| /** |
| * 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 java.util.Properties; |
| |
| import org.apache.commons.logging.Log; |
| import org.apache.commons.logging.LogFactory; |
| import org.apache.hadoop.mapred.ControlledMapReduceJob.ControlledMapReduceJobRunner; |
| import org.apache.hadoop.mapreduce.server.tasktracker.TTConfig; |
| |
| /** |
| * Test to verify the controlled behavior of a ControlledMapReduceJob. |
| * |
| */ |
| public class TestControlledMapReduceJob extends ClusterMapReduceTestCase { |
| static final Log LOG = LogFactory.getLog(TestControlledMapReduceJob.class); |
| |
| /** |
| * Starts a job with 5 maps and 5 reduces. Then controls the finishing of |
| * tasks. Signals finishing tasks in batches and then verifies their |
| * completion. |
| * |
| * @throws Exception |
| */ |
| public void testControlledMapReduceJob() |
| throws Exception { |
| |
| Properties props = new Properties(); |
| props.setProperty(TTConfig.TT_MAP_SLOTS, "2"); |
| props.setProperty(TTConfig.TT_REDUCE_SLOTS, "2"); |
| startCluster(true, props); |
| LOG.info("Started the cluster"); |
| |
| ControlledMapReduceJobRunner jobRunner = |
| ControlledMapReduceJobRunner |
| .getControlledMapReduceJobRunner(createJobConf(), 7, 6); |
| jobRunner.start(); |
| ControlledMapReduceJob controlledJob = jobRunner.getJob(); |
| JobInProgress jip = |
| getMRCluster().getJobTrackerRunner().getJobTracker().getJob( |
| jobRunner.getJobID()); |
| |
| ControlledMapReduceJob.waitTillNTasksStartRunning(jip, true, 4); |
| LOG.info("Finishing 3 maps"); |
| controlledJob.finishNTasks(true, 3); |
| ControlledMapReduceJob.waitTillNTotalTasksFinish(jip, true, 3); |
| |
| ControlledMapReduceJob.waitTillNTasksStartRunning(jip, true, 4); |
| LOG.info("Finishing 4 more maps"); |
| controlledJob.finishNTasks(true, 4); |
| ControlledMapReduceJob.waitTillNTotalTasksFinish(jip, true, 7); |
| |
| ControlledMapReduceJob.waitTillNTasksStartRunning(jip, false, 4); |
| LOG.info("Finishing 2 reduces"); |
| controlledJob.finishNTasks(false, 2); |
| ControlledMapReduceJob.waitTillNTotalTasksFinish(jip, false, 2); |
| |
| ControlledMapReduceJob.waitTillNTasksStartRunning(jip, false, 4); |
| LOG.info("Finishing 4 more reduces"); |
| controlledJob.finishNTasks(false, 4); |
| ControlledMapReduceJob.waitTillNTotalTasksFinish(jip, false, 6); |
| |
| jobRunner.join(); |
| } |
| } |