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/**
* 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.mapred;
import junit.framework.TestCase;
import org.apache.hadoop.hdfs.MiniDFSCluster;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import java.io.IOException;
import java.util.Map;
import java.util.Properties;
/**
* Test case to run a MapReduce job.
* <p/>
* It runs a 2 node cluster Hadoop with a 2 node DFS.
* <p/>
* The JobConf to use must be obtained via the creatJobConf() method.
* <p/>
* It creates a temporary directory -accessible via getTestRootDir()-
* for both input and output.
* <p/>
* The input directory is accesible via getInputDir() and the output
* directory via getOutputDir()
* <p/>
* The DFS filesystem is formated before the testcase starts and after it ends.
*/
public abstract class ClusterMapReduceTestCase extends TestCase {
private MiniDFSCluster dfsCluster = null;
private MiniMRCluster mrCluster = null;
/**
* Creates Hadoop Cluster and DFS before a test case is run.
*
* @throws Exception
*/
protected void setUp() throws Exception {
super.setUp();
startCluster(true, null);
}
/**
* Starts the cluster within a testcase.
* <p/>
* Note that the cluster is already started when the testcase method
* is invoked. This method is useful if as part of the testcase the
* cluster has to be shutdown and restarted again.
* <p/>
* If the cluster is already running this method does nothing.
*
* @param reformatDFS indicates if DFS has to be reformated
* @param props configuration properties to inject to the mini cluster
* @throws Exception if the cluster could not be started
*/
protected synchronized void startCluster(boolean reformatDFS, Properties props)
throws Exception {
if (dfsCluster == null) {
JobConf conf = new JobConf();
if (props != null) {
for (Map.Entry entry : props.entrySet()) {
conf.set((String) entry.getKey(), (String) entry.getValue());
}
}
dfsCluster = new MiniDFSCluster(conf, 2, reformatDFS, null);
ConfigurableMiniMRCluster.setConfiguration(props);
//noinspection deprecation
mrCluster = new ConfigurableMiniMRCluster(2, getFileSystem().getUri().toString(), 1);
}
}
private static class ConfigurableMiniMRCluster extends MiniMRCluster {
private static Properties config;
public static void setConfiguration(Properties props) {
config = props;
}
public ConfigurableMiniMRCluster(int numTaskTrackers, String namenode,
int numDir) throws Exception {
super(numTaskTrackers, namenode, numDir);
}
public JobConf createJobConf() {
JobConf conf = super.createJobConf();
if (config != null) {
for (Map.Entry entry : config.entrySet()) {
conf.set((String) entry.getKey(), (String) entry.getValue());
}
}
return conf;
}
}
/**
* Stops the cluster within a testcase.
* <p/>
* Note that the cluster is already started when the testcase method
* is invoked. This method is useful if as part of the testcase the
* cluster has to be shutdown.
* <p/>
* If the cluster is already stopped this method does nothing.
*
* @throws Exception if the cluster could not be stopped
*/
protected void stopCluster() throws Exception {
if (mrCluster != null) {
mrCluster.shutdown();
mrCluster = null;
}
if (dfsCluster != null) {
dfsCluster.shutdown();
dfsCluster = null;
}
}
/**
* Destroys Hadoop Cluster and DFS after a test case is run.
*
* @throws Exception
*/
protected void tearDown() throws Exception {
stopCluster();
super.tearDown();
}
/**
* Returns a preconfigured Filesystem instance for test cases to read and
* write files to it.
* <p/>
* TestCases should use this Filesystem instance.
*
* @return the filesystem used by Hadoop.
* @throws IOException
*/
protected FileSystem getFileSystem() throws IOException {
return dfsCluster.getFileSystem();
}
protected MiniMRCluster getMRCluster() {
return mrCluster;
}
/**
* Returns the path to the root directory for the testcase.
*
* @return path to the root directory for the testcase.
*/
protected Path getTestRootDir() {
return new Path("x").getParent();
}
/**
* Returns a path to the input directory for the testcase.
*
* @return path to the input directory for the tescase.
*/
protected Path getInputDir() {
return new Path("input");
}
/**
* Returns a path to the output directory for the testcase.
*
* @return path to the output directory for the tescase.
*/
protected Path getOutputDir() {
return new Path("output");
}
/**
* Returns a job configuration preconfigured to run against the Hadoop
* managed by the testcase.
*
* @return configuration that works on the testcase Hadoop instance
*/
protected JobConf createJobConf() {
return mrCluster.createJobConf();
}
}