use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class TestSpeculativeExecutionWithMRApp method testSepculateSuccessfulWithUpdateEvents.
@Test
public void testSepculateSuccessfulWithUpdateEvents() throws Exception {
Clock actualClock = SystemClock.getInstance();
final ControlledClock clock = new ControlledClock(actualClock);
clock.setTime(System.currentTimeMillis());
MRApp app = new MRApp(NUM_MAPPERS, NUM_REDUCERS, false, "test", true, clock);
Job job = app.submit(new Configuration(), true, true);
app.waitForState(job, JobState.RUNNING);
Map<TaskId, Task> tasks = job.getTasks();
Assert.assertEquals("Num tasks is not correct", NUM_MAPPERS + NUM_REDUCERS, tasks.size());
Iterator<Task> taskIter = tasks.values().iterator();
while (taskIter.hasNext()) {
app.waitForState(taskIter.next(), TaskState.RUNNING);
}
// Process the update events
clock.setTime(System.currentTimeMillis() + 1000);
EventHandler appEventHandler = app.getContext().getEventHandler();
for (Map.Entry<TaskId, Task> mapTask : tasks.entrySet()) {
for (Map.Entry<TaskAttemptId, TaskAttempt> taskAttempt : mapTask.getValue().getAttempts().entrySet()) {
TaskAttemptStatus status = createTaskAttemptStatus(taskAttempt.getKey(), (float) 0.5, TaskAttemptState.RUNNING);
TaskAttemptStatusUpdateEvent event = new TaskAttemptStatusUpdateEvent(taskAttempt.getKey(), status);
appEventHandler.handle(event);
}
}
Task speculatedTask = null;
int numTasksToFinish = NUM_MAPPERS + NUM_REDUCERS - 1;
clock.setTime(System.currentTimeMillis() + 1000);
for (Map.Entry<TaskId, Task> task : tasks.entrySet()) {
for (Map.Entry<TaskAttemptId, TaskAttempt> taskAttempt : task.getValue().getAttempts().entrySet()) {
if (numTasksToFinish > 0) {
appEventHandler.handle(new TaskAttemptEvent(taskAttempt.getKey(), TaskAttemptEventType.TA_DONE));
appEventHandler.handle(new TaskAttemptEvent(taskAttempt.getKey(), TaskAttemptEventType.TA_CONTAINER_COMPLETED));
numTasksToFinish--;
app.waitForState(taskAttempt.getValue(), TaskAttemptState.SUCCEEDED);
} else {
// The last task is chosen for speculation
TaskAttemptStatus status = createTaskAttemptStatus(taskAttempt.getKey(), (float) 0.75, TaskAttemptState.RUNNING);
speculatedTask = task.getValue();
TaskAttemptStatusUpdateEvent event = new TaskAttemptStatusUpdateEvent(taskAttempt.getKey(), status);
appEventHandler.handle(event);
}
}
}
clock.setTime(System.currentTimeMillis() + 15000);
for (Map.Entry<TaskId, Task> task : tasks.entrySet()) {
for (Map.Entry<TaskAttemptId, TaskAttempt> taskAttempt : task.getValue().getAttempts().entrySet()) {
if (taskAttempt.getValue().getState() != TaskAttemptState.SUCCEEDED) {
TaskAttemptStatus status = createTaskAttemptStatus(taskAttempt.getKey(), (float) 0.75, TaskAttemptState.RUNNING);
TaskAttemptStatusUpdateEvent event = new TaskAttemptStatusUpdateEvent(taskAttempt.getKey(), status);
appEventHandler.handle(event);
}
}
}
final Task speculatedTaskConst = speculatedTask;
GenericTestUtils.waitFor(new Supplier<Boolean>() {
@Override
public Boolean get() {
if (speculatedTaskConst.getAttempts().size() != 2) {
clock.setTime(System.currentTimeMillis() + 1000);
return false;
} else {
return true;
}
}
}, 1000, 60000);
TaskAttempt[] ta = makeFirstAttemptWin(appEventHandler, speculatedTask);
verifySpeculationMessage(app, ta);
app.waitForState(Service.STATE.STOPPED);
}
use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class TestSpeculativeExecutionWithMRApp method makeFirstAttemptWin.
private static TaskAttempt[] makeFirstAttemptWin(EventHandler appEventHandler, Task speculatedTask) {
// finish 1st TA, 2nd will be killed
Collection<TaskAttempt> attempts = speculatedTask.getAttempts().values();
TaskAttempt[] ta = new TaskAttempt[attempts.size()];
attempts.toArray(ta);
appEventHandler.handle(new TaskAttemptEvent(ta[0].getID(), TaskAttemptEventType.TA_DONE));
appEventHandler.handle(new TaskAttemptEvent(ta[0].getID(), TaskAttemptEventType.TA_CONTAINER_COMPLETED));
return ta;
}
use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class TaskAttemptListenerImpl method fatalError.
@Override
public void fatalError(TaskAttemptID taskAttemptID, String msg) throws IOException {
// This happens only in Child and in the Task.
LOG.fatal("Task: " + taskAttemptID + " - exited : " + msg);
reportDiagnosticInfo(taskAttemptID, "Error: " + msg);
org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId attemptID = TypeConverter.toYarn(taskAttemptID);
// handling checkpoints
preemptionPolicy.handleFailedContainer(attemptID);
context.getEventHandler().handle(new TaskAttemptEvent(attemptID, TaskAttemptEventType.TA_FAILMSG));
}
use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class TestFail method testTaskFailWithUnusedContainer.
@Test
public void testTaskFailWithUnusedContainer() throws Exception {
MRApp app = new MRAppWithFailingTaskAndUnusedContainer();
Configuration conf = new Configuration();
int maxAttempts = 1;
conf.setInt(MRJobConfig.MAP_MAX_ATTEMPTS, maxAttempts);
// disable uberization (requires entire job to be reattempted, so max for
// subtask attempts is overridden to 1)
conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
Job job = app.submit(conf);
app.waitForState(job, JobState.RUNNING);
Map<TaskId, Task> tasks = job.getTasks();
Assert.assertEquals("Num tasks is not correct", 1, tasks.size());
Task task = tasks.values().iterator().next();
app.waitForState(task, TaskState.SCHEDULED);
Map<TaskAttemptId, TaskAttempt> attempts = tasks.values().iterator().next().getAttempts();
Assert.assertEquals("Num attempts is not correct", maxAttempts, attempts.size());
TaskAttempt attempt = attempts.values().iterator().next();
app.waitForInternalState((TaskAttemptImpl) attempt, TaskAttemptStateInternal.ASSIGNED);
app.getDispatcher().getEventHandler().handle(new TaskAttemptEvent(attempt.getID(), TaskAttemptEventType.TA_CONTAINER_COMPLETED));
app.waitForState(job, JobState.FAILED);
}
use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class TestFetchFailure method testFetchFailure.
@Test
public void testFetchFailure() throws Exception {
MRApp app = new MRApp(1, 1, false, this.getClass().getName(), true);
Configuration conf = new Configuration();
// map -> reduce -> fetch-failure -> map retry is incompatible with
// sequential, single-task-attempt approach in uber-AM, so disable:
conf.setBoolean(MRJobConfig.JOB_UBERTASK_ENABLE, false);
Job job = app.submit(conf);
app.waitForState(job, JobState.RUNNING);
//all maps would be running
Assert.assertEquals("Num tasks not correct", 2, job.getTasks().size());
Iterator<Task> it = job.getTasks().values().iterator();
Task mapTask = it.next();
Task reduceTask = it.next();
//wait for Task state move to RUNNING
app.waitForState(mapTask, TaskState.RUNNING);
TaskAttempt mapAttempt1 = mapTask.getAttempts().values().iterator().next();
app.waitForState(mapAttempt1, TaskAttemptState.RUNNING);
//send the done signal to the map attempt
app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapAttempt1.getID(), TaskAttemptEventType.TA_DONE));
// wait for map success
app.waitForState(mapTask, TaskState.SUCCEEDED);
final int checkIntervalMillis = 10;
final int waitForMillis = 800;
GenericTestUtils.waitFor(new Supplier<Boolean>() {
@Override
public Boolean get() {
TaskAttemptCompletionEvent[] events = job.getTaskAttemptCompletionEvents(0, 100);
return events.length >= 1;
}
}, checkIntervalMillis, waitForMillis);
TaskAttemptCompletionEvent[] events = job.getTaskAttemptCompletionEvents(0, 100);
Assert.assertEquals("Num completion events not correct", 1, events.length);
Assert.assertEquals("Event status not correct", TaskAttemptCompletionEventStatus.SUCCEEDED, events[0].getStatus());
// wait for reduce to start running
app.waitForState(reduceTask, TaskState.RUNNING);
TaskAttempt reduceAttempt = reduceTask.getAttempts().values().iterator().next();
app.waitForState(reduceAttempt, TaskAttemptState.RUNNING);
//send 3 fetch failures from reduce to trigger map re execution
sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
sendFetchFailure(app, reduceAttempt, mapAttempt1, "host");
//wait for map Task state move back to RUNNING
app.waitForState(mapTask, TaskState.RUNNING);
//map attempt must have become FAILED
Assert.assertEquals("Map TaskAttempt state not correct", TaskAttemptState.FAILED, mapAttempt1.getState());
Assert.assertEquals("Num attempts in Map Task not correct", 2, mapTask.getAttempts().size());
Iterator<TaskAttempt> atIt = mapTask.getAttempts().values().iterator();
atIt.next();
TaskAttempt mapAttempt2 = atIt.next();
app.waitForState(mapAttempt2, TaskAttemptState.RUNNING);
//send the done signal to the second map attempt
app.getContext().getEventHandler().handle(new TaskAttemptEvent(mapAttempt2.getID(), TaskAttemptEventType.TA_DONE));
// wait for map success
app.waitForState(mapTask, TaskState.SUCCEEDED);
//send done to reduce
app.getContext().getEventHandler().handle(new TaskAttemptEvent(reduceAttempt.getID(), TaskAttemptEventType.TA_DONE));
app.waitForState(job, JobState.SUCCEEDED);
//previous completion event now becomes obsolete
Assert.assertEquals("Event status not correct", TaskAttemptCompletionEventStatus.OBSOLETE, events[0].getStatus());
events = job.getTaskAttemptCompletionEvents(0, 100);
Assert.assertEquals("Num completion events not correct", 4, events.length);
Assert.assertEquals("Event map attempt id not correct", mapAttempt1.getID(), events[0].getAttemptId());
Assert.assertEquals("Event map attempt id not correct", mapAttempt1.getID(), events[1].getAttemptId());
Assert.assertEquals("Event map attempt id not correct", mapAttempt2.getID(), events[2].getAttemptId());
Assert.assertEquals("Event redude attempt id not correct", reduceAttempt.getID(), events[3].getAttemptId());
Assert.assertEquals("Event status not correct for map attempt1", TaskAttemptCompletionEventStatus.OBSOLETE, events[0].getStatus());
Assert.assertEquals("Event status not correct for map attempt1", TaskAttemptCompletionEventStatus.FAILED, events[1].getStatus());
Assert.assertEquals("Event status not correct for map attempt2", TaskAttemptCompletionEventStatus.SUCCEEDED, events[2].getStatus());
Assert.assertEquals("Event status not correct for reduce attempt1", TaskAttemptCompletionEventStatus.SUCCEEDED, events[3].getStatus());
TaskCompletionEvent[] mapEvents = job.getMapAttemptCompletionEvents(0, 2);
TaskCompletionEvent[] convertedEvents = TypeConverter.fromYarn(events);
Assert.assertEquals("Incorrect number of map events", 2, mapEvents.length);
Assert.assertArrayEquals("Unexpected map events", Arrays.copyOfRange(convertedEvents, 0, 2), mapEvents);
mapEvents = job.getMapAttemptCompletionEvents(2, 200);
Assert.assertEquals("Incorrect number of map events", 1, mapEvents.length);
Assert.assertEquals("Unexpected map event", convertedEvents[2], mapEvents[0]);
}
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