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Example 16 with MRAppWithHistory

use of org.apache.hadoop.mapreduce.v2.hs.TestJobHistoryEvents.MRAppWithHistory 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());
}
Also used : Task(org.apache.hadoop.mapreduce.v2.app.job.Task) Configuration(org.apache.hadoop.conf.Configuration) TaskAttemptEvent(org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent) TaskAttemptContainerLaunchedEvent(org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptContainerLaunchedEvent) AMInfo(org.apache.hadoop.mapreduce.v2.api.records.AMInfo) ContainerId(org.apache.hadoop.yarn.api.records.ContainerId) JobTaskEvent(org.apache.hadoop.mapreduce.v2.app.job.event.JobTaskEvent) TaskEvent(org.apache.hadoop.mapreduce.v2.app.job.event.TaskEvent) TaskAttempt(org.apache.hadoop.mapreduce.v2.app.job.TaskAttempt) Job(org.apache.hadoop.mapreduce.v2.app.job.Job) Test(org.junit.Test)

Example 17 with MRAppWithHistory

use of org.apache.hadoop.mapreduce.v2.hs.TestJobHistoryEvents.MRAppWithHistory 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);
}
Also used : Task(org.apache.hadoop.mapreduce.v2.app.job.Task) Configuration(org.apache.hadoop.conf.Configuration) ArrayList(java.util.ArrayList) TaskAttemptEvent(org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent) AsyncDispatcher(org.apache.hadoop.yarn.event.AsyncDispatcher) Dispatcher(org.apache.hadoop.yarn.event.Dispatcher) TaskAttemptCompletionEvent(org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptCompletionEvent) ContainerAllocator(org.apache.hadoop.mapreduce.v2.app.rm.ContainerAllocator) AsyncDispatcher(org.apache.hadoop.yarn.event.AsyncDispatcher) NodeId(org.apache.hadoop.yarn.api.records.NodeId) TaskAttempt(org.apache.hadoop.mapreduce.v2.app.job.TaskAttempt) Job(org.apache.hadoop.mapreduce.v2.app.job.Job) JobUpdatedNodesEvent(org.apache.hadoop.mapreduce.v2.app.job.event.JobUpdatedNodesEvent) NodeReport(org.apache.hadoop.yarn.api.records.NodeReport) Test(org.junit.Test)

Example 18 with MRAppWithHistory

use of org.apache.hadoop.mapreduce.v2.hs.TestJobHistoryEvents.MRAppWithHistory in project hadoop by apache.

the class TestJobHistoryServer method testReports.

//Test reports of  JobHistoryServer. History server should get log files from  MRApp and read them
@Test(timeout = 50000)
public void testReports() throws Exception {
    Configuration config = new Configuration();
    config.setClass(CommonConfigurationKeysPublic.NET_TOPOLOGY_NODE_SWITCH_MAPPING_IMPL_KEY, MyResolver.class, DNSToSwitchMapping.class);
    RackResolver.init(config);
    MRApp app = new MRAppWithHistory(1, 1, true, this.getClass().getName(), true);
    app.submit(config);
    Job job = app.getContext().getAllJobs().values().iterator().next();
    app.waitForState(job, JobState.SUCCEEDED);
    historyServer = new JobHistoryServer();
    historyServer.init(config);
    historyServer.start();
    // search JobHistory  service
    JobHistory jobHistory = null;
    for (Service service : historyServer.getServices()) {
        if (service instanceof JobHistory) {
            jobHistory = (JobHistory) service;
        }
    }
    ;
    Map<JobId, Job> jobs = jobHistory.getAllJobs();
    assertEquals(1, jobs.size());
    assertEquals("job_0_0000", jobs.keySet().iterator().next().toString());
    Task task = job.getTasks().values().iterator().next();
    TaskAttempt attempt = task.getAttempts().values().iterator().next();
    HistoryClientService historyService = historyServer.getClientService();
    MRClientProtocol protocol = historyService.getClientHandler();
    GetTaskAttemptReportRequest gtarRequest = recordFactory.newRecordInstance(GetTaskAttemptReportRequest.class);
    // test getTaskAttemptReport
    TaskAttemptId taId = attempt.getID();
    taId.setTaskId(task.getID());
    taId.getTaskId().setJobId(job.getID());
    gtarRequest.setTaskAttemptId(taId);
    GetTaskAttemptReportResponse response = protocol.getTaskAttemptReport(gtarRequest);
    assertEquals("container_0_0000_01_000000", response.getTaskAttemptReport().getContainerId().toString());
    assertTrue(response.getTaskAttemptReport().getDiagnosticInfo().isEmpty());
    // counters
    assertNotNull(response.getTaskAttemptReport().getCounters().getCounter(TaskCounter.PHYSICAL_MEMORY_BYTES));
    assertEquals(taId.toString(), response.getTaskAttemptReport().getTaskAttemptId().toString());
    // test getTaskReport
    GetTaskReportRequest request = recordFactory.newRecordInstance(GetTaskReportRequest.class);
    TaskId taskId = task.getID();
    taskId.setJobId(job.getID());
    request.setTaskId(taskId);
    GetTaskReportResponse reportResponse = protocol.getTaskReport(request);
    assertEquals("", reportResponse.getTaskReport().getDiagnosticsList().iterator().next());
    // progress
    assertEquals(1.0f, reportResponse.getTaskReport().getProgress(), 0.01);
    // report has corrected taskId
    assertEquals(taskId.toString(), reportResponse.getTaskReport().getTaskId().toString());
    // Task state should be SUCCEEDED
    assertEquals(TaskState.SUCCEEDED, reportResponse.getTaskReport().getTaskState());
    // For invalid jobid, throw IOException
    GetTaskReportsRequest gtreportsRequest = recordFactory.newRecordInstance(GetTaskReportsRequest.class);
    gtreportsRequest.setJobId(TypeConverter.toYarn(JobID.forName("job_1415730144495_0001")));
    gtreportsRequest.setTaskType(TaskType.REDUCE);
    try {
        protocol.getTaskReports(gtreportsRequest);
        fail("IOException not thrown for invalid job id");
    } catch (IOException e) {
    // Expected
    }
    // test getTaskAttemptCompletionEvents
    GetTaskAttemptCompletionEventsRequest taskAttemptRequest = recordFactory.newRecordInstance(GetTaskAttemptCompletionEventsRequest.class);
    taskAttemptRequest.setJobId(job.getID());
    GetTaskAttemptCompletionEventsResponse taskAttemptCompletionEventsResponse = protocol.getTaskAttemptCompletionEvents(taskAttemptRequest);
    assertEquals(0, taskAttemptCompletionEventsResponse.getCompletionEventCount());
    // test getDiagnostics
    GetDiagnosticsRequest diagnosticRequest = recordFactory.newRecordInstance(GetDiagnosticsRequest.class);
    diagnosticRequest.setTaskAttemptId(taId);
    GetDiagnosticsResponse diagnosticResponse = protocol.getDiagnostics(diagnosticRequest);
    // it is strange : why one empty string ?
    assertEquals(1, diagnosticResponse.getDiagnosticsCount());
    assertEquals("", diagnosticResponse.getDiagnostics(0));
}
Also used : MRAppWithHistory(org.apache.hadoop.mapreduce.v2.hs.TestJobHistoryEvents.MRAppWithHistory) Task(org.apache.hadoop.mapreduce.v2.app.job.Task) TaskId(org.apache.hadoop.mapreduce.v2.api.records.TaskId) Configuration(org.apache.hadoop.conf.Configuration) GetTaskAttemptReportRequest(org.apache.hadoop.mapreduce.v2.api.protocolrecords.GetTaskAttemptReportRequest) GetTaskReportResponse(org.apache.hadoop.mapreduce.v2.api.protocolrecords.GetTaskReportResponse) GetDiagnosticsResponse(org.apache.hadoop.mapreduce.v2.api.protocolrecords.GetDiagnosticsResponse) MRClientProtocol(org.apache.hadoop.mapreduce.v2.api.MRClientProtocol) GetTaskAttemptReportResponse(org.apache.hadoop.mapreduce.v2.api.protocolrecords.GetTaskAttemptReportResponse) GetTaskReportRequest(org.apache.hadoop.mapreduce.v2.api.protocolrecords.GetTaskReportRequest) GetTaskAttemptCompletionEventsRequest(org.apache.hadoop.mapreduce.v2.api.protocolrecords.GetTaskAttemptCompletionEventsRequest) TaskAttempt(org.apache.hadoop.mapreduce.v2.app.job.TaskAttempt) GetDiagnosticsRequest(org.apache.hadoop.mapreduce.v2.api.protocolrecords.GetDiagnosticsRequest) Job(org.apache.hadoop.mapreduce.v2.app.job.Job) JobId(org.apache.hadoop.mapreduce.v2.api.records.JobId) MRApp(org.apache.hadoop.mapreduce.v2.app.MRApp) TaskAttemptId(org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId) Service(org.apache.hadoop.service.Service) IOException(java.io.IOException) GetTaskAttemptCompletionEventsResponse(org.apache.hadoop.mapreduce.v2.api.protocolrecords.GetTaskAttemptCompletionEventsResponse) GetTaskReportsRequest(org.apache.hadoop.mapreduce.v2.api.protocolrecords.GetTaskReportsRequest) Test(org.junit.Test)

Example 19 with MRAppWithHistory

use of org.apache.hadoop.mapreduce.v2.hs.TestJobHistoryEvents.MRAppWithHistory in project hadoop by apache.

the class TestJobHistoryEvents method testAssignedQueue.

@Test
public void testAssignedQueue() throws Exception {
    Configuration conf = new Configuration();
    MRApp app = new MRAppWithHistory(2, 1, true, this.getClass().getName(), true, "assignedQueue");
    app.submit(conf);
    Job job = app.getContext().getAllJobs().values().iterator().next();
    JobId jobId = job.getID();
    LOG.info("JOBID is " + TypeConverter.fromYarn(jobId).toString());
    app.waitForState(job, JobState.SUCCEEDED);
    //make sure all events are flushed 
    app.waitForState(Service.STATE.STOPPED);
    /*
     * Use HistoryContext to read logged events and verify the number of 
     * completed maps 
    */
    HistoryContext context = new JobHistory();
    // test start and stop states
    ((JobHistory) context).init(conf);
    ((JobHistory) context).start();
    Assert.assertTrue(context.getStartTime() > 0);
    Assert.assertEquals(((JobHistory) context).getServiceState(), Service.STATE.STARTED);
    // get job before stopping JobHistory
    Job parsedJob = context.getJob(jobId);
    // stop JobHistory
    ((JobHistory) context).stop();
    Assert.assertEquals(((JobHistory) context).getServiceState(), Service.STATE.STOPPED);
    Assert.assertEquals("QueueName not correct", "assignedQueue", parsedJob.getQueueName());
}
Also used : Configuration(org.apache.hadoop.conf.Configuration) Job(org.apache.hadoop.mapreduce.v2.app.job.Job) JobId(org.apache.hadoop.mapreduce.v2.api.records.JobId) MRApp(org.apache.hadoop.mapreduce.v2.app.MRApp) Test(org.junit.Test)

Example 20 with MRAppWithHistory

use of org.apache.hadoop.mapreduce.v2.hs.TestJobHistoryEvents.MRAppWithHistory in project hadoop by apache.

the class TestJobHistoryEvents method testHistoryEvents.

@Test
public void testHistoryEvents() throws Exception {
    Configuration conf = new Configuration();
    MRApp app = new MRAppWithHistory(2, 1, true, this.getClass().getName(), true);
    app.submit(conf);
    Job job = app.getContext().getAllJobs().values().iterator().next();
    JobId jobId = job.getID();
    LOG.info("JOBID is " + TypeConverter.fromYarn(jobId).toString());
    app.waitForState(job, JobState.SUCCEEDED);
    //make sure all events are flushed 
    app.waitForState(Service.STATE.STOPPED);
    /*
     * Use HistoryContext to read logged events and verify the number of 
     * completed maps 
    */
    HistoryContext context = new JobHistory();
    // test start and stop states
    ((JobHistory) context).init(conf);
    ((JobHistory) context).start();
    Assert.assertTrue(context.getStartTime() > 0);
    Assert.assertEquals(((JobHistory) context).getServiceState(), Service.STATE.STARTED);
    // get job before stopping JobHistory
    Job parsedJob = context.getJob(jobId);
    // stop JobHistory
    ((JobHistory) context).stop();
    Assert.assertEquals(((JobHistory) context).getServiceState(), Service.STATE.STOPPED);
    Assert.assertEquals("CompletedMaps not correct", 2, parsedJob.getCompletedMaps());
    Assert.assertEquals(System.getProperty("user.name"), parsedJob.getUserName());
    Map<TaskId, Task> tasks = parsedJob.getTasks();
    Assert.assertEquals("No of tasks not correct", 3, tasks.size());
    for (Task task : tasks.values()) {
        verifyTask(task);
    }
    Map<TaskId, Task> maps = parsedJob.getTasks(TaskType.MAP);
    Assert.assertEquals("No of maps not correct", 2, maps.size());
    Map<TaskId, Task> reduces = parsedJob.getTasks(TaskType.REDUCE);
    Assert.assertEquals("No of reduces not correct", 1, reduces.size());
    Assert.assertEquals("CompletedReduce not correct", 1, parsedJob.getCompletedReduces());
    Assert.assertEquals("Job state not currect", JobState.SUCCEEDED, parsedJob.getState());
}
Also used : Task(org.apache.hadoop.mapreduce.v2.app.job.Task) TaskId(org.apache.hadoop.mapreduce.v2.api.records.TaskId) Configuration(org.apache.hadoop.conf.Configuration) Job(org.apache.hadoop.mapreduce.v2.app.job.Job) JobId(org.apache.hadoop.mapreduce.v2.api.records.JobId) MRApp(org.apache.hadoop.mapreduce.v2.app.MRApp) Test(org.junit.Test)

Aggregations

Configuration (org.apache.hadoop.conf.Configuration)20 Job (org.apache.hadoop.mapreduce.v2.app.job.Job)20 Test (org.junit.Test)19 Task (org.apache.hadoop.mapreduce.v2.app.job.Task)16 TaskAttempt (org.apache.hadoop.mapreduce.v2.app.job.TaskAttempt)15 TaskAttemptEvent (org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent)12 JobId (org.apache.hadoop.mapreduce.v2.api.records.JobId)7 MRApp (org.apache.hadoop.mapreduce.v2.app.MRApp)7 MRAppWithHistory (org.apache.hadoop.mapreduce.v2.hs.TestJobHistoryEvents.MRAppWithHistory)5 AMInfo (org.apache.hadoop.mapreduce.v2.api.records.AMInfo)3 HistoryFileInfo (org.apache.hadoop.mapreduce.v2.hs.HistoryFileManager.HistoryFileInfo)3 IOException (java.io.IOException)2 TaskAttemptCompletionEvent (org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptCompletionEvent)2 TaskId (org.apache.hadoop.mapreduce.v2.api.records.TaskId)2 ContainerId (org.apache.hadoop.yarn.api.records.ContainerId)2 PrintStream (java.io.PrintStream)1 ArrayList (java.util.ArrayList)1 HashMap (java.util.HashMap)1 StringTokenizer (java.util.StringTokenizer)1 AtomicInteger (java.util.concurrent.atomic.AtomicInteger)1