blob: e91b4c1e854986b684655941c702b7320cf3f723 [file] [log] [blame]
/**
* 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.ArgumentMatchers.any;
import static org.mockito.ArgumentMatchers.anyInt;
import static org.mockito.ArgumentMatchers.isA;
import static org.mockito.Mockito.doAnswer;
import static org.mockito.Mockito.doReturn;
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 org.junit.Before;
import org.junit.Test;
import static org.junit.Assert.*;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.mapred.TaskReport;
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.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 {
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 = Job.getInstance(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-queue", "tmp-jobfile", "tmp-url", true);
JobStatus jobStatus_2 = new JobStatus(new JobID("job_000", 1), 1f, 1f,
1f, 1f, State.SUCCEEDED, JobPriority.HIGH, "tmp-user", "tmp-jobname",
"tmp-queue", "tmp-jobfile", "tmp-url", true);
doAnswer((Answer<TaskCompletionEvent[]>) invocation ->
TaskCompletionEvent.EMPTY_ARRAY).when(job)
.getTaskCompletionEvents(anyInt(), anyInt());
doReturn(new TaskReport[5]).when(job).getTaskReports(isA(TaskType.class));
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;
boolean foundUber = false;
String uberModeMatch = "uber mode : true";
String progressMatch = "map 100% reduce 100%";
String completionMatch = "completed successfully";
while ((line = r.readLine()) != null) {
if (line.contains(uberModeMatch)) {
foundUber = true;
}
foundHundred = line.contains(progressMatch);
if (foundHundred)
break;
}
line = r.readLine();
foundComplete = line.contains(completionMatch);
assertTrue(foundUber);
assertTrue(foundHundred);
assertTrue(foundComplete);
System.out.println("The output of job.toString() is : \n" + job.toString());
assertTrue(job.toString().contains("Number of maps: 5\n"));
assertTrue(job.toString().contains("Number of reduces: 5\n"));
}
}