MAPREDUCE-6898. TestKill.testKillTask is flaky. Contributed by Peter Bacsko
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@ -21,11 +21,15 @@ package org.apache.hadoop.mapreduce.v2.app;
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import java.util.Iterator;
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import java.util.Map;
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import java.util.concurrent.CountDownLatch;
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import java.util.concurrent.TimeUnit;
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import org.apache.hadoop.service.Service;
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import org.junit.Assert;
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import org.apache.commons.logging.Log;
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import org.apache.commons.logging.LogFactory;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.mapreduce.jobhistory.EventType;
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import org.apache.hadoop.mapreduce.jobhistory.TaskStartedEvent;
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import org.apache.hadoop.mapreduce.v2.api.records.JobId;
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import org.apache.hadoop.mapreduce.v2.api.records.JobState;
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import org.apache.hadoop.mapreduce.v2.api.records.TaskAttemptId;
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@ -100,12 +104,34 @@ public class TestKill {
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@Test
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public void testKillTask() throws Exception {
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final CountDownLatch latch = new CountDownLatch(1);
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MRApp app = new BlockingMRApp(2, 0, latch);
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final CountDownLatch jobRunning = new CountDownLatch(1);
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final Dispatcher dispatcher = new AsyncDispatcher() {
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protected void dispatch(Event event) {
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// We have to wait until the internal state is RUNNING and not SETUP
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// because it can cause a transition failure. If the dispatchable
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// event is TASK_STARTED, we can continue because the job must be in
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// RUNNING at that point.
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if (event.getType() == EventType.TASK_STARTED) {
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jobRunning.countDown();
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}
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super.dispatch(event);
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}
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};
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MRApp app = new BlockingMRApp(2, 0, latch) {
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@Override
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public Dispatcher createDispatcher() {
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return dispatcher;
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}
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};
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//this will start the job but job won't complete as Task is blocked
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Job job = app.submit(new Configuration());
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//wait and vailidate for Job to become RUNNING
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app.waitForInternalState((JobImpl) job, JobStateInternal.RUNNING);
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// wait until the job transitions to JobInternalState.RUNNING
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jobRunning.await(10, TimeUnit.SECONDS);
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Map<TaskId,Task> tasks = job.getTasks();
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Assert.assertEquals("No of tasks is not correct", 2,
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tasks.size());
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