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

Example 6 with TaskAttemptContainerLaunchedEvent

use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptContainerLaunchedEvent 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 7 with TaskAttemptContainerLaunchedEvent

use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptContainerLaunchedEvent 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);
}

Example 8 with TaskAttemptContainerLaunchedEvent

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

the class TestTaskAttempt method createTaskAttemptImpl.

private TaskAttemptImpl createTaskAttemptImpl(MockEventHandler eventHandler) {
    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);
    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);
    when(appCtx.getClusterInfo()).thenReturn(clusterInfo);
    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.newInstance(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));
    return taImpl;
}

Example 9 with TaskAttemptContainerLaunchedEvent

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

the class TestTaskAttempt method testContainerCleanedWhileCommitting.

@Test
public void testContainerCleanedWhileCommitting() 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[] {});
    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_COMMIT_PENDING));
    assertEquals("Task attempt is not in commit pending state", taImpl.getState(), TaskAttemptState.COMMIT_PENDING);
    taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_CONTAINER_CLEANED));
    assertFalse("InternalError occurred trying to handle TA_CONTAINER_CLEANED", eventHandler.internalError);
    assertEquals("Task attempt is assigned locally", Locality.OFF_SWITCH, taImpl.getLocality());
}