Java Code Examples for org.apache.hadoop.mapreduce.v2.app.job.Task#getAttempt()
The following examples show how to use
org.apache.hadoop.mapreduce.v2.app.job.Task#getAttempt() .
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Example 1
| Source File: LegacyTaskRuntimeEstimator.java From hadoop with Apache License 2.0 | 6 votes |
|
private long storedPerAttemptValue
(Map<TaskAttempt, AtomicLong> data, TaskAttemptId attemptID) {
TaskId taskID = attemptID.getTaskId();
JobId jobID = taskID.getJobId();
Job job = context.getJob(jobID);
Task task = job.getTask(taskID);
if (task == null) {
return -1L;
}
TaskAttempt taskAttempt = task.getAttempt(attemptID);
if (taskAttempt == null) {
return -1L;
}
AtomicLong estimate = data.get(taskAttempt);
return estimate == null ? -1L : estimate.get();
}
Example 2
| Source File: LegacyTaskRuntimeEstimator.java From big-c with Apache License 2.0 | 6 votes |
|
private long storedPerAttemptValue
(Map<TaskAttempt, AtomicLong> data, TaskAttemptId attemptID) {
TaskId taskID = attemptID.getTaskId();
JobId jobID = taskID.getJobId();
Job job = context.getJob(jobID);
Task task = job.getTask(taskID);
if (task == null) {
return -1L;
}
TaskAttempt taskAttempt = task.getAttempt(attemptID);
if (taskAttempt == null) {
return -1L;
}
AtomicLong estimate = data.get(taskAttempt);
return estimate == null ? -1L : estimate.get();
}
Example 3
| Source File: MRAppMaster.java From hadoop with Apache License 2.0 | 5 votes |
|
@SuppressWarnings("unchecked")
@Override
public void handle(TaskAttemptEvent event) {
Job job = context.getJob(event.getTaskAttemptID().getTaskId().getJobId());
Task task = job.getTask(event.getTaskAttemptID().getTaskId());
TaskAttempt attempt = task.getAttempt(event.getTaskAttemptID());
((EventHandler<TaskAttemptEvent>) attempt).handle(event);
}
Example 4
| Source File: TestJobHistoryEntities.java From hadoop with Apache License 2.0 | 5 votes |
|
@Test (timeout=10000)
public void testCompletedTaskAttempt() throws Exception {
HistoryFileInfo info = mock(HistoryFileInfo.class);
when(info.getConfFile()).thenReturn(fullConfPath);
completedJob =
new CompletedJob(conf, jobId, fullHistoryPath, loadTasks, "user",
info, jobAclsManager);
TaskId mt1Id = MRBuilderUtils.newTaskId(jobId, 0, TaskType.MAP);
TaskId rt1Id = MRBuilderUtils.newTaskId(jobId, 0, TaskType.REDUCE);
TaskAttemptId mta1Id = MRBuilderUtils.newTaskAttemptId(mt1Id, 0);
TaskAttemptId rta1Id = MRBuilderUtils.newTaskAttemptId(rt1Id, 0);
Task mt1 = completedJob.getTask(mt1Id);
Task rt1 = completedJob.getTask(rt1Id);
TaskAttempt mta1 = mt1.getAttempt(mta1Id);
assertEquals(TaskAttemptState.SUCCEEDED, mta1.getState());
assertEquals("localhost:45454", mta1.getAssignedContainerMgrAddress());
assertEquals("localhost:9999", mta1.getNodeHttpAddress());
TaskAttemptReport mta1Report = mta1.getReport();
assertEquals(TaskAttemptState.SUCCEEDED, mta1Report.getTaskAttemptState());
assertEquals("localhost", mta1Report.getNodeManagerHost());
assertEquals(45454, mta1Report.getNodeManagerPort());
assertEquals(9999, mta1Report.getNodeManagerHttpPort());
TaskAttempt rta1 = rt1.getAttempt(rta1Id);
assertEquals(TaskAttemptState.SUCCEEDED, rta1.getState());
assertEquals("localhost:45454", rta1.getAssignedContainerMgrAddress());
assertEquals("localhost:9999", rta1.getNodeHttpAddress());
TaskAttemptReport rta1Report = rta1.getReport();
assertEquals(TaskAttemptState.SUCCEEDED, rta1Report.getTaskAttemptState());
assertEquals("localhost", rta1Report.getNodeManagerHost());
assertEquals(45454, rta1Report.getNodeManagerPort());
assertEquals(9999, rta1Report.getNodeManagerHttpPort());
}
Example 5
| Source File: MRAppMaster.java From big-c with Apache License 2.0 | 5 votes |
|
@SuppressWarnings("unchecked")
@Override
public void handle(TaskAttemptEvent event) {
Job job = context.getJob(event.getTaskAttemptID().getTaskId().getJobId());
Task task = job.getTask(event.getTaskAttemptID().getTaskId());
TaskAttempt attempt = task.getAttempt(event.getTaskAttemptID());
((EventHandler<TaskAttemptEvent>) attempt).handle(event);
}
Example 6
| Source File: TestJobHistoryEntities.java From big-c with Apache License 2.0 | 5 votes |
|
@Test (timeout=10000)
public void testCompletedTaskAttempt() throws Exception {
HistoryFileInfo info = mock(HistoryFileInfo.class);
when(info.getConfFile()).thenReturn(fullConfPath);
completedJob =
new CompletedJob(conf, jobId, fullHistoryPath, loadTasks, "user",
info, jobAclsManager);
TaskId mt1Id = MRBuilderUtils.newTaskId(jobId, 0, TaskType.MAP);
TaskId rt1Id = MRBuilderUtils.newTaskId(jobId, 0, TaskType.REDUCE);
TaskAttemptId mta1Id = MRBuilderUtils.newTaskAttemptId(mt1Id, 0);
TaskAttemptId rta1Id = MRBuilderUtils.newTaskAttemptId(rt1Id, 0);
Task mt1 = completedJob.getTask(mt1Id);
Task rt1 = completedJob.getTask(rt1Id);
TaskAttempt mta1 = mt1.getAttempt(mta1Id);
assertEquals(TaskAttemptState.SUCCEEDED, mta1.getState());
assertEquals("localhost:45454", mta1.getAssignedContainerMgrAddress());
assertEquals("localhost:9999", mta1.getNodeHttpAddress());
TaskAttemptReport mta1Report = mta1.getReport();
assertEquals(TaskAttemptState.SUCCEEDED, mta1Report.getTaskAttemptState());
assertEquals("localhost", mta1Report.getNodeManagerHost());
assertEquals(45454, mta1Report.getNodeManagerPort());
assertEquals(9999, mta1Report.getNodeManagerHttpPort());
TaskAttempt rta1 = rt1.getAttempt(rta1Id);
assertEquals(TaskAttemptState.SUCCEEDED, rta1.getState());
assertEquals("localhost:45454", rta1.getAssignedContainerMgrAddress());
assertEquals("localhost:9999", rta1.getNodeHttpAddress());
TaskAttemptReport rta1Report = rta1.getReport();
assertEquals(TaskAttemptState.SUCCEEDED, rta1Report.getTaskAttemptState());
assertEquals("localhost", rta1Report.getNodeManagerHost());
assertEquals(45454, rta1Report.getNodeManagerPort());
assertEquals(9999, rta1Report.getNodeManagerHttpPort());
}
Example 7
| Source File: StartEndTimesBase.java From hadoop with Apache License 2.0 | 4 votes |
|
@Override
public void updateAttempt(TaskAttemptStatus status, long timestamp) {
TaskAttemptId attemptID = status.id;
TaskId taskID = attemptID.getTaskId();
JobId jobID = taskID.getJobId();
Job job = context.getJob(jobID);
if (job == null) {
return;
}
Task task = job.getTask(taskID);
if (task == null) {
return;
}
Long boxedStart = startTimes.get(attemptID);
long start = boxedStart == null ? Long.MIN_VALUE : boxedStart;
TaskAttempt taskAttempt = task.getAttempt(attemptID);
if (taskAttempt.getState() == TaskAttemptState.SUCCEEDED) {
boolean isNew = false;
// is this a new success?
synchronized (doneTasks) {
if (!doneTasks.contains(task)) {
doneTasks.add(task);
isNew = true;
}
}
// It's a new completion
// Note that if a task completes twice [because of a previous speculation
// and a race, or a success followed by loss of the machine with the
// local data] we only count the first one.
if (isNew) {
long finish = timestamp;
if (start > 1L && finish > 1L && start <= finish) {
long duration = finish - start;
DataStatistics statistics
= dataStatisticsForTask(taskID);
if (statistics != null) {
statistics.add(duration);
}
}
}
}
}
Example 8
| Source File: LegacyTaskRuntimeEstimator.java From hadoop with Apache License 2.0 | 4 votes |
|
@Override
public void updateAttempt(TaskAttemptStatus status, long timestamp) {
super.updateAttempt(status, timestamp);
TaskAttemptId attemptID = status.id;
TaskId taskID = attemptID.getTaskId();
JobId jobID = taskID.getJobId();
Job job = context.getJob(jobID);
if (job == null) {
return;
}
Task task = job.getTask(taskID);
if (task == null) {
return;
}
TaskAttempt taskAttempt = task.getAttempt(attemptID);
if (taskAttempt == null) {
return;
}
Long boxedStart = startTimes.get(attemptID);
long start = boxedStart == null ? Long.MIN_VALUE : boxedStart;
// We need to do two things.
// 1: If this is a completion, we accumulate statistics in the superclass
// 2: If this is not a completion, we learn more about it.
// This is not a completion, but we're cooking.
//
if (taskAttempt.getState() == TaskAttemptState.RUNNING) {
// See if this task is already in the registry
AtomicLong estimateContainer = attemptRuntimeEstimates.get(taskAttempt);
AtomicLong estimateVarianceContainer
= attemptRuntimeEstimateVariances.get(taskAttempt);
if (estimateContainer == null) {
if (attemptRuntimeEstimates.get(taskAttempt) == null) {
attemptRuntimeEstimates.put(taskAttempt, new AtomicLong());
estimateContainer = attemptRuntimeEstimates.get(taskAttempt);
}
}
if (estimateVarianceContainer == null) {
attemptRuntimeEstimateVariances.putIfAbsent(taskAttempt, new AtomicLong());
estimateVarianceContainer = attemptRuntimeEstimateVariances.get(taskAttempt);
}
long estimate = -1;
long varianceEstimate = -1;
// This code assumes that we'll never consider starting a third
// speculative task attempt if two are already running for this task
if (start > 0 && timestamp > start) {
estimate = (long) ((timestamp - start) / Math.max(0.0001, status.progress));
varianceEstimate = (long) (estimate * status.progress / 10);
}
if (estimateContainer != null) {
estimateContainer.set(estimate);
}
if (estimateVarianceContainer != null) {
estimateVarianceContainer.set(varianceEstimate);
}
}
}
Example 9
| Source File: JobImpl.java From hadoop with Apache License 2.0 | 4 votes |
|
@Override
public void transition(JobImpl job, JobEvent event) {
TaskAttemptCompletionEvent tce =
((JobTaskAttemptCompletedEvent) event).getCompletionEvent();
// Add the TaskAttemptCompletionEvent
//eventId is equal to index in the arraylist
tce.setEventId(job.taskAttemptCompletionEvents.size());
job.taskAttemptCompletionEvents.add(tce);
int mapEventIdx = -1;
if (TaskType.MAP.equals(tce.getAttemptId().getTaskId().getTaskType())) {
// we track map completions separately from task completions because
// - getMapAttemptCompletionEvents uses index ranges specific to maps
// - type converting the same events over and over is expensive
mapEventIdx = job.mapAttemptCompletionEvents.size();
job.mapAttemptCompletionEvents.add(TypeConverter.fromYarn(tce));
}
job.taskCompletionIdxToMapCompletionIdx.add(mapEventIdx);
TaskAttemptId attemptId = tce.getAttemptId();
TaskId taskId = attemptId.getTaskId();
//make the previous completion event as obsolete if it exists
Integer successEventNo =
job.successAttemptCompletionEventNoMap.remove(taskId);
if (successEventNo != null) {
TaskAttemptCompletionEvent successEvent =
job.taskAttemptCompletionEvents.get(successEventNo);
successEvent.setStatus(TaskAttemptCompletionEventStatus.OBSOLETE);
int mapCompletionIdx =
job.taskCompletionIdxToMapCompletionIdx.get(successEventNo);
if (mapCompletionIdx >= 0) {
// update the corresponding TaskCompletionEvent for the map
TaskCompletionEvent mapEvent =
job.mapAttemptCompletionEvents.get(mapCompletionIdx);
job.mapAttemptCompletionEvents.set(mapCompletionIdx,
new TaskCompletionEvent(mapEvent.getEventId(),
mapEvent.getTaskAttemptId(), mapEvent.idWithinJob(),
mapEvent.isMapTask(), TaskCompletionEvent.Status.OBSOLETE,
mapEvent.getTaskTrackerHttp()));
}
}
// if this attempt is not successful then why is the previous successful
// attempt being removed above - MAPREDUCE-4330
if (TaskAttemptCompletionEventStatus.SUCCEEDED.equals(tce.getStatus())) {
job.successAttemptCompletionEventNoMap.put(taskId, tce.getEventId());
// here we could have simply called Task.getSuccessfulAttempt() but
// the event that triggers this code is sent before
// Task.successfulAttempt is set and so there is no guarantee that it
// will be available now
Task task = job.tasks.get(taskId);
TaskAttempt attempt = task.getAttempt(attemptId);
NodeId nodeId = attempt.getNodeId();
assert (nodeId != null); // node must exist for a successful event
List<TaskAttemptId> taskAttemptIdList = job.nodesToSucceededTaskAttempts
.get(nodeId);
if (taskAttemptIdList == null) {
taskAttemptIdList = new ArrayList<TaskAttemptId>();
job.nodesToSucceededTaskAttempts.put(nodeId, taskAttemptIdList);
}
taskAttemptIdList.add(attempt.getID());
}
}
Example 10
| Source File: StartEndTimesBase.java From big-c with Apache License 2.0 | 4 votes |
|
@Override
public void updateAttempt(TaskAttemptStatus status, long timestamp) {
TaskAttemptId attemptID = status.id;
TaskId taskID = attemptID.getTaskId();
JobId jobID = taskID.getJobId();
Job job = context.getJob(jobID);
if (job == null) {
return;
}
Task task = job.getTask(taskID);
if (task == null) {
return;
}
Long boxedStart = startTimes.get(attemptID);
long start = boxedStart == null ? Long.MIN_VALUE : boxedStart;
TaskAttempt taskAttempt = task.getAttempt(attemptID);
if (taskAttempt.getState() == TaskAttemptState.SUCCEEDED) {
boolean isNew = false;
// is this a new success?
synchronized (doneTasks) {
if (!doneTasks.contains(task)) {
doneTasks.add(task);
isNew = true;
}
}
// It's a new completion
// Note that if a task completes twice [because of a previous speculation
// and a race, or a success followed by loss of the machine with the
// local data] we only count the first one.
if (isNew) {
long finish = timestamp;
if (start > 1L && finish > 1L && start <= finish) {
long duration = finish - start;
DataStatistics statistics
= dataStatisticsForTask(taskID);
if (statistics != null) {
statistics.add(duration);
}
}
}
}
}
Example 11
| Source File: LegacyTaskRuntimeEstimator.java From big-c with Apache License 2.0 | 4 votes |
|
@Override
public void updateAttempt(TaskAttemptStatus status, long timestamp) {
super.updateAttempt(status, timestamp);
TaskAttemptId attemptID = status.id;
TaskId taskID = attemptID.getTaskId();
JobId jobID = taskID.getJobId();
Job job = context.getJob(jobID);
if (job == null) {
return;
}
Task task = job.getTask(taskID);
if (task == null) {
return;
}
TaskAttempt taskAttempt = task.getAttempt(attemptID);
if (taskAttempt == null) {
return;
}
Long boxedStart = startTimes.get(attemptID);
long start = boxedStart == null ? Long.MIN_VALUE : boxedStart;
// We need to do two things.
// 1: If this is a completion, we accumulate statistics in the superclass
// 2: If this is not a completion, we learn more about it.
// This is not a completion, but we're cooking.
//
if (taskAttempt.getState() == TaskAttemptState.RUNNING) {
// See if this task is already in the registry
AtomicLong estimateContainer = attemptRuntimeEstimates.get(taskAttempt);
AtomicLong estimateVarianceContainer
= attemptRuntimeEstimateVariances.get(taskAttempt);
if (estimateContainer == null) {
if (attemptRuntimeEstimates.get(taskAttempt) == null) {
attemptRuntimeEstimates.put(taskAttempt, new AtomicLong());
estimateContainer = attemptRuntimeEstimates.get(taskAttempt);
}
}
if (estimateVarianceContainer == null) {
attemptRuntimeEstimateVariances.putIfAbsent(taskAttempt, new AtomicLong());
estimateVarianceContainer = attemptRuntimeEstimateVariances.get(taskAttempt);
}
long estimate = -1;
long varianceEstimate = -1;
// This code assumes that we'll never consider starting a third
// speculative task attempt if two are already running for this task
if (start > 0 && timestamp > start) {
estimate = (long) ((timestamp - start) / Math.max(0.0001, status.progress));
varianceEstimate = (long) (estimate * status.progress / 10);
}
if (estimateContainer != null) {
estimateContainer.set(estimate);
}
if (estimateVarianceContainer != null) {
estimateVarianceContainer.set(varianceEstimate);
}
}
}
Example 12
| Source File: JobImpl.java From big-c with Apache License 2.0 | 4 votes |
|
@Override
public void transition(JobImpl job, JobEvent event) {
TaskAttemptCompletionEvent tce =
((JobTaskAttemptCompletedEvent) event).getCompletionEvent();
// Add the TaskAttemptCompletionEvent
//eventId is equal to index in the arraylist
tce.setEventId(job.taskAttemptCompletionEvents.size());
job.taskAttemptCompletionEvents.add(tce);
int mapEventIdx = -1;
if (TaskType.MAP.equals(tce.getAttemptId().getTaskId().getTaskType())) {
// we track map completions separately from task completions because
// - getMapAttemptCompletionEvents uses index ranges specific to maps
// - type converting the same events over and over is expensive
mapEventIdx = job.mapAttemptCompletionEvents.size();
job.mapAttemptCompletionEvents.add(TypeConverter.fromYarn(tce));
}
job.taskCompletionIdxToMapCompletionIdx.add(mapEventIdx);
TaskAttemptId attemptId = tce.getAttemptId();
TaskId taskId = attemptId.getTaskId();
//make the previous completion event as obsolete if it exists
Integer successEventNo =
job.successAttemptCompletionEventNoMap.remove(taskId);
if (successEventNo != null) {
TaskAttemptCompletionEvent successEvent =
job.taskAttemptCompletionEvents.get(successEventNo);
successEvent.setStatus(TaskAttemptCompletionEventStatus.OBSOLETE);
int mapCompletionIdx =
job.taskCompletionIdxToMapCompletionIdx.get(successEventNo);
if (mapCompletionIdx >= 0) {
// update the corresponding TaskCompletionEvent for the map
TaskCompletionEvent mapEvent =
job.mapAttemptCompletionEvents.get(mapCompletionIdx);
job.mapAttemptCompletionEvents.set(mapCompletionIdx,
new TaskCompletionEvent(mapEvent.getEventId(),
mapEvent.getTaskAttemptId(), mapEvent.idWithinJob(),
mapEvent.isMapTask(), TaskCompletionEvent.Status.OBSOLETE,
mapEvent.getTaskTrackerHttp()));
}
}
// if this attempt is not successful then why is the previous successful
// attempt being removed above - MAPREDUCE-4330
if (TaskAttemptCompletionEventStatus.SUCCEEDED.equals(tce.getStatus())) {
job.successAttemptCompletionEventNoMap.put(taskId, tce.getEventId());
// here we could have simply called Task.getSuccessfulAttempt() but
// the event that triggers this code is sent before
// Task.successfulAttempt is set and so there is no guarantee that it
// will be available now
Task task = job.tasks.get(taskId);
TaskAttempt attempt = task.getAttempt(attemptId);
NodeId nodeId = attempt.getNodeId();
assert (nodeId != null); // node must exist for a successful event
List<TaskAttemptId> taskAttemptIdList = job.nodesToSucceededTaskAttempts
.get(nodeId);
if (taskAttemptIdList == null) {
taskAttemptIdList = new ArrayList<TaskAttemptId>();
job.nodesToSucceededTaskAttempts.put(nodeId, taskAttemptIdList);
}
taskAttemptIdList.add(attempt.getID());
}
}
