/** * Licensed 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 java.io.File; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.mapreduce.test.system.JTProtocol; import org.apache.hadoop.mapreduce.test.system.MRCluster; import org.apache.hadoop.mapreduce.test.system.TTClient; import org.apache.hadoop.mapreduce.test.system.MRCluster.Role; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; import org.junit.AfterClass; import org.junit.Assert; import org.junit.BeforeClass; import org.junit.Test; import java.util.List; import java.util.ArrayList; public class TestHiRamJobWithBlackListTT { static final Log LOG = LogFactory.getLog(TestHiRamJobWithBlackListTT.class); private static HealthScriptHelper bListHelper = null; public static String remotePath; public static MRCluster cluster; @BeforeClass public static void setUp() throws java.lang.Exception { String [] expExcludeList = new String[2]; expExcludeList[0] = "java.net.ConnectException"; expExcludeList[1] = "java.io.IOException"; cluster = MRCluster.createCluster(new Configuration()); cluster.setExcludeExpList(expExcludeList); cluster.setUp(); bListHelper = new HealthScriptHelper(); remotePath = cluster.getConf().get(TestHealthScriptError.remoteHSPath); } /** Black List more than 25 % of task trackers , run the high ram * job and make sure that no exception is thrown. * @throws Exception If fails to blacklist TT or run high ram high */ @Test public void testHiRamJobBlackListedTaskTrackers() throws Exception { final HighRamJobHelper hRamHelper = new HighRamJobHelper(); List<TTClient> bListedTT = new ArrayList<TTClient>(); List<TTClient> tClient = cluster.getTTClients(); int count = tClient.size(); int moreThan25Per = count / 4 +1; LOG.info ("More than 25 % of TTclient is "+moreThan25Per); for (int i=0; i < moreThan25Per ; ++i) { TTClient client = tClient.get(i); bListedTT.add(client); blackListTT(client); } //Now run the high ram job JobClient jobClient = cluster.getJTClient().getClient(); JTProtocol remoteJTClient = cluster.getJTClient().getProxy(); Configuration conf = remoteJTClient.getDaemonConf(); hRamHelper.runHighRamJob(conf, jobClient, remoteJTClient, "Job did not succeed"); //put the task tracker back in healthy state for( int i =0; i < bListedTT.size() ; ++i) { unBlackListTT(bListedTT.get(i)); } } @AfterClass public static void tearDown() throws Exception { cluster.tearDown(); } private void unBlackListTT (TTClient client) throws Exception{ //Now put back the task tracker in a healthy state cluster.restart(client, Role.TT); bListHelper.deleteFileOnRemoteHost(remotePath + File.separator + TestHealthScriptError.healthScriptError, client.getHostName()); } private void blackListTT(TTClient client) throws Exception { Configuration tConf= client.getProxy().getDaemonConf(); tConf.set("mapred.task.tracker.report.address", cluster.getConf().get("mapred.task.tracker.report.address")); String defaultHealthScript = tConf.get("mapred.healthChecker.script.path"); Assert.assertTrue("Health script was not set", defaultHealthScript != null); tConf.set("mapred.healthChecker.script.path", remotePath+File.separator+ TestHealthScriptError.healthScriptError); tConf.setInt("mapred.healthChecker.interval", 1000); bListHelper.copyFileToRemoteHost(TestHealthScriptError.healthScriptError, client.getHostName(), remotePath, cluster); cluster.restartDaemonWithNewConfig(client, "mapred-site.xml", tConf, Role.TT); //make sure the TT is blacklisted bListHelper.verifyTTBlackList(tConf, client, "ERROR Task Tracker status is fatal", cluster); } }