import org.apache.hadoop.mapreduce.TaskAttemptID;
import org.apache.hadoop.mapreduce.TaskID;
import org.apache.hadoop.mapreduce.TaskType;
import org.apache.hadoop.mapreduce.util.JobHistoryEventUtils;
import org.apache.hadoop.util.StringUtils;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineEvent;
import org.apache.hadoop.yarn.api.records.timelineservice.TimelineMetric;
import org.apache.hadoop.yarn.util.SystemClock;

/**
 * Event to record unsuccessful (Killed/Failed) completion of task attempts
 *
 */
@InterfaceAudience.Private
@InterfaceStability.Unstable
public class TaskAttemptUnsuccessfulCompletionEvent implements HistoryEvent {

  private TaskAttemptUnsuccessfulCompletion datum = null;

  private TaskAttemptID attemptId;
  private TaskType taskType;
  private String status;
  private long finishTime;
  private String hostname;
  private int port;
  private String rackName;
  private String error;
  private Counters counters;
  int[][] allSplits;
  int[] clockSplits;
  int[] cpuUsages;
  int[] vMemKbytes;
  int[] physMemKbytes;
  private long startTime;
  private static final Counters EMPTY_COUNTERS = new Counters();

  /**
   * Create an event to record the unsuccessful completion of attempts.
   * @param id Attempt ID
   * @param taskType Type of the task
   * @param status Status of the attempt
   * @param finishTime Finish time of the attempt
   * @param hostname Name of the host where the attempt executed
   * @param port rpc port for for the tracker
   * @param rackName Name of the rack where the attempt executed
   * @param error Error string
   * @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.
   * @param startTs Task start time to be used for writing entity to ATSv2.
   */
  public TaskAttemptUnsuccessfulCompletionEvent
       (TaskAttemptID id, TaskType taskType,
        String status, long finishTime,
        String hostname, int port, String rackName,
        String error, Counters counters, int[][] allSplits, long startTs) {
    this.attemptId = id;
    this.taskType = taskType;
    this.status = status;
    this.finishTime = finishTime;
    this.hostname = hostname;
    this.port = port;
    this.rackName = rackName;
    this.error = error;
    this.counters = counters;
    this.allSplits = allSplits;
    this.clockSplits =
        ProgressSplitsBlock.arrayGetWallclockTime(allSplits);
    this.cpuUsages =
        ProgressSplitsBlock.arrayGetCPUTime(allSplits);
    this.vMemKbytes =
        ProgressSplitsBlock.arrayGetVMemKbytes(allSplits);
    this.physMemKbytes =
        ProgressSplitsBlock.arrayGetPhysMemKbytes(allSplits);
    this.startTime = startTs;
  }

  public TaskAttemptUnsuccessfulCompletionEvent(TaskAttemptID id,
      TaskType taskType, String status, long finishTime, String hostname,
      int port, String rackName, String error, Counters counters,
      int[][] allSplits) {
    this(id, taskType, status, finishTime, hostname, port, rackName, error,
        counters, allSplits, SystemClock.getInstance().getTime());
  }

  /**
   * @deprecated please use the constructor with an additional
   *              argument, an array of splits arrays instead.  See
   *              {@link org.apache.hadoop.mapred.ProgressSplitsBlock}
   *              for an explanation of the meaning of that parameter.
   *
   * Create an event to record the unsuccessful completion of attempts
   * @param id Attempt ID
   * @param taskType Type of the task
   * @param status Status of the attempt
   * @param finishTime Finish time of the attempt
   * @param hostname Name of the host where the attempt executed
   * @param error Error string
   */
  public TaskAttemptUnsuccessfulCompletionEvent
       (TaskAttemptID id, TaskType taskType,
        String status, long finishTime,
        String hostname, String error) {
    this(id, taskType, status, finishTime, hostname, -1, "",
        error, EMPTY_COUNTERS, null);
  }

  public TaskAttemptUnsuccessfulCompletionEvent
      (TaskAttemptID id, TaskType taskType,
       String status, long finishTime,
       String hostname, int port, String rackName,
       String error, int[][] allSplits) {
    this(id, taskType, status, finishTime, hostname, port,
        rackName, error, EMPTY_COUNTERS, allSplits);
  }

  TaskAttemptUnsuccessfulCompletionEvent() {}

  public Object getDatum() {
    if(datum == null) {
      datum = new TaskAttemptUnsuccessfulCompletion();
      datum.setTaskid(new Utf8(attemptId.getTaskID().toString()));
      datum.setTaskType(new Utf8(taskType.name()));
      datum.setAttemptId(new Utf8(attemptId.toString()));
      datum.setFinishTime(finishTime);
      datum.setHostname(new Utf8(hostname));
      if (rackName != null) {
        datum.setRackname(new Utf8(rackName));
      }
      datum.setPort(port);
      datum.setError(new Utf8(error));
      datum.setStatus(new Utf8(status));

      datum.setCounters(EventWriter.toAvro(counters));

      datum.setClockSplits(AvroArrayUtils.toAvro(ProgressSplitsBlock
          .arrayGetWallclockTime(allSplits)));
      datum.setCpuUsages(AvroArrayUtils.toAvro(ProgressSplitsBlock
          .arrayGetCPUTime(allSplits)));
      datum.setVMemKbytes(AvroArrayUtils.toAvro(ProgressSplitsBlock
          .arrayGetVMemKbytes(allSplits)));
      datum.setPhysMemKbytes(AvroArrayUtils.toAvro(ProgressSplitsBlock
          .arrayGetPhysMemKbytes(allSplits)));
    }
    return datum;
  }



  public void setDatum(Object odatum) {
    this.datum =
        (TaskAttemptUnsuccessfulCompletion)odatum;
    this.attemptId =
        TaskAttemptID.forName(datum.getAttemptId().toString());
    this.taskType =
        TaskType.valueOf(datum.getTaskType().toString());
    this.finishTime = datum.getFinishTime();
    this.hostname = datum.getHostname().toString();
    this.rackName = datum.getRackname().toString();
    this.port = datum.getPort();
    this.status = datum.getStatus().toString();
    this.error = datum.getError().toString();
    this.counters =
        EventReader.fromAvro(datum.getCounters());
    this.clockSplits =
        AvroArrayUtils.fromAvro(datum.getClockSplits());
    this.cpuUsages =
        AvroArrayUtils.fromAvro(datum.getCpuUsages());
    this.vMemKbytes =
        AvroArrayUtils.fromAvro(datum.getVMemKbytes());
    this.physMemKbytes =
        AvroArrayUtils.fromAvro(datum.getPhysMemKbytes());
  }

  /** Gets the task id. */
  public TaskID getTaskId() {
    return attemptId.getTaskID();
  }
  /** Gets the task type. */
  public TaskType getTaskType() {
    return TaskType.valueOf(taskType.toString());
  }
  /** Gets the attempt id. */
  public TaskAttemptID getTaskAttemptId() {
    return attemptId;
  }
  /** Gets the finish time. */
  public long getFinishTime() { return finishTime; }
  /**
   * Gets the task attempt start time to be used while publishing to ATSv2.
   * @return task attempt start time.
   */
  public long getStartTime() {
    return startTime;
  }
  /** Gets the name of the host where the attempt executed. */
  public String getHostname() { return hostname; }
  /** Gets the rpc port for the host where the attempt executed. */
  public int getPort() { return port; }

  /** Gets the rack name of the node where the attempt ran. */
  public String getRackName() {
    return rackName == null ? null : rackName.toString();
  }

  /** Gets the error string. */
  public String getError() { return error.toString(); }
  /**
   * Gets the task attempt status.
   * @return task attempt status.
   */
  public String getTaskStatus() {
    return status.toString();
  }
  /** Gets the counters. */
  Counters getCounters() { return counters; }
  /** Gets the event type. */
  public EventType getEventType() {
    // Note that the task type can be setup/map/reduce/cleanup but the
    // attempt-type can only be map/reduce.
    // find out if the task failed or got killed
    boolean failed = TaskStatus.State.FAILED.toString().equals(getTaskStatus());
    return getTaskId().getTaskType() == TaskType.MAP
           ? (failed
              ? EventType.MAP_ATTEMPT_FAILED
              : EventType.MAP_ATTEMPT_KILLED)
           : (failed
              ? EventType.REDUCE_ATTEMPT_FAILED
              : EventType.REDUCE_ATTEMPT_KILLED);
  }



  public int[] getClockSplits() {
    return clockSplits;
  }
  public int[] getCpuUsages() {
    return cpuUsages;
  }
  public int[] getVMemKbytes() {
    return vMemKbytes;
  }
  public int[] getPhysMemKbytes() {
    return physMemKbytes;
  }

  @Override
  public TimelineEvent toTimelineEvent() {
    TimelineEvent tEvent = new TimelineEvent();
    tEvent.setId(StringUtils.toUpperCase(getEventType().name()));
    tEvent.addInfo("TASK_TYPE", getTaskType().toString());
    tEvent.addInfo("TASK_ATTEMPT_ID", getTaskAttemptId() == null ?
        "" : getTaskAttemptId().toString());
    tEvent.addInfo("FINISH_TIME", getFinishTime());
    tEvent.addInfo("ERROR", getError());
    tEvent.addInfo("STATUS", getTaskStatus());
    tEvent.addInfo("HOSTNAME", getHostname());
    tEvent.addInfo("PORT", getPort());
    tEvent.addInfo("RACK_NAME", getRackName());
    tEvent.addInfo("SHUFFLE_FINISH_TIME", getFinishTime());
    tEvent.addInfo("SORT_FINISH_TIME", getFinishTime());
    tEvent.addInfo("MAP_FINISH_TIME", getFinishTime());
    return tEvent;
  }

  @Override
  public Set<TimelineMetric> getTimelineMetrics() {
    Set<TimelineMetric> metrics = JobHistoryEventUtils
        .countersToTimelineMetric(getCounters(), finishTime);
    return metrics;
  }
}

相关信息

hadoop 源码目录

相关文章

hadoop AMStartedEvent 源码

hadoop AvroArrayUtils 源码

hadoop EventReader 源码

hadoop EventWriter 源码

hadoop HistoryEvent 源码

hadoop HistoryEventHandler 源码

hadoop HistoryViewer 源码

hadoop HistoryViewerPrinter 源码

hadoop HumanReadableHistoryViewerPrinter 源码

hadoop JSONHistoryViewerPrinter 源码