Examples with Task org.apache.hadoop.mapreduce.v2.app.job.Task used on opensource projects

Example 76 with Task

use of org.apache.hadoop.mapreduce.v2.app.job.Task in project hadoop by apache.

the class TestFetchFailure method testFetchFailureWithRecovery.

/**
   * This tests that if a map attempt was failed (say due to fetch failures),
   * then it gets re-run. When the next map attempt is running, if the AM dies,
   * then, on AM re-run, the AM does not incorrectly remember the first failed
   * attempt. Currently recovery does not recover running tasks. Effectively,
   * the AM re-runs the maps from scratch.
   */
@Test
public void testFetchFailureWithRecovery() throws Exception {
    int runCount = 0;
    MRApp app = new MRAppWithHistory(1, 1, false, this.getClass().getName(), true, ++runCount);
    Configuration conf = new Configuration();
    // map -> reduce -> fetch-failure -> map retry is incompatible with
    // sequential, single-task-attempt approach in uber-AM, so disable:
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    Job job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    //all maps would be running
    Assert.assertEquals("Num tasks not correct", 2, job.getTasks().size());
    Iterator<Task> it = job.getTasks().values().iterator();
    Task mapTask = it.next();
    Task reduceTask = it.next();
    //wait for Task state move to RUNNING
    app.waitForState(mapTask, TaskState.RUNNING);
    TaskAttempt mapAttempt1 = mapTask.getAttempts().values().iterator().next();
    app.waitForState(mapAttempt1, TaskAttemptState.RUNNING);
    //send the done signal to the map attempt
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapAttempt1.getID(), TaskAttemptEventType.TA_DONE));
    // wait for map success
    app.waitForState(mapTask, TaskState.SUCCEEDED);
    TaskAttemptCompletionEvent[] events = job.getTaskAttemptCompletionEvents(0, 100);
    Assert.assertEquals("Num completion events not correct", 1, events.length);
    Assert.assertEquals("Event status not correct", TaskAttemptCompletionEventStatus.SUCCEEDED, events[0].getStatus());
    // wait for reduce to start running
    app.waitForState(reduceTask, TaskState.RUNNING);
    TaskAttempt reduceAttempt = reduceTask.getAttempts().values().iterator().next();
    app.waitForState(reduceAttempt, TaskAttemptState.RUNNING);
    //send 3 fetch failures from reduce to trigger map re execution
    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
    //wait for map Task state move back to RUNNING
    app.waitForState(mapTask, TaskState.RUNNING);
    // Crash the app again.
    app.stop();
    //rerun
    app = new MRAppWithHistory(1, 1, false, this.getClass().getName(), false, ++runCount);
    conf = new Configuration();
    conf.setBoolean(MRJobConfig.MR_AM_JOB_RECOVERY_ENABLE, true);
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    //all maps would be running
    Assert.assertEquals("Num tasks not correct", 2, job.getTasks().size());
    it = job.getTasks().values().iterator();
    mapTask = it.next();
    reduceTask = it.next();
    // the map is not in a SUCCEEDED state after restart of AM
    app.waitForState(mapTask, TaskState.RUNNING);
    mapAttempt1 = mapTask.getAttempts().values().iterator().next();
    app.waitForState(mapAttempt1, TaskAttemptState.RUNNING);
    //send the done signal to the map attempt
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapAttempt1.getID(), TaskAttemptEventType.TA_DONE));
    // wait for map success
    app.waitForState(mapTask, TaskState.SUCCEEDED);
    reduceAttempt = reduceTask.getAttempts().values().iterator().next();
    //send done to reduce
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(reduceAttempt.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(job, JobState.SUCCEEDED);
    events = job.getTaskAttemptCompletionEvents(0, 100);
    Assert.assertEquals("Num completion events not correct", 2, events.length);
}

Example 77 with Task

use of org.apache.hadoop.mapreduce.v2.app.job.Task in project hadoop by apache.

the class TestRecovery method testRecoveryWithoutShuffleSecret.

@Test(timeout = 30000)
public void testRecoveryWithoutShuffleSecret() throws Exception {
    int runCount = 0;
    MRApp app = new MRAppNoShuffleSecret(2, 1, false, this.getClass().getName(), true, ++runCount);
    Configuration conf = new Configuration();
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean("mapred.reducer.new-api", true);
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    Job job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    //all maps would be running
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    Iterator<Task> it = job.getTasks().values().iterator();
    Task mapTask1 = it.next();
    Task mapTask2 = it.next();
    Task reduceTask = it.next();
    // all maps must be running
    app.waitForState(mapTask1, TaskState.RUNNING);
    app.waitForState(mapTask2, TaskState.RUNNING);
    TaskAttempt task1Attempt = mapTask1.getAttempts().values().iterator().next();
    TaskAttempt task2Attempt = mapTask2.getAttempts().values().iterator().next();
    //before sending the TA_DONE, event make sure attempt has come to
    //RUNNING state
    app.waitForState(task1Attempt, TaskAttemptState.RUNNING);
    app.waitForState(task2Attempt, TaskAttemptState.RUNNING);
    app.waitForState(reduceTask, TaskState.RUNNING);
    //send the done signal to the 1st map attempt
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task1Attempt.getID(), TaskAttemptEventType.TA_DONE));
    //wait for first map task to complete
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    //stop the app
    app.stop();
    //in recovery the 1st map should NOT be recovered from previous run
    //since the shuffle secret was not provided with the job credentials
    //and had to be rolled per app attempt
    app = new MRAppNoShuffleSecret(2, 1, false, this.getClass().getName(), false, ++runCount);
    conf = new Configuration();
    conf.setBoolean(MRJobConfig.MR_AM_JOB_RECOVERY_ENABLE, true);
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean("mapred.reducer.new-api", true);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    //all maps would be running
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    it = job.getTasks().values().iterator();
    mapTask1 = it.next();
    mapTask2 = it.next();
    reduceTask = it.next();
    app.waitForState(mapTask1, TaskState.RUNNING);
    app.waitForState(mapTask2, TaskState.RUNNING);
    task2Attempt = mapTask2.getAttempts().values().iterator().next();
    //before sending the TA_DONE, event make sure attempt has come to
    //RUNNING state
    app.waitForState(task2Attempt, TaskAttemptState.RUNNING);
    //send the done signal to the 2nd map task
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapTask2.getAttempts().values().iterator().next().getID(), TaskAttemptEventType.TA_DONE));
    //wait to get it completed
    app.waitForState(mapTask2, TaskState.SUCCEEDED);
    //verify first map task is still running
    app.waitForState(mapTask1, TaskState.RUNNING);
    //send the done signal to the 2nd map task
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapTask1.getAttempts().values().iterator().next().getID(), TaskAttemptEventType.TA_DONE));
    //wait to get it completed
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    //wait for reduce to be running before sending done
    app.waitForState(reduceTask, TaskState.RUNNING);
    //send the done signal to the reduce
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(reduceTask.getAttempts().values().iterator().next().getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(job, JobState.SUCCEEDED);
    app.verifyCompleted();
}

Example 78 with Task

use of org.apache.hadoop.mapreduce.v2.app.job.Task in project hadoop by apache.

the class TestRecovery method testRecoverySuccessUsingCustomOutputCommitter.

/**
   * This test case primarily verifies if the recovery is controlled through config
   * property. In this case, recover is turned ON. AM with 3 maps and 0 reduce.
   * AM crashes after the first two tasks finishes and recovers completely and
   * succeeds in the second generation.
   * 
   * @throws Exception
   */
@Test
public void testRecoverySuccessUsingCustomOutputCommitter() throws Exception {
    int runCount = 0;
    MRApp app = new MRAppWithHistory(3, 0, false, this.getClass().getName(), true, ++runCount);
    Configuration conf = new Configuration();
    conf.setClass("mapred.output.committer.class", TestFileOutputCommitter.class, org.apache.hadoop.mapred.OutputCommitter.class);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    conf.setBoolean("want.am.recovery", true);
    Job job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    // all maps would be running
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    Iterator<Task> it = job.getTasks().values().iterator();
    Task mapTask1 = it.next();
    Task mapTask2 = it.next();
    Task mapTask3 = it.next();
    // all maps must be running
    app.waitForState(mapTask1, TaskState.RUNNING);
    app.waitForState(mapTask2, TaskState.RUNNING);
    app.waitForState(mapTask3, TaskState.RUNNING);
    TaskAttempt task1Attempt = mapTask1.getAttempts().values().iterator().next();
    TaskAttempt task2Attempt = mapTask2.getAttempts().values().iterator().next();
    TaskAttempt task3Attempt = mapTask3.getAttempts().values().iterator().next();
    // before sending the TA_DONE, event make sure attempt has come to
    // RUNNING state
    app.waitForState(task1Attempt, TaskAttemptState.RUNNING);
    app.waitForState(task2Attempt, TaskAttemptState.RUNNING);
    app.waitForState(task3Attempt, TaskAttemptState.RUNNING);
    // send the done signal to the 1st two maps
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task1Attempt.getID(), TaskAttemptEventType.TA_DONE));
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task2Attempt.getID(), TaskAttemptEventType.TA_DONE));
    // wait for first two map task to complete
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    app.waitForState(mapTask2, TaskState.SUCCEEDED);
    // stop the app
    app.stop();
    // rerun
    // in rerun the 1st two map will be recovered from previous run
    app = new MRAppWithHistory(2, 1, false, this.getClass().getName(), false, ++runCount);
    conf = new Configuration();
    conf.setClass("mapred.output.committer.class", TestFileOutputCommitter.class, org.apache.hadoop.mapred.OutputCommitter.class);
    conf.setBoolean("want.am.recovery", true);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    // Set num-reduces explicitly in conf as recovery logic depends on it.
    conf.setInt(MRJobConfig.NUM_REDUCES, 0);
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    it = job.getTasks().values().iterator();
    mapTask1 = it.next();
    mapTask2 = it.next();
    mapTask3 = it.next();
    // first two maps will be recovered, no need to send done
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    app.waitForState(mapTask2, TaskState.SUCCEEDED);
    app.waitForState(mapTask3, TaskState.RUNNING);
    task3Attempt = mapTask3.getAttempts().values().iterator().next();
    // before sending the TA_DONE, event make sure attempt has come to
    // RUNNING state
    app.waitForState(task3Attempt, TaskAttemptState.RUNNING);
    // send the done signal to the 3rd map task
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapTask3.getAttempts().values().iterator().next().getID(), TaskAttemptEventType.TA_DONE));
    // wait to get it completed
    app.waitForState(mapTask3, TaskState.SUCCEEDED);
    app.waitForState(job, JobState.SUCCEEDED);
    app.verifyCompleted();
}

Example 79 with Task

use of org.apache.hadoop.mapreduce.v2.app.job.Task in project hadoop by apache.

the class TestRecovery method testMultipleCrashes.

@Test
public void testMultipleCrashes() throws Exception {
    int runCount = 0;
    MRApp app = new MRAppWithHistory(2, 1, false, this.getClass().getName(), true, ++runCount);
    Configuration conf = new Configuration();
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean("mapred.reducer.new-api", true);
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    Job job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    //all maps would be running
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    Iterator<Task> it = job.getTasks().values().iterator();
    Task mapTask1 = it.next();
    Task mapTask2 = it.next();
    Task reduceTask = it.next();
    // all maps must be running
    app.waitForState(mapTask1, TaskState.RUNNING);
    app.waitForState(mapTask2, TaskState.RUNNING);
    TaskAttempt task1Attempt1 = mapTask1.getAttempts().values().iterator().next();
    TaskAttempt task2Attempt = mapTask2.getAttempts().values().iterator().next();
    //before sending the TA_DONE, event make sure attempt has come to 
    //RUNNING state
    app.waitForState(task1Attempt1, TaskAttemptState.RUNNING);
    app.waitForState(task2Attempt, TaskAttemptState.RUNNING);
    // reduces must be in NEW state
    Assert.assertEquals("Reduce Task state not correct", TaskState.RUNNING, reduceTask.getReport().getTaskState());
    //send the done signal to the 1st map
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task1Attempt1.getID(), TaskAttemptEventType.TA_DONE));
    //wait for first map task to complete
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    // Crash the app
    app.stop();
    //rerun
    //in rerun the 1st map will be recovered from previous run
    app = new MRAppWithHistory(2, 1, false, this.getClass().getName(), false, ++runCount);
    conf = new Configuration();
    conf.setBoolean(MRJobConfig.MR_AM_JOB_RECOVERY_ENABLE, true);
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean("mapred.reducer.new-api", true);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    //all maps would be running
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    it = job.getTasks().values().iterator();
    mapTask1 = it.next();
    mapTask2 = it.next();
    reduceTask = it.next();
    // first map will be recovered, no need to send done
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    app.waitForState(mapTask2, TaskState.RUNNING);
    task2Attempt = mapTask2.getAttempts().values().iterator().next();
    //before sending the TA_DONE, event make sure attempt has come to 
    //RUNNING state
    app.waitForState(task2Attempt, TaskAttemptState.RUNNING);
    //send the done signal to the 2nd map task
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapTask2.getAttempts().values().iterator().next().getID(), TaskAttemptEventType.TA_DONE));
    //wait to get it completed
    app.waitForState(mapTask2, TaskState.SUCCEEDED);
    // Crash the app again.
    app.stop();
    //rerun
    //in rerun the 1st and 2nd map will be recovered from previous run
    app = new MRAppWithHistory(2, 1, false, this.getClass().getName(), false, ++runCount);
    conf = new Configuration();
    conf.setBoolean(MRJobConfig.MR_AM_JOB_RECOVERY_ENABLE, true);
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean("mapred.reducer.new-api", true);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    //all maps would be running
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    it = job.getTasks().values().iterator();
    mapTask1 = it.next();
    mapTask2 = it.next();
    reduceTask = it.next();
    // The maps will be recovered, no need to send done
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    app.waitForState(mapTask2, TaskState.SUCCEEDED);
    //wait for reduce to be running before sending done
    app.waitForState(reduceTask, TaskState.RUNNING);
    //send the done signal to the reduce
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(reduceTask.getAttempts().values().iterator().next().getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(job, JobState.SUCCEEDED);
    app.verifyCompleted();
}

Example 80 with Task

use of org.apache.hadoop.mapreduce.v2.app.job.Task in project hadoop by apache.

the class TestRecovery method testCrashOfMapsOnlyJob.

/**
   * AM with 3 maps and 0 reduce. AM crashes after the first two tasks finishes
   * and recovers completely and succeeds in the second generation.
   * 
   * @throws Exception
   */
@Test
public void testCrashOfMapsOnlyJob() throws Exception {
    int runCount = 0;
    MRApp app = new MRAppWithHistory(3, 0, false, this.getClass().getName(), true, ++runCount);
    Configuration conf = new Configuration();
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    Job job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    // all maps would be running
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    Iterator<Task> it = job.getTasks().values().iterator();
    Task mapTask1 = it.next();
    Task mapTask2 = it.next();
    Task mapTask3 = it.next();
    // all maps must be running
    app.waitForState(mapTask1, TaskState.RUNNING);
    app.waitForState(mapTask2, TaskState.RUNNING);
    app.waitForState(mapTask3, TaskState.RUNNING);
    TaskAttempt task1Attempt = mapTask1.getAttempts().values().iterator().next();
    TaskAttempt task2Attempt = mapTask2.getAttempts().values().iterator().next();
    TaskAttempt task3Attempt = mapTask3.getAttempts().values().iterator().next();
    // before sending the TA_DONE, event make sure attempt has come to
    // RUNNING state
    app.waitForState(task1Attempt, TaskAttemptState.RUNNING);
    app.waitForState(task2Attempt, TaskAttemptState.RUNNING);
    app.waitForState(task3Attempt, TaskAttemptState.RUNNING);
    // send the done signal to the 1st two maps
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task1Attempt.getID(), TaskAttemptEventType.TA_DONE));
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task2Attempt.getID(), TaskAttemptEventType.TA_DONE));
    // wait for first two map task to complete
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    app.waitForState(mapTask2, TaskState.SUCCEEDED);
    // stop the app
    app.stop();
    // rerun
    // in rerun the 1st two map will be recovered from previous run
    app = new MRAppWithHistory(2, 1, false, this.getClass().getName(), false, ++runCount);
    conf = new Configuration();
    conf.setBoolean(MRJobConfig.MR_AM_JOB_RECOVERY_ENABLE, true);
    conf.setBoolean("mapred.mapper.new-api", true);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    // Set num-reduces explicitly in conf as recovery logic depends on it.
    conf.setInt(MRJobConfig.NUM_REDUCES, 0);
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    it = job.getTasks().values().iterator();
    mapTask1 = it.next();
    mapTask2 = it.next();
    mapTask3 = it.next();
    // first two maps will be recovered, no need to send done
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    app.waitForState(mapTask2, TaskState.SUCCEEDED);
    app.waitForState(mapTask3, TaskState.RUNNING);
    task3Attempt = mapTask3.getAttempts().values().iterator().next();
    // before sending the TA_DONE, event make sure attempt has come to
    // RUNNING state
    app.waitForState(task3Attempt, TaskAttemptState.RUNNING);
    // send the done signal to the 3rd map task
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapTask3.getAttempts().values().iterator().next().getID(), TaskAttemptEventType.TA_DONE));
    // wait to get it completed
    app.waitForState(mapTask3, TaskState.SUCCEEDED);
    app.waitForState(job, JobState.SUCCEEDED);
    app.verifyCompleted();
}