use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class TestTaskAttempt method testContainerKillWhileCommitPending.
@Test
public void testContainerKillWhileCommitPending() 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);
TaskAttemptImpl taImpl = new MapTaskAttemptImpl(taskId, 1, eventHandler, jobFile, 1, splits, jobConf, taListener, new Token(), new Credentials(), SystemClock.getInstance(), appCtx);
NodeId nid = NodeId.newInstance("127.0.0.2", 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));
assertEquals("Task attempt is not in running state", taImpl.getState(), TaskAttemptState.RUNNING);
taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_COMMIT_PENDING));
assertEquals("Task should be in COMMIT_PENDING state", TaskAttemptStateInternal.COMMIT_PENDING, taImpl.getInternalState());
taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_KILL));
assertFalse("InternalError occurred trying to handle TA_KILL", eventHandler.internalError);
assertEquals("Task should be in KILL_CONTAINER_CLEANUP state", TaskAttemptStateInternal.KILL_CONTAINER_CLEANUP, taImpl.getInternalState());
}
use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class TestTaskAttempt method testLaunchFailedWhileKilling.
@Test
public void testLaunchFailedWhileKilling() 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" });
TaskAttemptImpl taImpl = new MapTaskAttemptImpl(taskId, 1, eventHandler, jobFile, 1, splits, jobConf, taListener, new Token(), new Credentials(), SystemClock.getInstance(), null);
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);
taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_SCHEDULE));
taImpl.handle(new TaskAttemptContainerAssignedEvent(attemptId, container, mock(Map.class)));
taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_KILL));
taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_CONTAINER_CLEANED));
taImpl.handle(new TaskAttemptEvent(attemptId, TaskAttemptEventType.TA_CONTAINER_LAUNCH_FAILED));
assertFalse(eventHandler.internalError);
assertEquals("Task attempt is not assigned on the local node", Locality.NODE_LOCAL, taImpl.getLocality());
}
use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class TestTaskAttempt method testTimeoutWhileFailFinishing.
@Test
public void testTimeoutWhileFailFinishing() throws Exception {
MockEventHandler eventHandler = new MockEventHandler();
TaskAttemptImpl taImpl = createTaskAttemptImpl(eventHandler);
taImpl.handle(new TaskAttemptEvent(taImpl.getID(), TaskAttemptEventType.TA_FAILMSG));
assertEquals("Task attempt is not in RUNNING state", taImpl.getState(), TaskAttemptState.FAILED);
assertEquals("Task attempt's internal state is not " + "FAIL_FINISHING_CONTAINER", taImpl.getInternalState(), TaskAttemptStateInternal.FAIL_FINISHING_CONTAINER);
// If the task stays in FAIL_FINISHING_CONTAINER for too long,
// TaskAttemptListenerImpl will time out the attempt.
taImpl.handle(new TaskAttemptEvent(taImpl.getID(), TaskAttemptEventType.TA_TIMED_OUT));
assertEquals("Task attempt's internal state is not FAIL_CONTAINER_CLEANUP", taImpl.getInternalState(), TaskAttemptStateInternal.FAIL_CONTAINER_CLEANUP);
assertFalse("InternalError occurred", eventHandler.internalError);
}
use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class ContainerLauncherImpl method sendContainerLaunchFailedMsg.
@SuppressWarnings("unchecked")
void sendContainerLaunchFailedMsg(TaskAttemptId taskAttemptID, String message) {
LOG.error(message);
context.getEventHandler().handle(new TaskAttemptDiagnosticsUpdateEvent(taskAttemptID, message));
context.getEventHandler().handle(new TaskAttemptEvent(taskAttemptID, TaskAttemptEventType.TA_CONTAINER_LAUNCH_FAILED));
}
use of org.apache.hadoop.mapreduce.v2.app.job.event.TaskAttemptEvent in project hadoop by apache.
the class TaskImpl method addAndScheduleAttempt.
// This is always called in the Write Lock
private void addAndScheduleAttempt(Avataar avataar, boolean reschedule) {
TaskAttempt attempt = addAttempt(avataar);
inProgressAttempts.add(attempt.getID());
//schedule the nextAttemptNumber
if (failedAttempts.size() > 0 || reschedule) {
eventHandler.handle(new TaskAttemptEvent(attempt.getID(), TaskAttemptEventType.TA_RESCHEDULE));
} else {
eventHandler.handle(new TaskAttemptEvent(attempt.getID(), TaskAttemptEventType.TA_SCHEDULE));
}
}
Aggregations