use of org.apache.hadoop.mapreduce.v2.app.job.impl.MapTaskImpl in project hadoop by apache.
the class TestRecovery method recoveryChecker.
private void recoveryChecker(MapTaskImpl checkTask, TaskState finalState, Map<TaskAttemptID, TaskAttemptState> finalAttemptStates, ArgumentCaptor<Event> arg, List<EventType> expectedJobHistoryEvents, long expectedMapLaunches, long expectedFailedMaps) {
assertEquals("Final State of Task", finalState, checkTask.getState());
Map<TaskAttemptId, TaskAttempt> recoveredAttempts = checkTask.getAttempts();
assertEquals("Expected Number of Task Attempts", finalAttemptStates.size(), recoveredAttempts.size());
for (TaskAttemptID taID : finalAttemptStates.keySet()) {
assertEquals("Expected Task Attempt State", finalAttemptStates.get(taID), recoveredAttempts.get(TypeConverter.toYarn(taID)).getState());
}
Iterator<Event> ie = arg.getAllValues().iterator();
int eventNum = 0;
long totalLaunchedMaps = 0;
long totalFailedMaps = 0;
boolean jobTaskEventReceived = false;
while (ie.hasNext()) {
Object current = ie.next();
++eventNum;
LOG.info(eventNum + " " + current.getClass().getName());
if (current instanceof JobHistoryEvent) {
JobHistoryEvent jhe = (JobHistoryEvent) current;
LOG.info(expectedJobHistoryEvents.get(0).toString() + " " + jhe.getHistoryEvent().getEventType().toString() + " " + jhe.getJobID());
assertEquals(expectedJobHistoryEvents.get(0), jhe.getHistoryEvent().getEventType());
expectedJobHistoryEvents.remove(0);
} else if (current instanceof JobCounterUpdateEvent) {
JobCounterUpdateEvent jcue = (JobCounterUpdateEvent) current;
boolean containsUpdates = jcue.getCounterUpdates().size() > 0;
// TaskAttempt recovery. Check that first.
if (containsUpdates) {
LOG.info("JobCounterUpdateEvent " + jcue.getCounterUpdates().get(0).getCounterKey() + " " + jcue.getCounterUpdates().get(0).getIncrementValue());
if (jcue.getCounterUpdates().get(0).getCounterKey() == JobCounter.NUM_FAILED_MAPS) {
totalFailedMaps += jcue.getCounterUpdates().get(0).getIncrementValue();
} else if (jcue.getCounterUpdates().get(0).getCounterKey() == JobCounter.TOTAL_LAUNCHED_MAPS) {
totalLaunchedMaps += jcue.getCounterUpdates().get(0).getIncrementValue();
}
}
} else if (current instanceof JobTaskEvent) {
JobTaskEvent jte = (JobTaskEvent) current;
assertEquals(jte.getState(), finalState);
jobTaskEventReceived = true;
}
}
assertTrue(jobTaskEventReceived || (finalState == TaskState.RUNNING));
assertEquals("Did not process all expected JobHistoryEvents", 0, expectedJobHistoryEvents.size());
assertEquals("Expected Map Launches", expectedMapLaunches, totalLaunchedMaps);
assertEquals("Expected Failed Maps", expectedFailedMaps, totalFailedMaps);
}
use of org.apache.hadoop.mapreduce.v2.app.job.impl.MapTaskImpl in project hadoop by apache.
the class TestRecovery method getMockMapTask.
private MapTaskImpl getMockMapTask(long clusterTimestamp, EventHandler eh) {
ApplicationId appId = ApplicationId.newInstance(clusterTimestamp, 1);
JobId jobId = MRBuilderUtils.newJobId(appId, 1);
int partitions = 2;
Path remoteJobConfFile = mock(Path.class);
JobConf conf = new JobConf();
TaskAttemptListener taskAttemptListener = mock(TaskAttemptListener.class);
Token<JobTokenIdentifier> jobToken = (Token<JobTokenIdentifier>) mock(Token.class);
Credentials credentials = null;
Clock clock = SystemClock.getInstance();
int appAttemptId = 3;
MRAppMetrics metrics = mock(MRAppMetrics.class);
Resource minContainerRequirements = mock(Resource.class);
when(minContainerRequirements.getMemorySize()).thenReturn(1000L);
ClusterInfo clusterInfo = mock(ClusterInfo.class);
AppContext appContext = mock(AppContext.class);
when(appContext.getClusterInfo()).thenReturn(clusterInfo);
TaskSplitMetaInfo taskSplitMetaInfo = mock(TaskSplitMetaInfo.class);
MapTaskImpl mapTask = new MapTaskImpl(jobId, partitions, eh, remoteJobConfFile, conf, taskSplitMetaInfo, taskAttemptListener, jobToken, credentials, clock, appAttemptId, metrics, appContext);
return mapTask;
}
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