/** * 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.v2; import java.io.File; import java.io.IOException; import junit.framework.Assert; import org.apache.commons.logging.Log; import org.apache.commons.logging.LogFactory; import org.apache.hadoop.SleepJob; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.FileSystem; import org.apache.hadoop.fs.Path; import org.apache.hadoop.fs.permission.FsPermission; import org.apache.hadoop.mapred.JobConf; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.JobStatus; import org.apache.hadoop.mapreduce.v2.MiniMRYarnCluster; import org.junit.After; import org.junit.Before; import org.junit.Test; public class TestMRAMWithNonNormalizedCapabilities { private static final Log LOG = LogFactory.getLog(TestMRAMWithNonNormalizedCapabilities.class); private static FileSystem localFs; protected static MiniMRYarnCluster mrCluster = null; private static Configuration conf = new Configuration(); static { try { localFs = FileSystem.getLocal(conf); } catch (IOException io) { throw new RuntimeException("problem getting local fs", io); } } private static Path TEST_ROOT_DIR = new Path("target", TestMRAMWithNonNormalizedCapabilities.class.getName() + "-tmpDir") .makeQualified(localFs.getUri(), localFs.getWorkingDirectory()); static Path APP_JAR = new Path(TEST_ROOT_DIR, "MRAppJar.jar"); @Before public void setup() throws Exception { if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) { LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR + " not found. Not running test."); return; } if (mrCluster == null) { mrCluster = new MiniMRYarnCluster(getClass().getName()); mrCluster.init(new Configuration()); mrCluster.start(); } // Copy MRAppJar and make it private. TODO: FIXME. This is a hack to // workaround the absent public discache. localFs.copyFromLocalFile(new Path(MiniMRYarnCluster.APPJAR), APP_JAR); localFs.setPermission(APP_JAR, new FsPermission("700")); } /** * To ensure nothing broken after we removed normalization * from the MRAM side * @throws Exception */ @Test public void testJobWithNonNormalizedCapabilities() throws Exception { if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) { LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR + " not found. Not running test."); return; } JobConf jobConf = new JobConf(mrCluster.getConfig()); jobConf.setInt("mapreduce.map.memory.mb", 700); jobConf.setInt("mapred.reduce.memory.mb", 1500); SleepJob sleepJob = new SleepJob(); sleepJob.setConf(jobConf); Job job = sleepJob.createJob(3, 2, 1000, 1, 500, 1); job.setJarByClass(SleepJob.class); job.addFileToClassPath(APP_JAR); // The AppMaster jar itself. job.submit(); boolean completed = job.waitForCompletion(true); Assert.assertTrue("Job should be completed", completed); Assert.assertEquals("Job should be finished successfully", JobStatus.State.SUCCEEDED, job.getJobState()); } @After public void tearDown() { if (!(new File(MiniMRYarnCluster.APPJAR)).exists()) { LOG.info("MRAppJar " + MiniMRYarnCluster.APPJAR + " not found. Not running test."); return; } if (mrCluster != null) { mrCluster.stop(); } } }