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

Example 11 with TaskAttemptListener

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

the class MRAppMaster method serviceInit.

@Override
protected void serviceInit(final Configuration conf) throws Exception {
    // create the job classloader if enabled
    createJobClassLoader(conf);
    conf.setBoolean(Dispatcher.DISPATCHER_EXIT_ON_ERROR_KEY, true);
    initJobCredentialsAndUGI(conf);
    dispatcher = createDispatcher();
    addIfService(dispatcher);
    taskAttemptFinishingMonitor = createTaskAttemptFinishingMonitor(dispatcher.getEventHandler());
    addIfService(taskAttemptFinishingMonitor);
    context = new RunningAppContext(conf, taskAttemptFinishingMonitor);
    // Job name is the same as the app name util we support DAG of jobs
    // for an app later
    appName = conf.get(MRJobConfig.JOB_NAME, "<missing app name>");
    conf.setInt(MRJobConfig.APPLICATION_ATTEMPT_ID, appAttemptID.getAttemptId());
    newApiCommitter = false;
    jobId = MRBuilderUtils.newJobId(appAttemptID.getApplicationId(), appAttemptID.getApplicationId().getId());
    int numReduceTasks = conf.getInt(MRJobConfig.NUM_REDUCES, 0);
    if ((numReduceTasks > 0 && conf.getBoolean("mapred.reducer.new-api", false)) || (numReduceTasks == 0 && conf.getBoolean("mapred.mapper.new-api", false))) {
        newApiCommitter = true;
        LOG.info("Using mapred newApiCommitter.");
    }
    boolean copyHistory = false;
    committer = createOutputCommitter(conf);
    try {
        String user = UserGroupInformation.getCurrentUser().getShortUserName();
        Path stagingDir = MRApps.getStagingAreaDir(conf, user);
        FileSystem fs = getFileSystem(conf);
        boolean stagingExists = fs.exists(stagingDir);
        Path startCommitFile = MRApps.getStartJobCommitFile(conf, user, jobId);
        boolean commitStarted = fs.exists(startCommitFile);
        Path endCommitSuccessFile = MRApps.getEndJobCommitSuccessFile(conf, user, jobId);
        boolean commitSuccess = fs.exists(endCommitSuccessFile);
        Path endCommitFailureFile = MRApps.getEndJobCommitFailureFile(conf, user, jobId);
        boolean commitFailure = fs.exists(endCommitFailureFile);
        if (!stagingExists) {
            isLastAMRetry = true;
            LOG.info("Attempt num: " + appAttemptID.getAttemptId() + " is last retry: " + isLastAMRetry + " because the staging dir doesn't exist.");
            errorHappenedShutDown = true;
            forcedState = JobStateInternal.ERROR;
            shutDownMessage = "Staging dir does not exist " + stagingDir;
            LOG.fatal(shutDownMessage);
        } else if (commitStarted) {
            //A commit was started so this is the last time, we just need to know
            // what result we will use to notify, and how we will unregister
            errorHappenedShutDown = true;
            isLastAMRetry = true;
            LOG.info("Attempt num: " + appAttemptID.getAttemptId() + " is last retry: " + isLastAMRetry + " because a commit was started.");
            copyHistory = true;
            if (commitSuccess) {
                shutDownMessage = "Job commit succeeded in a prior MRAppMaster attempt " + "before it crashed. Recovering.";
                forcedState = JobStateInternal.SUCCEEDED;
            } else if (commitFailure) {
                shutDownMessage = "Job commit failed in a prior MRAppMaster attempt " + "before it crashed. Not retrying.";
                forcedState = JobStateInternal.FAILED;
            } else {
                if (isCommitJobRepeatable()) {
                    // cleanup previous half done commits if committer supports
                    // repeatable job commit.
                    errorHappenedShutDown = false;
                    cleanupInterruptedCommit(conf, fs, startCommitFile);
                } else {
                    //The commit is still pending, commit error
                    shutDownMessage = "Job commit from a prior MRAppMaster attempt is " + "potentially in progress. Preventing multiple commit executions";
                    forcedState = JobStateInternal.ERROR;
                }
            }
        }
    } catch (IOException e) {
        throw new YarnRuntimeException("Error while initializing", e);
    }
    if (errorHappenedShutDown) {
        NoopEventHandler eater = new NoopEventHandler();
        //We do not have a JobEventDispatcher in this path
        dispatcher.register(JobEventType.class, eater);
        EventHandler<JobHistoryEvent> historyService = null;
        if (copyHistory) {
            historyService = createJobHistoryHandler(context);
            dispatcher.register(org.apache.hadoop.mapreduce.jobhistory.EventType.class, historyService);
        } else {
            dispatcher.register(org.apache.hadoop.mapreduce.jobhistory.EventType.class, eater);
        }
        if (copyHistory) {
            // Now that there's a FINISHING state for application on RM to give AMs
            // plenty of time to clean up after unregister it's safe to clean staging
            // directory after unregistering with RM. So, we start the staging-dir
            // cleaner BEFORE the ContainerAllocator so that on shut-down,
            // ContainerAllocator unregisters first and then the staging-dir cleaner
            // deletes staging directory.
            addService(createStagingDirCleaningService());
        }
        // service to allocate containers from RM (if non-uber) or to fake it (uber)
        containerAllocator = createContainerAllocator(null, context);
        addIfService(containerAllocator);
        dispatcher.register(ContainerAllocator.EventType.class, containerAllocator);
        if (copyHistory) {
            // Add the JobHistoryEventHandler last so that it is properly stopped first.
            // This will guarantee that all history-events are flushed before AM goes
            // ahead with shutdown.
            // Note: Even though JobHistoryEventHandler is started last, if any
            // component creates a JobHistoryEvent in the meanwhile, it will be just be
            // queued inside the JobHistoryEventHandler 
            addIfService(historyService);
            JobHistoryCopyService cpHist = new JobHistoryCopyService(appAttemptID, dispatcher.getEventHandler());
            addIfService(cpHist);
        }
    } else {
        //service to handle requests from JobClient
        clientService = createClientService(context);
        // Init ClientService separately so that we stop it separately, since this
        // service needs to wait some time before it stops so clients can know the
        // final states
        clientService.init(conf);
        containerAllocator = createContainerAllocator(clientService, context);
        //service to handle the output committer
        committerEventHandler = createCommitterEventHandler(context, committer);
        addIfService(committerEventHandler);
        //policy handling preemption requests from RM
        callWithJobClassLoader(conf, new Action<Void>() {

            public Void call(Configuration conf) {
                preemptionPolicy = createPreemptionPolicy(conf);
                preemptionPolicy.init(context);
                return null;
            }
        });
        //service to handle requests to TaskUmbilicalProtocol
        taskAttemptListener = createTaskAttemptListener(context, preemptionPolicy);
        addIfService(taskAttemptListener);
        //service to log job history events
        EventHandler<JobHistoryEvent> historyService = createJobHistoryHandler(context);
        dispatcher.register(org.apache.hadoop.mapreduce.jobhistory.EventType.class, historyService);
        this.jobEventDispatcher = new JobEventDispatcher();
        //register the event dispatchers
        dispatcher.register(JobEventType.class, jobEventDispatcher);
        dispatcher.register(TaskEventType.class, new TaskEventDispatcher());
        dispatcher.register(TaskAttemptEventType.class, new TaskAttemptEventDispatcher());
        dispatcher.register(CommitterEventType.class, committerEventHandler);
        if (conf.getBoolean(MRJobConfig.MAP_SPECULATIVE, false) || conf.getBoolean(MRJobConfig.REDUCE_SPECULATIVE, false)) {
            //optional service to speculate on task attempts' progress
            speculator = createSpeculator(conf, context);
            addIfService(speculator);
        }
        speculatorEventDispatcher = new SpeculatorEventDispatcher(conf);
        dispatcher.register(Speculator.EventType.class, speculatorEventDispatcher);
        // Now that there's a FINISHING state for application on RM to give AMs
        // plenty of time to clean up after unregister it's safe to clean staging
        // directory after unregistering with RM. So, we start the staging-dir
        // cleaner BEFORE the ContainerAllocator so that on shut-down,
        // ContainerAllocator unregisters first and then the staging-dir cleaner
        // deletes staging directory.
        addService(createStagingDirCleaningService());
        // service to allocate containers from RM (if non-uber) or to fake it (uber)
        addIfService(containerAllocator);
        dispatcher.register(ContainerAllocator.EventType.class, containerAllocator);
        // corresponding service to launch allocated containers via NodeManager
        containerLauncher = createContainerLauncher(context);
        addIfService(containerLauncher);
        dispatcher.register(ContainerLauncher.EventType.class, containerLauncher);
        // Add the JobHistoryEventHandler last so that it is properly stopped first.
        // This will guarantee that all history-events are flushed before AM goes
        // ahead with shutdown.
        // Note: Even though JobHistoryEventHandler is started last, if any
        // component creates a JobHistoryEvent in the meanwhile, it will be just be
        // queued inside the JobHistoryEventHandler 
        addIfService(historyService);
    }
    super.serviceInit(conf);
}

Example 12 with TaskAttemptListener

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

the class MRAppMaster method createJob.

/** Create and initialize (but don't start) a single job. 
   * @param forcedState a state to force the job into or null for normal operation. 
   * @param diagnostic a diagnostic message to include with the job.
   */
protected Job createJob(Configuration conf, JobStateInternal forcedState, String diagnostic) {
    // create single job
    Job newJob = new JobImpl(jobId, appAttemptID, conf, dispatcher.getEventHandler(), taskAttemptListener, jobTokenSecretManager, jobCredentials, clock, completedTasksFromPreviousRun, metrics, committer, newApiCommitter, currentUser.getUserName(), appSubmitTime, amInfos, context, forcedState, diagnostic);
    ((RunningAppContext) context).jobs.put(newJob.getID(), newJob);
    dispatcher.register(JobFinishEvent.Type.class, createJobFinishEventHandler());
    return newJob;
}

Example 13 with TaskAttemptListener

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

the class TestShuffleProvider method testShuffleProviders.

@Test
public void testShuffleProviders() throws Exception {
    ApplicationId appId = ApplicationId.newInstance(1, 1);
    JobId jobId = MRBuilderUtils.newJobId(appId, 1);
    TaskId taskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.MAP);
    Path jobFile = mock(Path.class);
    EventHandler eventHandler = mock(EventHandler.class);
    TaskAttemptListener taListener = mock(TaskAttemptListener.class);
    when(taListener.getAddress()).thenReturn(new InetSocketAddress("localhost", 0));
    JobConf jobConf = new JobConf();
    jobConf.setClass("fs.file.impl", StubbedFS.class, FileSystem.class);
    jobConf.setBoolean("fs.file.impl.disable.cache", true);
    jobConf.set(JobConf.MAPRED_MAP_TASK_ENV, "");
    jobConf.set(YarnConfiguration.NM_AUX_SERVICES, TestShuffleHandler1.MAPREDUCE_TEST_SHUFFLE_SERVICEID + "," + TestShuffleHandler2.MAPREDUCE_TEST_SHUFFLE_SERVICEID);
    String serviceName = TestShuffleHandler1.MAPREDUCE_TEST_SHUFFLE_SERVICEID;
    String serviceStr = String.format(YarnConfiguration.NM_AUX_SERVICE_FMT, serviceName);
    jobConf.set(serviceStr, TestShuffleHandler1.class.getName());
    serviceName = TestShuffleHandler2.MAPREDUCE_TEST_SHUFFLE_SERVICEID;
    serviceStr = String.format(YarnConfiguration.NM_AUX_SERVICE_FMT, serviceName);
    jobConf.set(serviceStr, TestShuffleHandler2.class.getName());
    jobConf.set(MRJobConfig.MAPREDUCE_JOB_SHUFFLE_PROVIDER_SERVICES, TestShuffleHandler1.MAPREDUCE_TEST_SHUFFLE_SERVICEID + "," + TestShuffleHandler2.MAPREDUCE_TEST_SHUFFLE_SERVICEID);
    Credentials credentials = new Credentials();
    Token<JobTokenIdentifier> jobToken = new Token<JobTokenIdentifier>(("tokenid").getBytes(), ("tokenpw").getBytes(), new Text("tokenkind"), new Text("tokenservice"));
    TaskAttemptImpl taImpl = new MapTaskAttemptImpl(taskId, 1, eventHandler, jobFile, 1, mock(TaskSplitMetaInfo.class), jobConf, taListener, jobToken, credentials, SystemClock.getInstance(), null);
    jobConf.set(MRJobConfig.APPLICATION_ATTEMPT_ID, taImpl.getID().toString());
    ContainerLaunchContext launchCtx = TaskAttemptImpl.createContainerLaunchContext(null, jobConf, jobToken, taImpl.createRemoteTask(), TypeConverter.fromYarn(jobId), mock(WrappedJvmID.class), taListener, credentials);
    Map<String, ByteBuffer> serviceDataMap = launchCtx.getServiceData();
    Assert.assertNotNull("TestShuffleHandler1 is missing", serviceDataMap.get(TestShuffleHandler1.MAPREDUCE_TEST_SHUFFLE_SERVICEID));
    Assert.assertNotNull("TestShuffleHandler2 is missing", serviceDataMap.get(TestShuffleHandler2.MAPREDUCE_TEST_SHUFFLE_SERVICEID));
    // 2 that we entered + 1 for the built-in shuffle-provider
    Assert.assertTrue("mismatch number of services in map", serviceDataMap.size() == 3);
}

Example 14 with TaskAttemptListener

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

the class TestTaskAttempt method testTooManyFetchFailureAfterKill.

@Test
public void testTooManyFetchFailureAfterKill() throws Exception {
    ApplicationId appId = ApplicationId.newInstance(1, 2);
    ApplicationAttemptId appAttemptId = ApplicationAttemptId.newInstance(appId, 0);
    JobId jobId = MRBuilderUtils.newJobId(appId, 1);
    TaskId taskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.MAP);
    TaskAttemptId attemptId = MRBuilderUtils.newTaskAttemptId(taskId, 0);
    Path jobFile = mock(Path.class);
    MockEventHandler eventHandler = new MockEventHandler();
    TaskAttemptListener taListener = mock(TaskAttemptListener.class);
    when(taListener.getAddress()).thenReturn(new InetSocketAddress("localhost", 0));
    JobConf jobConf = new JobConf();
    jobConf.setClass("fs.file.impl", StubbedFS.class, FileSystem.class);
    jobConf.setBoolean("fs.file.impl.disable.cache", true);
    jobConf.set(JobConf.MAPRED_MAP_TASK_ENV, "");
    jobConf.set(MRJobConfig.APPLICATION_ATTEMPT_ID, "10");
    TaskSplitMetaInfo splits = mock(TaskSplitMetaInfo.class);
    when(splits.getLocations()).thenReturn(new String[] { "127.0.0.1" });
    AppContext appCtx = mock(AppContext.class);
    ClusterInfo clusterInfo = mock(ClusterInfo.class);
    Resource resource = mock(Resource.class);
    when(appCtx.getClusterInfo()).thenReturn(clusterInfo);
    when(resource.getMemorySize()).thenReturn(1024L);
    setupTaskAttemptFinishingMonitor(eventHandler, jobConf, appCtx);
    TaskAttemptImpl taImpl = new MapTaskAttemptImpl(taskId, 1, eventHandler, jobFile, 1, splits, jobConf, taListener, mock(Token.class), new Credentials(), SystemClock.getInstance(), appCtx);
    NodeId nid = NodeId.newInstance("127.0.0.1", 0);
    ContainerId contId = ContainerId.newContainerId(appAttemptId, 3);
    Container container = mock(Container.class);
    when(container.getId()).thenReturn(contId);
    when(container.getNodeId()).thenReturn(nid);
    when(container.getNodeHttpAddress()).thenReturn("localhost:0");
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_SCHEDULE));
    taImpl.handle(new TaskAttemptContainerAssignedEvent(attemptId, container, mock(Map.class)));
    taImpl.handle(new TaskAttemptContainerLaunchedEvent(attemptId, 0));
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_DONE));
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_CONTAINER_COMPLETED));
    assertEquals("Task attempt is not in succeeded state", taImpl.getState(), TaskAttemptState.SUCCEEDED);
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_KILL));
    assertEquals("Task attempt is not in KILLED state", taImpl.getState(), TaskAttemptState.KILLED);
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
    assertEquals("Task attempt is not in KILLED state, still", taImpl.getState(), TaskAttemptState.KILLED);
    assertFalse("InternalError occurred trying to handle TA_CONTAINER_CLEANED", eventHandler.internalError);
}

Example 15 with TaskAttemptListener

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

the class TestTaskAttempt method testDoubleTooManyFetchFailure.

@Test
public void testDoubleTooManyFetchFailure() throws Exception {
    ApplicationId appId = ApplicationId.newInstance(1, 2);
    ApplicationAttemptId appAttemptId = ApplicationAttemptId.newInstance(appId, 0);
    JobId jobId = MRBuilderUtils.newJobId(appId, 1);
    TaskId taskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.MAP);
    TaskAttemptId attemptId = MRBuilderUtils.newTaskAttemptId(taskId, 0);
    TaskId reduceTaskId = MRBuilderUtils.newTaskId(jobId, 1, TaskType.REDUCE);
    TaskAttemptId reduceTAId = MRBuilderUtils.newTaskAttemptId(reduceTaskId, 0);
    Path jobFile = mock(Path.class);
    MockEventHandler eventHandler = new MockEventHandler();
    TaskAttemptListener taListener = mock(TaskAttemptListener.class);
    when(taListener.getAddress()).thenReturn(new InetSocketAddress("localhost", 0));
    JobConf jobConf = new JobConf();
    jobConf.setClass("fs.file.impl", StubbedFS.class, FileSystem.class);
    jobConf.setBoolean("fs.file.impl.disable.cache", true);
    jobConf.set(JobConf.MAPRED_MAP_TASK_ENV, "");
    jobConf.set(MRJobConfig.APPLICATION_ATTEMPT_ID, "10");
    TaskSplitMetaInfo splits = mock(TaskSplitMetaInfo.class);
    when(splits.getLocations()).thenReturn(new String[] { "127.0.0.1" });
    AppContext appCtx = mock(AppContext.class);
    ClusterInfo clusterInfo = mock(ClusterInfo.class);
    Resource resource = mock(Resource.class);
    when(appCtx.getClusterInfo()).thenReturn(clusterInfo);
    when(resource.getMemorySize()).thenReturn(1024L);
    setupTaskAttemptFinishingMonitor(eventHandler, jobConf, appCtx);
    TaskAttemptImpl taImpl = new MapTaskAttemptImpl(taskId, 1, eventHandler, jobFile, 1, splits, jobConf, taListener, new Token(), new Credentials(), SystemClock.getInstance(), appCtx);
    NodeId nid = NodeId.newInstance("127.0.0.1", 0);
    ContainerId contId = ContainerId.newContainerId(appAttemptId, 3);
    Container container = mock(Container.class);
    when(container.getId()).thenReturn(contId);
    when(container.getNodeId()).thenReturn(nid);
    when(container.getNodeHttpAddress()).thenReturn("localhost:0");
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_SCHEDULE));
    taImpl.handle(new TaskAttemptContainerAssignedEvent(attemptId, container, mock(Map.class)));
    taImpl.handle(new TaskAttemptContainerLaunchedEvent(attemptId, 0));
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_DONE));
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_CONTAINER_COMPLETED));
    assertEquals("Task attempt is not in succeeded state", taImpl.getState(), TaskAttemptState.SUCCEEDED);
    taImpl.handle(new TaskAttemptTooManyFetchFailureEvent(attemptId, reduceTAId, "Host"));
    assertEquals("Task attempt is not in FAILED state", taImpl.getState(), TaskAttemptState.FAILED);
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_TOO_MANY_FETCH_FAILURE));
    assertEquals("Task attempt is not in FAILED state, still", taImpl.getState(), TaskAttemptState.FAILED);
    assertFalse("InternalError occurred trying to handle TA_CONTAINER_CLEANED", eventHandler.internalError);
}