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
This commit is contained in:
Mahadev Konar 2011-08-29 20:23:17 +00:00
parent 3380d8f70c
commit aad81a15ec
3 changed files with 128 additions and 2 deletions

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@ -1167,6 +1167,9 @@ Release 0.23.0 - Unreleased
clean up of stale refs to pre-mavenized Hadoop Common and HDFS.
(Sharad Agarwal and Arun C. Murthy via acmurthy)
MAPREDUCE-2737. Update the progress of jobs on client side. (Siddharth Seth
and Mahadev Konar via mahadev)
Release 0.22.0 - Unreleased
INCOMPATIBLE CHANGES

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@ -1124,8 +1124,14 @@ public boolean monitorAndPrintJob()
IntegerRanges reduceRanges = getProfileTaskRange(false);
int progMonitorPollIntervalMillis =
Job.getProgressPollInterval(clientConf);
while (!isComplete()) {
/* make sure to report full progress after the job is done */
boolean reportedAfterCompletion = false;
while (!isComplete() || !reportedAfterCompletion) {
if (isComplete()) {
reportedAfterCompletion = true;
} else {
Thread.sleep(progMonitorPollIntervalMillis);
}
String report =
(" map " + StringUtils.formatPercent(mapProgress(), 0)+
" reduce " +

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@ -0,0 +1,117 @@
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.mapreduce;
import static org.mockito.Matchers.any;
import static org.mockito.Matchers.anyInt;
import static org.mockito.Mockito.doAnswer;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.spy;
import static org.mockito.Mockito.when;
import java.io.ByteArrayOutputStream;
import java.io.IOException;
import java.io.LineNumberReader;
import java.io.StringReader;
import junit.framework.TestCase;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapreduce.JobStatus.State;
import org.apache.hadoop.mapreduce.protocol.ClientProtocol;
import org.apache.log4j.Layout;
import org.apache.log4j.Level;
import org.apache.log4j.Logger;
import org.apache.log4j.WriterAppender;
import org.junit.Before;
import org.junit.Test;
import org.mockito.invocation.InvocationOnMock;
import org.mockito.stubbing.Answer;
/**
* Test to make sure that command line output for
* job monitoring is correct and prints 100% for map and reduce before
* successful completion.
*/
public class TestJobMonitorAndPrint extends TestCase {
private Job job;
private Configuration conf;
private ClientProtocol clientProtocol;
@Before
public void setUp() throws IOException {
conf = new Configuration();
clientProtocol = mock(ClientProtocol.class);
Cluster cluster = mock(Cluster.class);
when(cluster.getConf()).thenReturn(conf);
when(cluster.getClient()).thenReturn(clientProtocol);
JobStatus jobStatus = new JobStatus(new JobID("job_000", 1), 0f, 0f, 0f, 0f,
State.RUNNING, JobPriority.HIGH, "tmp-user", "tmp-jobname", "tmp-jobfile", "tmp-url");
job = new Job(cluster, jobStatus, conf);
job = spy(job);
}
@Test
public void testJobMonitorAndPrint() throws Exception {
JobStatus jobStatus_1 = new JobStatus(new JobID("job_000", 1), 1f, 0.1f, 0.1f, 0f,
State.RUNNING, JobPriority.HIGH, "tmp-user", "tmp-jobname", "tmp-jobfile", "tmp-url");
JobStatus jobStatus_2 = new JobStatus(new JobID("job_000", 1), 1f, 1f, 1f, 1f,
State.SUCCEEDED, JobPriority.HIGH, "tmp-user", "tmp-jobname", "tmp-jobfile", "tmp-url");
doAnswer(
new Answer<TaskCompletionEvent[]>() {
@Override
public TaskCompletionEvent[] answer(InvocationOnMock invocation)
throws Throwable {
return new TaskCompletionEvent[0];
}
}
).when(job).getTaskCompletionEvents(anyInt(), anyInt());
when(clientProtocol.getJobStatus(any(JobID.class))).thenReturn(jobStatus_1, jobStatus_2);
// setup the logger to capture all logs
Layout layout =
Logger.getRootLogger().getAppender("stdout").getLayout();
ByteArrayOutputStream os = new ByteArrayOutputStream();
WriterAppender appender = new WriterAppender(layout, os);
appender.setThreshold(Level.ALL);
Logger qlogger = Logger.getLogger(Job.class);
qlogger.addAppender(appender);
job.monitorAndPrintJob();
qlogger.removeAppender(appender);
LineNumberReader r = new LineNumberReader(new StringReader(os.toString()));
String line;
boolean foundHundred = false;
boolean foundComplete = false;
String match_1 = "map 100% reduce 100%";
String match_2 = "completed successfully";
while ((line = r.readLine()) != null) {
foundHundred = line.contains(match_1);
if (foundHundred)
break;
}
line = r.readLine();
foundComplete = line.contains(match_2);
assertTrue(foundHundred);
assertTrue(foundComplete);
}
}