本文整理汇总了Java中org.apache.hadoop.mapreduce.v2.app.job.TaskAttempt.getShuffleFinishTime方法的典型用法代码示例。如果您正苦于以下问题:Java TaskAttempt.getShuffleFinishTime方法的具体用法?Java TaskAttempt.getShuffleFinishTime怎么用?Java TaskAttempt.getShuffleFinishTime使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类org.apache.hadoop.mapreduce.v2.app.job.TaskAttempt
的用法示例。
在下文中一共展示了TaskAttempt.getShuffleFinishTime方法的2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,您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: ReduceTaskAttemptInfo
import org.apache.hadoop.mapreduce.v2.app.job.TaskAttempt; //导入方法依赖的package包/类
public ReduceTaskAttemptInfo(TaskAttempt ta, TaskType type) {
super(ta, type, false);
this.shuffleFinishTime = ta.getShuffleFinishTime();
this.mergeFinishTime = ta.getSortFinishTime();
this.elapsedShuffleTime = Times.elapsed(this.startTime,
this.shuffleFinishTime, false);
if (this.elapsedShuffleTime == -1) {
this.elapsedShuffleTime = 0;
}
this.elapsedMergeTime = Times.elapsed(this.shuffleFinishTime,
this.mergeFinishTime, false);
if (this.elapsedMergeTime == -1) {
this.elapsedMergeTime = 0;
}
this.elapsedReduceTime = Times.elapsed(this.mergeFinishTime,
this.finishTime, false);
if (this.elapsedReduceTime == -1) {
this.elapsedReduceTime = 0;
}
}
示例2: countTasksAndAttempts
import org.apache.hadoop.mapreduce.v2.app.job.TaskAttempt; //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;
}
}