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

Example 41 with MRApp

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

the class TestFetchFailure method testFetchFailureMultipleReduces.

@Test
public void testFetchFailureMultipleReduces() throws Exception {
    MRApp app = new MRApp(1, 3, false, this.getClass().getName(), true);
    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", 4, job.getTasks().size());
    Iterator<Task> it = job.getTasks().values().iterator();
    Task mapTask = it.next();
    Task reduceTask = it.next();
    Task reduceTask2 = it.next();
    Task reduceTask3 = 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);
    app.waitForState(reduceTask2, TaskState.RUNNING);
    app.waitForState(reduceTask3, TaskState.RUNNING);
    TaskAttempt reduceAttempt = reduceTask.getAttempts().values().iterator().next();
    app.waitForState(reduceAttempt, TaskAttemptState.RUNNING);
    updateStatus(app, reduceAttempt, Phase.SHUFFLE);
    TaskAttempt reduceAttempt2 = reduceTask2.getAttempts().values().iterator().next();
    app.waitForState(reduceAttempt2, TaskAttemptState.RUNNING);
    updateStatus(app, reduceAttempt2, Phase.SHUFFLE);
    TaskAttempt reduceAttempt3 = reduceTask3.getAttempts().values().iterator().next();
    app.waitForState(reduceAttempt3, TaskAttemptState.RUNNING);
    updateStatus(app, reduceAttempt3, Phase.SHUFFLE);
    //send 2 fetch failures from reduce to prepare for map re execution
    sendFetchFailure(app, reduceAttempt, mapAttempt1, "host1");
    sendFetchFailure(app, reduceAttempt2, mapAttempt1, "host2");
    //We should not re-launch the map task yet
    assertEquals(TaskState.SUCCEEDED, mapTask.getState());
    updateStatus(app, reduceAttempt2, Phase.REDUCE);
    updateStatus(app, reduceAttempt3, Phase.REDUCE);
    //send 3rd fetch failures from reduce to trigger map re execution
    sendFetchFailure(app, reduceAttempt3, mapAttempt1, "host3");
    //wait for map Task state move back to RUNNING
    app.waitForState(mapTask, TaskState.RUNNING);
    //map attempt must have become FAILED
    Assert.assertEquals("Map TaskAttempt state not correct", TaskAttemptState.FAILED, mapAttempt1.getState());
    Assert.assertEquals(mapAttempt1.getDiagnostics().get(0), "Too many fetch failures. Failing the attempt. " + "Last failure reported by " + reduceAttempt3.getID().toString() + " from host host3");
    Assert.assertEquals("Num attempts in Map Task not correct", 2, mapTask.getAttempts().size());
    Iterator<TaskAttempt> atIt = mapTask.getAttempts().values().iterator();
    atIt.next();
    TaskAttempt mapAttempt2 = atIt.next();
    app.waitForState(mapAttempt2, TaskAttemptState.RUNNING);
    //send the done signal to the second map attempt
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapAttempt2.getID(), TaskAttemptEventType.TA_DONE));
    // wait for map success
    app.waitForState(mapTask, TaskState.SUCCEEDED);
    //send done to reduce
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(reduceAttempt.getID(), TaskAttemptEventType.TA_DONE));
    //send done to reduce
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(reduceAttempt2.getID(), TaskAttemptEventType.TA_DONE));
    //send done to reduce
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(reduceAttempt3.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(job, JobState.SUCCEEDED);
    //previous completion event now becomes obsolete
    Assert.assertEquals("Event status not correct", TaskAttemptCompletionEventStatus.OBSOLETE, events[0].getStatus());
    events = job.getTaskAttemptCompletionEvents(0, 100);
    Assert.assertEquals("Num completion events not correct", 6, events.length);
    Assert.assertEquals("Event map attempt id not correct", mapAttempt1.getID(), events[0].getAttemptId());
    Assert.assertEquals("Event map attempt id not correct", mapAttempt1.getID(), events[1].getAttemptId());
    Assert.assertEquals("Event map attempt id not correct", mapAttempt2.getID(), events[2].getAttemptId());
    Assert.assertEquals("Event reduce attempt id not correct", reduceAttempt.getID(), events[3].getAttemptId());
    Assert.assertEquals("Event status not correct for map attempt1", TaskAttemptCompletionEventStatus.OBSOLETE, events[0].getStatus());
    Assert.assertEquals("Event status not correct for map attempt1", TaskAttemptCompletionEventStatus.FAILED, events[1].getStatus());
    Assert.assertEquals("Event status not correct for map attempt2", TaskAttemptCompletionEventStatus.SUCCEEDED, events[2].getStatus());
    Assert.assertEquals("Event status not correct for reduce attempt1", TaskAttemptCompletionEventStatus.SUCCEEDED, events[3].getStatus());
    TaskCompletionEvent[] mapEvents = job.getMapAttemptCompletionEvents(0, 2);
    TaskCompletionEvent[] convertedEvents = TypeConverter.fromYarn(events);
    Assert.assertEquals("Incorrect number of map events", 2, mapEvents.length);
    Assert.assertArrayEquals("Unexpected map events", Arrays.copyOfRange(convertedEvents, 0, 2), mapEvents);
    mapEvents = job.getMapAttemptCompletionEvents(2, 200);
    Assert.assertEquals("Incorrect number of map events", 1, mapEvents.length);
    Assert.assertEquals("Unexpected map event", convertedEvents[2], mapEvents[0]);
}

Example 42 with MRApp

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

the class TestTaskAttempt method testMRAppHistory.

private void testMRAppHistory(MRApp app) throws Exception {
    Configuration conf = new Configuration();
    Job job = app.submit(conf);
    app.waitForState(job, JobState.FAILED);
    Map<TaskId, Task> tasks = job.getTasks();
    Assert.assertEquals("Num tasks is not correct", 1, tasks.size());
    Task task = tasks.values().iterator().next();
    Assert.assertEquals("Task state not correct", TaskState.FAILED, task.getReport().getTaskState());
    Map<TaskAttemptId, TaskAttempt> attempts = tasks.values().iterator().next().getAttempts();
    Assert.assertEquals("Num attempts is not correct", 4, attempts.size());
    Iterator<TaskAttempt> it = attempts.values().iterator();
    TaskAttemptReport report = it.next().getReport();
    Assert.assertEquals("Attempt state not correct", TaskAttemptState.FAILED, report.getTaskAttemptState());
    Assert.assertEquals("Diagnostic Information is not Correct", "Test Diagnostic Event", report.getDiagnosticInfo());
    report = it.next().getReport();
    Assert.assertEquals("Attempt state not correct", TaskAttemptState.FAILED, report.getTaskAttemptState());
}

Example 43 with MRApp

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

the class TestTaskAttempt method testMRAppHistoryForMap.

@Test
public void testMRAppHistoryForMap() throws Exception {
    MRApp app = new FailingAttemptsMRApp(1, 0);
    testMRAppHistory(app);
}

Example 44 with MRApp

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

the class TestTaskAttempt method testMRAppHistoryForReduce.

@Test
public void testMRAppHistoryForReduce() throws Exception {
    MRApp app = new FailingAttemptsMRApp(0, 1);
    testMRAppHistory(app);
}

Example 45 with MRApp

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

the class TestRecovery method testRecoveryWithOldCommiter.

@Test
public void testRecoveryWithOldCommiter() throws Exception {
    int runCount = 0;
    MRApp app = new MRAppWithHistory(1, 2, false, this.getClass().getName(), true, ++runCount);
    Configuration conf = new Configuration();
    conf.setBoolean("mapred.mapper.new-api", false);
    conf.setBoolean("mapred.reducer.new-api", false);
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    Job job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    Assert.assertEquals("No of tasks not correct", 3, job.getTasks().size());
    Iterator<Task> it = job.getTasks().values().iterator();
    Task mapTask1 = it.next();
    Task reduceTask1 = it.next();
    // all maps must be running
    app.waitForState(mapTask1, TaskState.RUNNING);
    TaskAttempt task1Attempt1 = mapTask1.getAttempts().values().iterator().next();
    //before sending the TA_DONE, event make sure attempt has come to 
    //RUNNING state
    app.waitForState(task1Attempt1, TaskAttemptState.RUNNING);
    //send the done signal to the map
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task1Attempt1.getID(), TaskAttemptEventType.TA_DONE));
    //wait for map task to complete
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    // Verify the shuffle-port
    Assert.assertEquals(5467, task1Attempt1.getShufflePort());
    app.waitForState(reduceTask1, TaskState.RUNNING);
    TaskAttempt reduce1Attempt1 = reduceTask1.getAttempts().values().iterator().next();
    // write output corresponding to reduce1
    writeOutput(reduce1Attempt1, conf);
    //send the done signal to the 1st reduce
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(reduce1Attempt1.getID(), TaskAttemptEventType.TA_DONE));
    //wait for first reduce task to complete
    app.waitForState(reduceTask1, TaskState.SUCCEEDED);
    //stop the app before the job completes.
    app.stop();
    //rerun
    //in rerun the map will be recovered from previous run
    app = new MRAppWithHistory(1, 2, false, this.getClass().getName(), false, ++runCount);
    conf = new Configuration();
    conf.setBoolean(MRJobConfig.MR_AM_JOB_RECOVERY_ENABLE, true);
    conf.setBoolean("mapred.mapper.new-api", false);
    conf.setBoolean("mapred.reducer.new-api", false);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    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();
    reduceTask1 = it.next();
    Task reduceTask2 = it.next();
    // map will be recovered, no need to send done
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    // Verify the shuffle-port after recovery
    task1Attempt1 = mapTask1.getAttempts().values().iterator().next();
    Assert.assertEquals(5467, task1Attempt1.getShufflePort());
    // first reduce will be recovered, no need to send done
    app.waitForState(reduceTask1, TaskState.SUCCEEDED);
    app.waitForState(reduceTask2, TaskState.RUNNING);
    TaskAttempt reduce2Attempt = reduceTask2.getAttempts().values().iterator().next();
    //before sending the TA_DONE, event make sure attempt has come to 
    //RUNNING state
    app.waitForState(reduce2Attempt, TaskAttemptState.RUNNING);
    //send the done signal to the 2nd reduce task
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(reduce2Attempt.getID(), TaskAttemptEventType.TA_DONE));
    //wait to get it completed
    app.waitForState(reduceTask2, TaskState.SUCCEEDED);
    app.waitForState(job, JobState.SUCCEEDED);
    app.verifyCompleted();
    validateOutput();
}