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

Example 46 with MRApp

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

the class TestRecovery method testRecoveryWithSpillEncryption.

@Test
public void testRecoveryWithSpillEncryption() throws Exception {
    int runCount = 0;
    MRApp app = new MRAppWithHistory(1, 1, false, this.getClass().getName(), true, ++runCount) {
    };
    Configuration 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.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    conf.set(FileOutputFormat.OUTDIR, outputDir.toString());
    conf.setBoolean(MRJobConfig.MR_ENCRYPTED_INTERMEDIATE_DATA, true);
    // run the MR job at the first attempt
    Job jobAttempt1 = app.submit(conf);
    app.waitForState(jobAttempt1, JobState.RUNNING);
    Iterator<Task> tasks = jobAttempt1.getTasks().values().iterator();
    // finish the map task but the reduce task
    Task mapper = tasks.next();
    app.waitForState(mapper, TaskState.RUNNING);
    TaskAttempt mapAttempt = mapper.getAttempts().values().iterator().next();
    app.waitForState(mapAttempt, TaskAttemptState.RUNNING);
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapAttempt.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(mapper, TaskState.SUCCEEDED);
    // crash the first attempt of the MR job
    app.stop();
    // run the MR job again at the second attempt
    app = new MRAppWithHistory(1, 1, false, this.getClass().getName(), false, ++runCount);
    Job jobAttempt2 = app.submit(conf);
    Assert.assertTrue("Recovery from previous job attempt is processed even " + "though intermediate data encryption is enabled.", !app.recovered());
    // The map task succeeded from previous job attempt will not be recovered
    // because the data spill encryption is enabled.
    // Let's finish the job at the second attempt and verify its completion.
    app.waitForState(jobAttempt2, JobState.RUNNING);
    tasks = jobAttempt2.getTasks().values().iterator();
    mapper = tasks.next();
    Task reducer = tasks.next();
    // finish the map task first
    app.waitForState(mapper, TaskState.RUNNING);
    mapAttempt = mapper.getAttempts().values().iterator().next();
    app.waitForState(mapAttempt, TaskAttemptState.RUNNING);
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapAttempt.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(mapper, TaskState.SUCCEEDED);
    // then finish the reduce task
    TaskAttempt redAttempt = reducer.getAttempts().values().iterator().next();
    app.waitForState(redAttempt, TaskAttemptState.RUNNING);
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(redAttempt.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(reducer, TaskState.SUCCEEDED);
    // verify that the job succeeds at the 2rd attempt
    app.waitForState(jobAttempt2, JobState.SUCCEEDED);
}

Example 47 with MRApp

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

the class TestRecovery method testSpeculative.

/**
   * AM with 2 maps and 1 reduce. For 1st map, one attempt fails, one attempt
   * completely disappears because of failed launch, one attempt gets killed and
   * one attempt succeeds. AM crashes after the first tasks finishes and
   * recovers completely and succeeds in the second generation.
   * 
   * @throws Exception
   */
@Test
public void testSpeculative() throws Exception {
    int runCount = 0;
    long am1StartTimeEst = System.currentTimeMillis();
    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);
    long jobStartTime = job.getReport().getStartTime();
    //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);
    // Launch a Speculative Task for the first Task
    app.getContext().getEventHandler().handle(new TaskEvent(mapTask1.getID(), TaskEventType.T_ADD_SPEC_ATTEMPT));
    int timeOut = 0;
    while (mapTask1.getAttempts().size() != 2 && timeOut++ < 10) {
        Thread.sleep(1000);
        LOG.info("Waiting for next attempt to start");
    }
    Iterator<TaskAttempt> t1it = mapTask1.getAttempts().values().iterator();
    TaskAttempt task1Attempt1 = t1it.next();
    TaskAttempt task1Attempt2 = t1it.next();
    TaskAttempt task2Attempt = mapTask2.getAttempts().values().iterator().next();
    // wait for the second task attempt to be assigned.
    waitForContainerAssignment(task1Attempt2);
    ContainerId t1a2contId = task1Attempt2.getAssignedContainerID();
    LOG.info(t1a2contId.toString());
    LOG.info(task1Attempt1.getID().toString());
    LOG.info(task1Attempt2.getID().toString());
    // Launch container for speculative attempt
    app.getContext().getEventHandler().handle(new TaskAttemptContainerLaunchedEvent(task1Attempt2.getID(), runCount));
    //before sending the TA_DONE, event make sure attempt has come to 
    //RUNNING state
    app.waitForState(task1Attempt1, TaskAttemptState.RUNNING);
    app.waitForState(task1Attempt2, TaskAttemptState.RUNNING);
    app.waitForState(task2Attempt, TaskAttemptState.RUNNING);
    app.waitForState(reduceTask, TaskState.RUNNING);
    //send the done signal to the map 1 attempt 1
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task1Attempt1.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(task1Attempt1, TaskAttemptState.SUCCEEDED);
    //wait for first map task to complete
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    long task1StartTime = mapTask1.getReport().getStartTime();
    long task1FinishTime = mapTask1.getReport().getFinishTime();
    //stop the app
    app.stop();
    //rerun
    //in rerun the 1st map will be recovered from previous run
    long am2StartTimeEst = System.currentTimeMillis();
    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);
    //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();
    Assert.assertEquals("Job Start time not correct", jobStartTime, job.getReport().getStartTime());
    Assert.assertEquals("Task Start time not correct", task1StartTime, mapTask1.getReport().getStartTime());
    Assert.assertEquals("Task Finish time not correct", task1FinishTime, mapTask1.getReport().getFinishTime());
    Assert.assertEquals(2, job.getAMInfos().size());
    int attemptNum = 1;
    // Verify AMInfo
    for (AMInfo amInfo : job.getAMInfos()) {
        Assert.assertEquals(attemptNum++, amInfo.getAppAttemptId().getAttemptId());
        Assert.assertEquals(amInfo.getAppAttemptId(), amInfo.getContainerId().getApplicationAttemptId());
        Assert.assertEquals(MRApp.NM_HOST, amInfo.getNodeManagerHost());
        Assert.assertEquals(MRApp.NM_PORT, amInfo.getNodeManagerPort());
        Assert.assertEquals(MRApp.NM_HTTP_PORT, amInfo.getNodeManagerHttpPort());
    }
    long am1StartTimeReal = job.getAMInfos().get(0).getStartTime();
    long am2StartTimeReal = job.getAMInfos().get(1).getStartTime();
    Assert.assertTrue(am1StartTimeReal >= am1StartTimeEst && am1StartTimeReal <= am2StartTimeEst);
    Assert.assertTrue(am2StartTimeReal >= am2StartTimeEst && am2StartTimeReal <= System.currentTimeMillis());
}

Example 48 with MRApp

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

the class TestTaskAttempt method verifyMillisCounters.

public void verifyMillisCounters(Resource containerResource, int minContainerSize) throws Exception {
    Clock actualClock = SystemClock.getInstance();
    ControlledClock clock = new ControlledClock(actualClock);
    clock.setTime(10);
    MRApp app = new MRApp(1, 1, false, "testSlotMillisCounterUpdate", true, clock);
    app.setAllocatedContainerResource(containerResource);
    Configuration conf = new Configuration();
    conf.setInt(YarnConfiguration.RM_SCHEDULER_MINIMUM_ALLOCATION_MB, minContainerSize);
    app.setClusterInfo(new ClusterInfo(Resource.newInstance(10240, 1)));
    Job job = app.submit(conf);
    app.waitForState(job, JobState.RUNNING);
    Map<TaskId, Task> tasks = job.getTasks();
    Assert.assertEquals("Num tasks is not correct", 2, tasks.size());
    Iterator<Task> taskIter = tasks.values().iterator();
    Task mTask = taskIter.next();
    app.waitForState(mTask, TaskState.RUNNING);
    Task rTask = taskIter.next();
    app.waitForState(rTask, TaskState.RUNNING);
    Map<TaskAttemptId, TaskAttempt> mAttempts = mTask.getAttempts();
    Assert.assertEquals("Num attempts is not correct", 1, mAttempts.size());
    Map<TaskAttemptId, TaskAttempt> rAttempts = rTask.getAttempts();
    Assert.assertEquals("Num attempts is not correct", 1, rAttempts.size());
    TaskAttempt mta = mAttempts.values().iterator().next();
    TaskAttempt rta = rAttempts.values().iterator().next();
    app.waitForState(mta, TaskAttemptState.RUNNING);
    app.waitForState(rta, TaskAttemptState.RUNNING);
    clock.setTime(11);
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(mta.getID(), TaskAttemptEventType.TA_DONE));
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(rta.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(job, JobState.SUCCEEDED);
    Assert.assertEquals(mta.getFinishTime(), 11);
    Assert.assertEquals(mta.getLaunchTime(), 10);
    Assert.assertEquals(rta.getFinishTime(), 11);
    Assert.assertEquals(rta.getLaunchTime(), 10);
    Counters counters = job.getAllCounters();
    int memoryMb = (int) containerResource.getMemorySize();
    int vcores = containerResource.getVirtualCores();
    Assert.assertEquals((int) Math.ceil((float) memoryMb / minContainerSize), counters.findCounter(JobCounter.SLOTS_MILLIS_MAPS).getValue());
    Assert.assertEquals((int) Math.ceil((float) memoryMb / minContainerSize), counters.findCounter(JobCounter.SLOTS_MILLIS_REDUCES).getValue());
    Assert.assertEquals(1, counters.findCounter(JobCounter.MILLIS_MAPS).getValue());
    Assert.assertEquals(1, counters.findCounter(JobCounter.MILLIS_REDUCES).getValue());
    Assert.assertEquals(memoryMb, counters.findCounter(JobCounter.MB_MILLIS_MAPS).getValue());
    Assert.assertEquals(memoryMb, counters.findCounter(JobCounter.MB_MILLIS_REDUCES).getValue());
    Assert.assertEquals(vcores, counters.findCounter(JobCounter.VCORES_MILLIS_MAPS).getValue());
    Assert.assertEquals(vcores, counters.findCounter(JobCounter.VCORES_MILLIS_REDUCES).getValue());
}

Example 49 with MRApp

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

the class TestMRApp method testJobRebootNotLastRetryOnUnregistrationFailure.

@Test
public void testJobRebootNotLastRetryOnUnregistrationFailure() throws Exception {
    MRApp app = new MRApp(1, 0, false, this.getClass().getName(), true);
    Job job = app.submit(new Configuration());
    app.waitForState(job, JobState.RUNNING);
    Assert.assertEquals("Num tasks not correct", 1, job.getTasks().size());
    Iterator<Task> it = job.getTasks().values().iterator();
    Task task = it.next();
    app.waitForState(task, TaskState.RUNNING);
    //send an reboot event
    app.getContext().getEventHandler().handle(new JobEvent(job.getID(), JobEventType.JOB_AM_REBOOT));
    // return exteranl state as RUNNING since otherwise the JobClient will
    // prematurely exit.
    app.waitForState(job, JobState.RUNNING);
}

Example 50 with MRApp

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

the class TestMRApp method testUpdatedNodes.

/**
   * The test verifies that the AM re-runs maps that have run on bad nodes. It
   * also verifies that the AM records all success/killed events so that reduces
   * are notified about map output status changes. It also verifies that the
   * re-run information is preserved across AM restart
   */
@Test
public void testUpdatedNodes() throws Exception {
    int runCount = 0;
    Dispatcher disp = Mockito.spy(new AsyncDispatcher());
    MRApp app = new MRAppWithHistory(2, 2, false, this.getClass().getName(), true, ++runCount, disp);
    Configuration conf = new Configuration();
    // after half of the map completion, reduce will start
    conf.setFloat(MRJobConfig.COMPLETED_MAPS_FOR_REDUCE_SLOWSTART, 0.5f);
    // uberization forces full slowstart (1.0), so disable that
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    ContainerAllocEventHandler handler = new ContainerAllocEventHandler();
    disp.register(ContainerAllocator.EventType.class, handler);
    final Job job1 = app.submit(conf);
    app.waitForState(job1, JobState.RUNNING);
    Assert.assertEquals("Num tasks not correct", 4, job1.getTasks().size());
    Iterator<Task> it = job1.getTasks().values().iterator();
    Task mapTask1 = it.next();
    Task mapTask2 = 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();
    NodeId node1 = task1Attempt.getNodeId();
    NodeId node2 = task2Attempt.getNodeId();
    Assert.assertEquals(node1, node2);
    // send the done signal to the task
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task1Attempt.getID(), TaskAttemptEventType.TA_DONE));
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task2Attempt.getID(), TaskAttemptEventType.TA_DONE));
    // all maps must be succeeded
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    app.waitForState(mapTask2, TaskState.SUCCEEDED);
    final int checkIntervalMillis = 100;
    final int waitForMillis = 800;
    waitFor(new Supplier<Boolean>() {

        @Override
        public Boolean get() {
            TaskAttemptCompletionEvent[] events = job1.getTaskAttemptCompletionEvents(0, 100);
            return events.length == 2;
        }
    }, checkIntervalMillis, waitForMillis);
    TaskAttemptCompletionEvent[] events = job1.getTaskAttemptCompletionEvents(0, 100);
    Assert.assertEquals("Expecting 2 completion events for success", 2, events.length);
    // send updated nodes info
    ArrayList<NodeReport> updatedNodes = new ArrayList<NodeReport>();
    NodeReport nr = RecordFactoryProvider.getRecordFactory(null).newRecordInstance(NodeReport.class);
    nr.setNodeId(node1);
    nr.setNodeState(NodeState.UNHEALTHY);
    updatedNodes.add(nr);
    app.getContext().getEventHandler().handle(new JobUpdatedNodesEvent(job1.getID(), updatedNodes));
    app.waitForState(task1Attempt, TaskAttemptState.KILLED);
    app.waitForState(task2Attempt, TaskAttemptState.KILLED);
    waitFor(new Supplier<Boolean>() {

        @Override
        public Boolean get() {
            TaskAttemptCompletionEvent[] events = job1.getTaskAttemptCompletionEvents(0, 100);
            return events.length == 4;
        }
    }, checkIntervalMillis, waitForMillis);
    events = job1.getTaskAttemptCompletionEvents(0, 100);
    Assert.assertEquals("Expecting 2 more completion events for killed", 4, events.length);
    // 2 map task attempts which were killed above should be requested from
    // container allocator with the previous map task marked as failed. If
    // this happens allocator will request the container for this mapper from
    // RM at a higher priority of 5(i.e. with a priority equivalent to that of
    // a fail fast map).
    handler.waitForFailedMapContainerReqEvents(2);
    // all maps must be back to running
    app.waitForState(mapTask1, TaskState.RUNNING);
    app.waitForState(mapTask2, TaskState.RUNNING);
    Iterator<TaskAttempt> itr = mapTask1.getAttempts().values().iterator();
    itr.next();
    task1Attempt = itr.next();
    // send the done signal to the task
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task1Attempt.getID(), TaskAttemptEventType.TA_DONE));
    // map1 must be succeeded. map2 must be running
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    app.waitForState(mapTask2, TaskState.RUNNING);
    waitFor(new Supplier<Boolean>() {

        @Override
        public Boolean get() {
            TaskAttemptCompletionEvent[] events = job1.getTaskAttemptCompletionEvents(0, 100);
            return events.length == 5;
        }
    }, checkIntervalMillis, waitForMillis);
    events = job1.getTaskAttemptCompletionEvents(0, 100);
    Assert.assertEquals("Expecting 1 more completion events for success", 5, events.length);
    // Crash the app again.
    app.stop();
    // rerun
    // in rerun the 1st map will be recovered from previous run
    app = new MRAppWithHistory(2, 2, false, this.getClass().getName(), false, ++runCount, (Dispatcher) new AsyncDispatcher());
    conf = new Configuration();
    conf.setBoolean(MRJobConfig.MR_AM_JOB_RECOVERY_ENABLE, true);
    conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
    final Job job2 = app.submit(conf);
    app.waitForState(job2, JobState.RUNNING);
    Assert.assertEquals("No of tasks not correct", 4, job2.getTasks().size());
    it = job2.getTasks().values().iterator();
    mapTask1 = it.next();
    mapTask2 = it.next();
    Task reduceTask1 = it.next();
    Task reduceTask2 = it.next();
    // map 1 will be recovered, no need to send done
    app.waitForState(mapTask1, TaskState.SUCCEEDED);
    app.waitForState(mapTask2, TaskState.RUNNING);
    waitFor(new Supplier<Boolean>() {

        @Override
        public Boolean get() {
            TaskAttemptCompletionEvent[] events = job2.getTaskAttemptCompletionEvents(0, 100);
            return events.length == 2;
        }
    }, checkIntervalMillis, waitForMillis);
    events = job2.getTaskAttemptCompletionEvents(0, 100);
    Assert.assertEquals("Expecting 2 completion events for killed & success of map1", 2, events.length);
    task2Attempt = mapTask2.getAttempts().values().iterator().next();
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task2Attempt.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(mapTask2, TaskState.SUCCEEDED);
    waitFor(new Supplier<Boolean>() {

        @Override
        public Boolean get() {
            TaskAttemptCompletionEvent[] events = job2.getTaskAttemptCompletionEvents(0, 100);
            return events.length == 3;
        }
    }, checkIntervalMillis, waitForMillis);
    events = job2.getTaskAttemptCompletionEvents(0, 100);
    Assert.assertEquals("Expecting 1 more completion events for success", 3, events.length);
    app.waitForState(reduceTask1, TaskState.RUNNING);
    app.waitForState(reduceTask2, TaskState.RUNNING);
    TaskAttempt task3Attempt = reduceTask1.getAttempts().values().iterator().next();
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task3Attempt.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(reduceTask1, TaskState.SUCCEEDED);
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task3Attempt.getID(), TaskAttemptEventType.TA_KILL));
    app.waitForState(reduceTask1, TaskState.SUCCEEDED);
    TaskAttempt task4Attempt = reduceTask2.getAttempts().values().iterator().next();
    app.getContext().getEventHandler().handle(new TaskAttemptEvent(task4Attempt.getID(), TaskAttemptEventType.TA_DONE));
    app.waitForState(reduceTask2, TaskState.SUCCEEDED);
    waitFor(new Supplier<Boolean>() {

        @Override
        public Boolean get() {
            TaskAttemptCompletionEvent[] events = job2.getTaskAttemptCompletionEvents(0, 100);
            return events.length == 5;
        }
    }, checkIntervalMillis, waitForMillis);
    events = job2.getTaskAttemptCompletionEvents(0, 100);
    Assert.assertEquals("Expecting 2 more completion events for reduce success", 5, events.length);
    // job succeeds
    app.waitForState(job2, JobState.SUCCEEDED);
}