Examples of org.apache.hadoop.mapreduce.Job.killJob()

org.apache.hadoop.mapreduce.Job.killJob()
Kill the running job. Blocks until all job tasks have been killed as well. If the job is no longer running, it simply returns. @throws IOException

      } else if (killJob) {
        Job job = cluster.getJob(JobID.forName(jobid));
        if (job == null) {
          System.out.println("Could not find job " + jobid);
        } else {
          job.killJob();
          System.out.println("Killed job " + jobid);
          exitCode = 0;
        }
      } else if (setJobPriority) {
        Job job = cluster.getJob(JobID.forName(jobid));

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      } else if (killJob) {
        Job job = cluster.getJob(JobID.forName(jobid));
        if (job == null) {
          System.out.println("Could not find job " + jobid);
        } else {
          job.killJob();
          System.out.println("Killed job " + jobid);
          exitCode = 0;
        }
      } else if (setJobPriority) {
        Job job = cluster.getJob(JobID.forName(jobid));

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    org.apache.hadoop.mapreduce.TaskID taskId =
      new org.apache.hadoop.mapreduce.TaskID(jobID, TaskType.MAP, 0);
    TaskAttemptID tId = new TaskAttemptID(taskId, 0);


    //invoke all methods to check that no exception is thrown
    job.killJob();
    job.killTask(tId);
    job.failTask(tId);
    job.getTaskCompletionEvents(0, 100);
    job.getStatus();
    job.getTaskDiagnostics(tId);

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    org.apache.hadoop.mapreduce.TaskID taskId =
      new org.apache.hadoop.mapreduce.TaskID(jobID, TaskType.MAP, 0);
    TaskAttemptID tId = new TaskAttemptID(taskId, 0);


    //invoke all methods to check that no exception is thrown
    job.killJob();
    job.killTask(tId);
    job.failTask(tId);
    job.getTaskCompletionEvents(0, 100);
    job.getStatus();
    job.getTaskDiagnostics(tId);

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                  .downgrade(info.getTaskID()));
          ttCli.getProxy().sendAction(action);
        }
      }
    }
    rJob.killJob();
    int i = 1;
    while (!rJob.isComplete()) {
      Thread.sleep(1000);
      if (i == 40) {
        Assert

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    }
    // If it comes here without a test-timeout, it means there was a task that
    // was killed because of crossing cumulative TT limit.


    // Test succeeded, kill the job.
    job.killJob();
  }
  
  /**
   * Test to verify the check for whether a process tree is over limit or not.
   * @throws IOException if there was a problem setting up the

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    }
    // If it comes here without a test-timeout, it means there was a task that
    // was killed because of crossing cumulative TT limit.


    // Test succeeded, kill the job.
    job.killJob();
  }
}

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      // check if a reduce task got scheduled or not
      assertEquals("Waiting tracker joined but no reduce task got scheduled", 
                   1, jip.runningReduces());
      
      // kill the job
      job.killJob();
      
      // check if the reduce task attempt status is missing
      TaskInProgress tip = jip.getTasks(TaskType.REDUCE)[0]; 
      assertNull(tip.getTaskStatus(tip.getAllTaskAttemptIDs()[0]));

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      } else if (killJob) {
        Job job = cluster.getJob(JobID.forName(jobid));
        if (job == null) {
          System.out.println("Could not find job " + jobid);
        } else {
          job.killJob();
          System.out.println("Killed job " + jobid);
          exitCode = 0;
        }
      } else if (setJobPriority) {
        Job job = cluster.getJob(JobID.forName(jobid));

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    org.apache.hadoop.mapreduce.TaskID taskId =
      new org.apache.hadoop.mapreduce.TaskID(jobID, TaskType.MAP, 0);
    TaskAttemptID tId = new TaskAttemptID(taskId, 0);


    //invoke all methods to check that no exception is thrown
    job.killJob();
    job.killTask(tId);
    job.failTask(tId);
    job.getTaskCompletionEvents(0, 100);
    job.getStatus();
    job.getTaskDiagnostics(tId);

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