MAPREDUCE-5317. Stale files left behind for failed jobs. Contributed by Ravi Prakash
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1503499 13f79535-47bb-0310-9956-ffa450edef68
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@ -158,6 +158,9 @@ Release 2.3.0 - UNRELEASED
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MAPREDUCE-5358. MRAppMaster throws invalid transitions for JobImpl
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(Devaraj K via jlowe)
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MAPREDUCE-5317. Stale files left behind for failed jobs (Ravi Prakash via
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jlowe)
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Release 2.2.0 - UNRELEASED
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INCOMPATIBLE CHANGES
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@ -1220,6 +1223,9 @@ Release 0.23.10 - UNRELEASED
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MAPREDUCE-3193. FileInputFormat doesn't read files recursively in the
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input path dir (Devaraj K via jlowe)
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MAPREDUCE-5317. Stale files left behind for failed jobs (Ravi Prakash via
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jlowe)
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Release 0.23.9 - 2013-07-08
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INCOMPATIBLE CHANGES
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@ -25,6 +25,7 @@ public enum JobStateInternal {
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RUNNING,
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COMMITTING,
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SUCCEEDED,
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FAIL_WAIT,
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FAIL_ABORT,
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FAILED,
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KILL_WAIT,
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@ -44,6 +44,7 @@ public enum JobEventType {
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//Producer:Job
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JOB_COMPLETED,
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JOB_FAIL_WAIT_TIMEDOUT,
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//Producer:Any component
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JOB_DIAGNOSTIC_UPDATE,
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@ -30,6 +30,9 @@ import java.util.List;
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import java.util.Map;
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import java.util.Map.Entry;
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import java.util.Set;
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import java.util.concurrent.ScheduledFuture;
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import java.util.concurrent.ScheduledThreadPoolExecutor;
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import java.util.concurrent.TimeUnit;
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import java.util.concurrent.locks.Lock;
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import java.util.concurrent.locks.ReadWriteLock;
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import java.util.concurrent.locks.ReentrantReadWriteLock;
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@ -313,7 +316,8 @@ public class JobImpl implements org.apache.hadoop.mapreduce.v2.app.job.Job,
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.addTransition
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(JobStateInternal.RUNNING,
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EnumSet.of(JobStateInternal.RUNNING,
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JobStateInternal.COMMITTING, JobStateInternal.FAIL_ABORT),
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JobStateInternal.COMMITTING, JobStateInternal.FAIL_WAIT,
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JobStateInternal.FAIL_ABORT),
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JobEventType.JOB_TASK_COMPLETED,
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new TaskCompletedTransition())
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.addTransition
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@ -424,7 +428,37 @@ public class JobImpl implements org.apache.hadoop.mapreduce.v2.app.job.Job,
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JobEventType.JOB_TASK_ATTEMPT_COMPLETED,
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JobEventType.JOB_MAP_TASK_RESCHEDULED))
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// Transitions from FAIL_ABORT state
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// Transitions from FAIL_WAIT state
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.addTransition(JobStateInternal.FAIL_WAIT,
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JobStateInternal.FAIL_WAIT,
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JobEventType.JOB_DIAGNOSTIC_UPDATE,
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DIAGNOSTIC_UPDATE_TRANSITION)
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.addTransition(JobStateInternal.FAIL_WAIT,
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JobStateInternal.FAIL_WAIT,
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JobEventType.JOB_COUNTER_UPDATE, COUNTER_UPDATE_TRANSITION)
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.addTransition(JobStateInternal.FAIL_WAIT,
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EnumSet.of(JobStateInternal.FAIL_WAIT, JobStateInternal.FAIL_ABORT),
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JobEventType.JOB_TASK_COMPLETED,
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new JobFailWaitTransition())
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.addTransition(JobStateInternal.FAIL_WAIT,
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JobStateInternal.FAIL_ABORT, JobEventType.JOB_FAIL_WAIT_TIMEDOUT,
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new JobFailWaitTimedOutTransition())
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.addTransition(JobStateInternal.FAIL_WAIT, JobStateInternal.KILLED,
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JobEventType.JOB_KILL,
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new KilledDuringAbortTransition())
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.addTransition(JobStateInternal.FAIL_WAIT,
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JobStateInternal.ERROR, JobEventType.INTERNAL_ERROR,
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INTERNAL_ERROR_TRANSITION)
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// Ignore-able events
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.addTransition(JobStateInternal.FAIL_WAIT,
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JobStateInternal.FAIL_WAIT,
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EnumSet.of(JobEventType.JOB_UPDATED_NODES,
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JobEventType.JOB_TASK_ATTEMPT_COMPLETED,
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JobEventType.JOB_MAP_TASK_RESCHEDULED,
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JobEventType.JOB_TASK_ATTEMPT_FETCH_FAILURE,
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JobEventType.JOB_AM_REBOOT))
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//Transitions from FAIL_ABORT state
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.addTransition(JobStateInternal.FAIL_ABORT,
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JobStateInternal.FAIL_ABORT,
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JobEventType.JOB_DIAGNOSTIC_UPDATE,
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@ -451,7 +485,8 @@ public class JobImpl implements org.apache.hadoop.mapreduce.v2.app.job.Job,
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JobEventType.JOB_TASK_ATTEMPT_FETCH_FAILURE,
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JobEventType.JOB_COMMIT_COMPLETED,
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JobEventType.JOB_COMMIT_FAILED,
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JobEventType.JOB_AM_REBOOT))
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JobEventType.JOB_AM_REBOOT,
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JobEventType.JOB_FAIL_WAIT_TIMEDOUT))
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// Transitions from KILL_ABORT state
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.addTransition(JobStateInternal.KILL_ABORT,
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@ -602,6 +637,10 @@ public class JobImpl implements org.apache.hadoop.mapreduce.v2.app.job.Job,
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private JobStateInternal forcedState = null;
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//Executor used for running future tasks. Setting thread pool size to 1
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private ScheduledThreadPoolExecutor executor = new ScheduledThreadPoolExecutor(1);
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private ScheduledFuture failWaitTriggerScheduledFuture;
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public JobImpl(JobId jobId, ApplicationAttemptId applicationAttemptId,
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Configuration conf, EventHandler eventHandler,
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TaskAttemptListener taskAttemptListener,
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@ -962,6 +1001,7 @@ public class JobImpl implements org.apache.hadoop.mapreduce.v2.app.job.Job,
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case SETUP:
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case COMMITTING:
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return JobState.RUNNING;
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case FAIL_WAIT:
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case FAIL_ABORT:
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return JobState.FAILED;
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case REBOOT:
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@ -1566,6 +1606,42 @@ public class JobImpl implements org.apache.hadoop.mapreduce.v2.app.job.Job,
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}
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}
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//This transition happens when a job is to be failed. It waits for all the
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//tasks to finish / be killed.
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private static class JobFailWaitTransition
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implements MultipleArcTransition<JobImpl, JobEvent, JobStateInternal> {
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@Override
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public JobStateInternal transition(JobImpl job, JobEvent event) {
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if(!job.failWaitTriggerScheduledFuture.isCancelled()) {
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for(Task task: job.tasks.values()) {
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if(!task.isFinished()) {
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return JobStateInternal.FAIL_WAIT;
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}
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}
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}
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//Finished waiting. All tasks finished / were killed
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job.failWaitTriggerScheduledFuture.cancel(false);
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job.eventHandler.handle(new CommitterJobAbortEvent(job.jobId,
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job.jobContext, org.apache.hadoop.mapreduce.JobStatus.State.FAILED));
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return JobStateInternal.FAIL_ABORT;
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}
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}
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//This transition happens when a job to be failed times out while waiting on
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//tasks that had been sent the KILL signal. It is triggered by a
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//ScheduledFuture task queued in the executor.
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private static class JobFailWaitTimedOutTransition
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implements SingleArcTransition<JobImpl, JobEvent> {
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@Override
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public void transition(JobImpl job, JobEvent event) {
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LOG.info("Timeout expired in FAIL_WAIT waiting for tasks to get killed."
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+ " Going to fail job anyway");
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job.failWaitTriggerScheduledFuture.cancel(false);
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job.eventHandler.handle(new CommitterJobAbortEvent(job.jobId,
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job.jobContext, org.apache.hadoop.mapreduce.JobStatus.State.FAILED));
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}
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}
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// JobFinishedEvent triggers the move of the history file out of the staging
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// area. May need to create a new event type for this if JobFinished should
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// not be generated for KilledJobs, etc.
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@ -1798,6 +1874,23 @@ public class JobImpl implements org.apache.hadoop.mapreduce.v2.app.job.Job,
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return checkJobAfterTaskCompletion(job);
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}
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//This class is used to queue a ScheduledFuture to send an event to a job
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//after some delay. This can be used to wait for maximum amount of time
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//before proceeding anyway. e.g. When a job is waiting in FAIL_WAIT for
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//all tasks to be killed.
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static class TriggerScheduledFuture implements Runnable {
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JobEvent toSend;
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JobImpl job;
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TriggerScheduledFuture(JobImpl job, JobEvent toSend) {
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this.toSend = toSend;
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this.job = job;
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}
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public void run() {
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LOG.info("Sending event " + toSend + " to " + job.getID());
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job.getEventHandler().handle(toSend);
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}
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}
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protected JobStateInternal checkJobAfterTaskCompletion(JobImpl job) {
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//check for Job failure
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if (job.failedMapTaskCount*100 >
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@ -1811,12 +1904,32 @@ public class JobImpl implements org.apache.hadoop.mapreduce.v2.app.job.Job,
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" failedReduces:" + job.failedReduceTaskCount;
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LOG.info(diagnosticMsg);
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job.addDiagnostic(diagnosticMsg);
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job.eventHandler.handle(new CommitterJobAbortEvent(job.jobId,
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job.jobContext,
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org.apache.hadoop.mapreduce.JobStatus.State.FAILED));
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//Send kill signal to all unfinished tasks here.
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boolean allDone = true;
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for (Task task : job.tasks.values()) {
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if(!task.isFinished()) {
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allDone = false;
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job.eventHandler.handle(
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new TaskEvent(task.getID(), TaskEventType.T_KILL));
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}
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}
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//If all tasks are already done, we should go directly to FAIL_ABORT
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if(allDone) {
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return JobStateInternal.FAIL_ABORT;
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}
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//Set max timeout to wait for the tasks to get killed
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job.failWaitTriggerScheduledFuture = job.executor.schedule(
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new TriggerScheduledFuture(job, new JobEvent(job.getID(),
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JobEventType.JOB_FAIL_WAIT_TIMEDOUT)), job.conf.getInt(
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MRJobConfig.MR_AM_COMMITTER_CANCEL_TIMEOUT_MS,
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MRJobConfig.DEFAULT_MR_AM_COMMITTER_CANCEL_TIMEOUT_MS),
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TimeUnit.MILLISECONDS);
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return JobStateInternal.FAIL_WAIT;
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}
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return job.checkReadyForCommit();
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}
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@ -75,6 +75,7 @@ import org.apache.hadoop.yarn.api.records.ApplicationId;
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import org.apache.hadoop.yarn.event.AsyncDispatcher;
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import org.apache.hadoop.yarn.event.Dispatcher;
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import org.apache.hadoop.yarn.event.EventHandler;
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import org.apache.hadoop.yarn.event.InlineDispatcher;
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import org.apache.hadoop.yarn.state.StateMachine;
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import org.apache.hadoop.yarn.state.StateMachineFactory;
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import org.apache.hadoop.yarn.util.ConverterUtils;
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@ -84,6 +85,7 @@ import org.junit.Assert;
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import org.junit.Before;
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import org.junit.BeforeClass;
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import org.junit.Test;
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import org.mockito.Mockito;
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/**
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@ -332,6 +334,39 @@ public class TestJobImpl {
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commitHandler.stop();
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}
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@Test
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public void testAbortJobCalledAfterKillingTasks() throws IOException,
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InterruptedException {
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Configuration conf = new Configuration();
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conf.set(MRJobConfig.MR_AM_STAGING_DIR, stagingDir);
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conf.set(MRJobConfig.MR_AM_COMMITTER_CANCEL_TIMEOUT_MS, "1000");
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InlineDispatcher dispatcher = new InlineDispatcher();
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dispatcher.init(conf);
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dispatcher.start();
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OutputCommitter committer = Mockito.mock(OutputCommitter.class);
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CommitterEventHandler commitHandler =
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createCommitterEventHandler(dispatcher, committer);
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commitHandler.init(conf);
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commitHandler.start();
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JobImpl job = createRunningStubbedJob(conf, dispatcher, 2);
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//Fail one task. This should land the JobImpl in the FAIL_WAIT state
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job.handle(new JobTaskEvent(
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MRBuilderUtils.newTaskId(job.getID(), 1, TaskType.MAP),
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TaskState.FAILED));
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//Verify abort job hasn't been called
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Mockito.verify(committer, Mockito.never())
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.abortJob((JobContext) Mockito.any(), (State) Mockito.any());
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assertJobState(job, JobStateInternal.FAIL_WAIT);
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//Verify abortJob is called once and the job failed
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Mockito.verify(committer, Mockito.timeout(2000).times(1))
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.abortJob((JobContext) Mockito.any(), (State) Mockito.any());
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assertJobState(job, JobStateInternal.FAILED);
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dispatcher.stop();
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}
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@Test(timeout=20000)
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public void testKilledDuringFailAbort() throws Exception {
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Configuration conf = new Configuration();
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