Package org.apache.hadoop.mapred.ControlledMapReduceJob

Examples of org.apache.hadoop.mapred.ControlledMapReduceJob.ControlledMapReduceJobRunner.start()

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    startCluster(4, clusterProps, schedulerProps);

    ControlledMapReduceJobRunner jobRunner =
        ControlledMapReduceJobRunner.getControlledMapReduceJobRunner(
            getJobConf(), 16, 16);
    jobRunner.start();
    ControlledMapReduceJob controlledJob = jobRunner.getJob();
    JobID myJobID = jobRunner.getJobID();
    JobInProgress myJob = getJobTracker().getJob(myJobID);

    ControlledMapReduceJob.waitTillNTasksStartRunning(myJob, true, 12);
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    // Confirm that the rest of the tasks are not running and waiting for slots
    // to be freed.
    waitTillAllSlotsAreOccupied(true);

    // Now start the second job.
    jobRunner2.start();
    JobID jobID2 = jobRunner2.getJobID();
    ControlledMapReduceJob controlledJob2 = jobRunner2.getJob();
    JobInProgress jip2 = getJobTracker().getJob(jobID2);

    LOG.info("Trying to finish 2 map");
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    ControlledMapReduceJob.waitTillNTasksStartRunning(jip1, true, 8);
    ControlledMapReduceJob.assertNumTasksRunning(jip1, true, 8);

    // Now start the second job.
    jobRunner2.start();
    JobID jobID2 = jobRunner2.getJobID();
    ControlledMapReduceJob controlledJob2 = jobRunner2.getJob();
    JobInProgress jip2 = getJobTracker().getJob(jobID2);

    ControlledMapReduceJob.waitTillNTasksStartRunning(jip2, true, 4);
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    conf.setQueueName(queues[0]);
    conf.setUser("U1");
    ControlledMapReduceJobRunner jobRunner =
        ControlledMapReduceJobRunner.getControlledMapReduceJobRunner(conf, 15,
            0);
    jobRunner.start();
    ControlledMapReduceJob controlledJob = jobRunner.getJob();
    JobID myJobID = jobRunner.getJobID();
    JobInProgress myJob = getJobTracker().getJob(myJobID);

    ControlledMapReduceJob.waitTillNTasksStartRunning(myJob, true, 10);
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    // cluster capacity 1 maps, 1 reduces
    startCluster(1, clusterProps, schedulerProps);
    ControlledMapReduceJobRunner jobRunner =
      ControlledMapReduceJobRunner.getControlledMapReduceJobRunner(
          getJobConf(), 3, 3);
    jobRunner.start();
    JobID myJobID = jobRunner.getJobID();
    JobInProgress myJob = getJobTracker().getJob(myJobID);
    while(!myJob.isComplete()) {
      Thread.sleep(1000);
    }
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    startCluster(4, 2, clusterProps, schedulerProps);

    ControlledMapReduceJobRunner jobRunner =
        ControlledMapReduceJobRunner.getControlledMapReduceJobRunner(
            getJobConf(), 16, 16);
    jobRunner.start();
    ControlledMapReduceJob controlledJob = jobRunner.getJob();
    JobID myJobID = jobRunner.getJobID();
    JobInProgress myJob = getJobTracker().getJob(myJobID);

    ControlledMapReduceJob.waitTillNTasksStartRunning(myJob, true, 12);
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    // Confirm that the rest of the tasks are not running and waiting for slots
    // to be freed.
    waitTillAllSlotsAreOccupied(true);

    // Now start the second job.
    jobRunner2.start();
    JobID jobID2 = jobRunner2.getJobID();
    ControlledMapReduceJob controlledJob2 = jobRunner2.getJob();
    JobInProgress jip2 = getJobTracker().getJob(jobID2);

    LOG.info("Trying to finish 2 map");
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    ControlledMapReduceJob.waitTillNTasksStartRunning(jip1, true, 8);
    ControlledMapReduceJob.assertNumTasksRunning(jip1, true, 8);

    // Now start the second job.
    jobRunner2.start();
    JobID jobID2 = jobRunner2.getJobID();
    ControlledMapReduceJob controlledJob2 = jobRunner2.getJob();
    JobInProgress jip2 = getJobTracker().getJob(jobID2);

    ControlledMapReduceJob.waitTillNTasksStartRunning(jip2, true, 4);
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    conf.setQueueName(queues[0]);
    conf.setUser("U1");
    ControlledMapReduceJobRunner jobRunner =
        ControlledMapReduceJobRunner.getControlledMapReduceJobRunner(conf, 15,
            0);
    jobRunner.start();
    ControlledMapReduceJob controlledJob = jobRunner.getJob();
    JobID myJobID = jobRunner.getJobID();
    JobInProgress myJob = getJobTracker().getJob(myJobID);

    ControlledMapReduceJob.waitTillNTasksStartRunning(myJob, true, 10);
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      startCluster(1, clusterProps, schedulerProps);

      ControlledMapReduceJobRunner jobRunner =
              ControlledMapReduceJobRunner.getControlledMapReduceJobRunner(
              getJobConf(), 4, 0);
      jobRunner.start();
      ControlledMapReduceJob controlledJob = jobRunner.getJob();
      JobID myJobID = jobRunner.getJobID();
      JobInProgress myJob = getJobTracker().getJob(myJobID);
      ControlledMapReduceJob.waitTillNTasksStartRunning(myJob, true, 2);
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