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Java JobTaskAttemptFetchFailureEvent类代码示例

原作者: [db:作者] 来自: [db:来源] 收藏 邀请

本文整理汇总了Java中org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent的典型用法代码示例。如果您正苦于以下问题:Java JobTaskAttemptFetchFailureEvent类的具体用法?Java JobTaskAttemptFetchFailureEvent怎么用?Java JobTaskAttemptFetchFailureEvent使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。



JobTaskAttemptFetchFailureEvent类属于org.apache.hadoop.mapreduce.v2.app.job.event包,在下文中一共展示了JobTaskAttemptFetchFailureEvent类的8个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于我们的系统推荐出更棒的Java代码示例。

示例1: transition

import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent; //导入依赖的package包/类
@SuppressWarnings("unchecked")
@Override
public void transition(TaskAttemptImpl taskAttempt, 
    TaskAttemptEvent event) {
  // Status update calls don't really change the state of the attempt.
  TaskAttemptStatus newReportedStatus =
      ((TaskAttemptStatusUpdateEvent) event)
          .getReportedTaskAttemptStatus();
  // Now switch the information in the reportedStatus
  taskAttempt.reportedStatus = newReportedStatus;
  taskAttempt.reportedStatus.taskState = taskAttempt.getState();

  // send event to speculator about the reported status
  taskAttempt.eventHandler.handle
      (new SpeculatorEvent
          (taskAttempt.reportedStatus, taskAttempt.clock.getTime()));
  
  taskAttempt.updateProgressSplits();
  
  //if fetch failures are present, send the fetch failure event to job
  //this only will happen in reduce attempt type
  if (taskAttempt.reportedStatus.fetchFailedMaps != null && 
      taskAttempt.reportedStatus.fetchFailedMaps.size() > 0) {
    taskAttempt.eventHandler.handle(new JobTaskAttemptFetchFailureEvent(
        taskAttempt.attemptId, taskAttempt.reportedStatus.fetchFailedMaps));
  }
}
 
开发者ID:naver,项目名称:hadoop,代码行数:28,代码来源:TaskAttemptImpl.java


示例2: transition

import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent; //导入依赖的package包/类
@Override
public void transition(JobImpl job, JobEvent event) {
  //get number of shuffling reduces
  int shufflingReduceTasks = 0;
  for (TaskId taskId : job.reduceTasks) {
    Task task = job.tasks.get(taskId);
    if (TaskState.RUNNING.equals(task.getState())) {
      for(TaskAttempt attempt : task.getAttempts().values()) {
        if(attempt.getPhase() == Phase.SHUFFLE) {
          shufflingReduceTasks++;
          break;
        }
      }
    }
  }

  JobTaskAttemptFetchFailureEvent fetchfailureEvent = 
    (JobTaskAttemptFetchFailureEvent) event;
  for (org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId mapId : 
        fetchfailureEvent.getMaps()) {
    Integer fetchFailures = job.fetchFailuresMapping.get(mapId);
    fetchFailures = (fetchFailures == null) ? 1 : (fetchFailures+1);
    job.fetchFailuresMapping.put(mapId, fetchFailures);
    
    float failureRate = shufflingReduceTasks == 0 ? 1.0f : 
      (float) fetchFailures / shufflingReduceTasks;
    // declare faulty if fetch-failures >= max-allowed-failures
    if (fetchFailures >= job.getMaxFetchFailuresNotifications()
        && failureRate >= job.getMaxAllowedFetchFailuresFraction()) {
      LOG.info("Too many fetch-failures for output of task attempt: " + 
          mapId + " ... raising fetch failure to map");
      job.eventHandler.handle(new TaskAttemptEvent(mapId, 
          TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
      job.fetchFailuresMapping.remove(mapId);
    }
  }
}
 
开发者ID:naver,项目名称:hadoop,代码行数:38,代码来源:JobImpl.java


示例3: sendFetchFailure

import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent; //导入依赖的package包/类
private void sendFetchFailure(MRApp app, TaskAttempt reduceAttempt, 
    TaskAttempt mapAttempt) {
  app.getContext().getEventHandler().handle(
      new JobTaskAttemptFetchFailureEvent(
          reduceAttempt.getID(), 
          Arrays.asList(new TaskAttemptId[] {mapAttempt.getID()})));
}
 
开发者ID:naver,项目名称:hadoop,代码行数:8,代码来源:TestFetchFailure.java


示例4: transition

import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent; //导入依赖的package包/类
@SuppressWarnings("unchecked")
@Override
public void transition(TaskAttemptImpl taskAttempt, 
    TaskAttemptEvent event) {
  // Status update calls don't really change the state of the attempt.
  TaskAttemptStatus newReportedStatus =
      ((TaskAttemptStatusUpdateEvent) event)
          .getReportedTaskAttemptStatus();
  // Now switch the information in the reportedStatus
  taskAttempt.reportedStatus = newReportedStatus;
  taskAttempt.reportedStatus.taskState = taskAttempt.getState();

  // send event to speculator about the reported status
  taskAttempt.eventHandler.handle
      (new SpeculatorEvent
          (taskAttempt.reportedStatus, taskAttempt.clock.getTime()));
  
  taskAttempt.updateProgressSplits();
  
  //if fetch failures are present, send the fetch failure event to job
  //this only will happen in reduce attempt type
  if (taskAttempt.reportedStatus.fetchFailedMaps != null && 
      taskAttempt.reportedStatus.fetchFailedMaps.size() > 0) {
    String hostname = taskAttempt.container == null ? "UNKNOWN"
        : taskAttempt.container.getNodeId().getHost();
    taskAttempt.eventHandler.handle(new JobTaskAttemptFetchFailureEvent(
        taskAttempt.attemptId, taskAttempt.reportedStatus.fetchFailedMaps,
            hostname));
  }
}
 
开发者ID:aliyun-beta,项目名称:aliyun-oss-hadoop-fs,代码行数:31,代码来源:TaskAttemptImpl.java


示例5: transition

import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent; //导入依赖的package包/类
@Override
public void transition(JobImpl job, JobEvent event) {
  //get number of shuffling reduces
  int shufflingReduceTasks = 0;
  for (TaskId taskId : job.reduceTasks) {
    Task task = job.tasks.get(taskId);
    if (TaskState.RUNNING.equals(task.getState())) {
      for(TaskAttempt attempt : task.getAttempts().values()) {
        if(attempt.getPhase() == Phase.SHUFFLE) {
          shufflingReduceTasks++;
          break;
        }
      }
    }
  }

  JobTaskAttemptFetchFailureEvent fetchfailureEvent = 
    (JobTaskAttemptFetchFailureEvent) event;
  for (org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId mapId : 
        fetchfailureEvent.getMaps()) {
    Integer fetchFailures = job.fetchFailuresMapping.get(mapId);
    fetchFailures = (fetchFailures == null) ? 1 : (fetchFailures+1);
    job.fetchFailuresMapping.put(mapId, fetchFailures);
    
    float failureRate = shufflingReduceTasks == 0 ? 1.0f : 
      (float) fetchFailures / shufflingReduceTasks;
    // declare faulty if fetch-failures >= max-allowed-failures
    if (fetchFailures >= job.getMaxFetchFailuresNotifications()
        && failureRate >= job.getMaxAllowedFetchFailuresFraction()) {
      LOG.info("Too many fetch-failures for output of task attempt: " + 
          mapId + " ... raising fetch failure to map");
      job.eventHandler.handle(new TaskAttemptTooManyFetchFailureEvent(mapId,
          fetchfailureEvent.getReduce(), fetchfailureEvent.getHost()));
      job.fetchFailuresMapping.remove(mapId);
    }
  }
}
 
开发者ID:aliyun-beta,项目名称:aliyun-oss-hadoop-fs,代码行数:38,代码来源:JobImpl.java


示例6: sendFetchFailure

import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent; //导入依赖的package包/类
private void sendFetchFailure(MRApp app, TaskAttempt reduceAttempt, 
    TaskAttempt mapAttempt, String hostname) {
  app.getContext().getEventHandler().handle(
      new JobTaskAttemptFetchFailureEvent(
          reduceAttempt.getID(), 
          Arrays.asList(new TaskAttemptId[] {mapAttempt.getID()}),
              hostname));
}
 
开发者ID:aliyun-beta,项目名称:aliyun-oss-hadoop-fs,代码行数:9,代码来源:TestFetchFailure.java


示例7: transition

import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent; //导入依赖的package包/类
@Override
public void transition(JobImpl job, JobEvent event) {
  //get number of shuffling reduces
  int shufflingReduceTasks = 0;
  for (TaskId taskId : job.reduceTasks) {
    Task task = job.tasks.get(taskId);
    if (TaskState.RUNNING.equals(task.getState())) {
      for(TaskAttempt attempt : task.getAttempts().values()) {
        if(attempt.getPhase() == Phase.SHUFFLE) {
          shufflingReduceTasks++;
          break;
        }
      }
    }
  }

  JobTaskAttemptFetchFailureEvent fetchfailureEvent = 
    (JobTaskAttemptFetchFailureEvent) event;
  for (org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId mapId : 
        fetchfailureEvent.getMaps()) {
    Integer fetchFailures = job.fetchFailuresMapping.get(mapId);
    fetchFailures = (fetchFailures == null) ? 1 : (fetchFailures+1);
    job.fetchFailuresMapping.put(mapId, fetchFailures);
    
    float failureRate = shufflingReduceTasks == 0 ? 1.0f : 
      (float) fetchFailures / shufflingReduceTasks;
    // declare faulty if fetch-failures >= max-allowed-failures
    boolean isMapFaulty =
        (failureRate >= MAX_ALLOWED_FETCH_FAILURES_FRACTION);
    if (fetchFailures >= MAX_FETCH_FAILURES_NOTIFICATIONS && isMapFaulty) {
      LOG.info("Too many fetch-failures for output of task attempt: " + 
          mapId + " ... raising fetch failure to map");
      job.eventHandler.handle(new TaskAttemptEvent(mapId, 
          TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
      job.fetchFailuresMapping.remove(mapId);
    }
  }
}
 
开发者ID:ict-carch,项目名称:hadoop-plus,代码行数:39,代码来源:JobImpl.java


示例8: transition

import org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent; //导入依赖的package包/类
@SuppressWarnings("unchecked")
@Override
public void transition(TaskAttemptImpl taskAttempt, 
    TaskAttemptEvent event) {
  // Status update calls don't really change the state of the attempt.
  TaskAttemptStatus newReportedStatus =
      ((TaskAttemptStatusUpdateEvent) event)
          .getReportedTaskAttemptStatus();
  // Now switch the information in the reportedStatus
  taskAttempt.reportedStatus = newReportedStatus;    
  taskAttempt.reportedStatus.taskState = taskAttempt.getState();

  // send event to speculator about the reported status
  taskAttempt.eventHandler.handle
      (new SpeculatorEvent
          (taskAttempt.reportedStatus, taskAttempt.clock.getTime()));
  
  taskAttempt.updateProgressSplits();
  
  //if fetch failures are present, send the fetch failure event to job
  //this only will happen in reduce attempt type
  if (taskAttempt.reportedStatus.fetchFailedMaps != null && 
      taskAttempt.reportedStatus.fetchFailedMaps.size() > 0) {
    taskAttempt.eventHandler.handle(new JobTaskAttemptFetchFailureEvent(
        taskAttempt.attemptId, taskAttempt.reportedStatus.fetchFailedMaps));
  }
}
 
开发者ID:yncxcw,项目名称:FlexMap,代码行数:28,代码来源:TaskAttemptImpl.java



注:本文中的org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskAttemptFetchFailureEvent类示例整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。


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