MAPREDUCE-2737. Update the progress of jobs on client side. (Siddharth Seth and Mahadev Konar via mahadev)
git-svn-id: https://svn.apache.org/repos/asf/hadoop/common/trunk@1162979 13f79535-47bb-0310-9956-ffa450edef68
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@ -1167,6 +1167,9 @@ Release 0.23.0 - Unreleased
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clean up of stale refs to pre-mavenized Hadoop Common and HDFS.
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(Sharad Agarwal and Arun C. Murthy via acmurthy)
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MAPREDUCE-2737. Update the progress of jobs on client side. (Siddharth Seth
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and Mahadev Konar via mahadev)
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Release 0.22.0 - Unreleased
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INCOMPATIBLE CHANGES
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@ -1124,8 +1124,14 @@ public boolean monitorAndPrintJob()
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IntegerRanges reduceRanges = getProfileTaskRange(false);
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int progMonitorPollIntervalMillis =
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Job.getProgressPollInterval(clientConf);
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while (!isComplete()) {
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/* make sure to report full progress after the job is done */
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boolean reportedAfterCompletion = false;
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while (!isComplete() || !reportedAfterCompletion) {
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if (isComplete()) {
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reportedAfterCompletion = true;
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} else {
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Thread.sleep(progMonitorPollIntervalMillis);
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}
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String report =
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(" map " + StringUtils.formatPercent(mapProgress(), 0)+
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" reduce " +
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@ -0,0 +1,117 @@
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/**
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* Licensed to the Apache Software Foundation (ASF) under one
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* or more contributor license agreements. See the NOTICE file
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* distributed with this work for additional information
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* regarding copyright ownership. The ASF licenses this file
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* to you under the Apache License, Version 2.0 (the
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* "License"); you may not use this file except in compliance
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* with the License. You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package org.apache.hadoop.mapreduce;
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import static org.mockito.Matchers.any;
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import static org.mockito.Matchers.anyInt;
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import static org.mockito.Mockito.doAnswer;
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import static org.mockito.Mockito.mock;
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import static org.mockito.Mockito.spy;
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import static org.mockito.Mockito.when;
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import java.io.ByteArrayOutputStream;
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import java.io.IOException;
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import java.io.LineNumberReader;
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import java.io.StringReader;
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import junit.framework.TestCase;
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import org.apache.hadoop.conf.Configuration;
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import org.apache.hadoop.mapreduce.JobStatus.State;
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import org.apache.hadoop.mapreduce.protocol.ClientProtocol;
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import org.apache.log4j.Layout;
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import org.apache.log4j.Level;
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import org.apache.log4j.Logger;
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import org.apache.log4j.WriterAppender;
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import org.junit.Before;
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import org.junit.Test;
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import org.mockito.invocation.InvocationOnMock;
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import org.mockito.stubbing.Answer;
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/**
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* Test to make sure that command line output for
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* job monitoring is correct and prints 100% for map and reduce before
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* successful completion.
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*/
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public class TestJobMonitorAndPrint extends TestCase {
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private Job job;
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private Configuration conf;
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private ClientProtocol clientProtocol;
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@Before
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public void setUp() throws IOException {
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conf = new Configuration();
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clientProtocol = mock(ClientProtocol.class);
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Cluster cluster = mock(Cluster.class);
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when(cluster.getConf()).thenReturn(conf);
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when(cluster.getClient()).thenReturn(clientProtocol);
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JobStatus jobStatus = new JobStatus(new JobID("job_000", 1), 0f, 0f, 0f, 0f,
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State.RUNNING, JobPriority.HIGH, "tmp-user", "tmp-jobname", "tmp-jobfile", "tmp-url");
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job = new Job(cluster, jobStatus, conf);
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job = spy(job);
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}
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@Test
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public void testJobMonitorAndPrint() throws Exception {
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JobStatus jobStatus_1 = new JobStatus(new JobID("job_000", 1), 1f, 0.1f, 0.1f, 0f,
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State.RUNNING, JobPriority.HIGH, "tmp-user", "tmp-jobname", "tmp-jobfile", "tmp-url");
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JobStatus jobStatus_2 = new JobStatus(new JobID("job_000", 1), 1f, 1f, 1f, 1f,
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State.SUCCEEDED, JobPriority.HIGH, "tmp-user", "tmp-jobname", "tmp-jobfile", "tmp-url");
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doAnswer(
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new Answer<TaskCompletionEvent[]>() {
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@Override
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public TaskCompletionEvent[] answer(InvocationOnMock invocation)
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throws Throwable {
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return new TaskCompletionEvent[0];
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}
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}
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).when(job).getTaskCompletionEvents(anyInt(), anyInt());
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when(clientProtocol.getJobStatus(any(JobID.class))).thenReturn(jobStatus_1, jobStatus_2);
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// setup the logger to capture all logs
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Layout layout =
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Logger.getRootLogger().getAppender("stdout").getLayout();
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ByteArrayOutputStream os = new ByteArrayOutputStream();
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WriterAppender appender = new WriterAppender(layout, os);
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appender.setThreshold(Level.ALL);
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Logger qlogger = Logger.getLogger(Job.class);
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qlogger.addAppender(appender);
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job.monitorAndPrintJob();
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qlogger.removeAppender(appender);
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LineNumberReader r = new LineNumberReader(new StringReader(os.toString()));
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String line;
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boolean foundHundred = false;
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boolean foundComplete = false;
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String match_1 = "map 100% reduce 100%";
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String match_2 = "completed successfully";
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while ((line = r.readLine()) != null) {
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foundHundred = line.contains(match_1);
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if (foundHundred)
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break;
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}
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line = r.readLine();
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foundComplete = line.contains(match_2);
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assertTrue(foundHundred);
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assertTrue(foundComplete);
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}
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}
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