TestCapacitySchedulerWithJobTracker.java

/**
 * 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 static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import static org.junit.Assert.fail;

import java.io.IOException;
import java.util.Properties;

import org.apache.hadoop.examples.SleepJob;
import org.junit.Test;


public class TestCapacitySchedulerWithJobTracker extends
    ClusterWithCapacityScheduler {

  /**
   * Test case which checks if the jobs which fail initialization are removed
   * from the {@link CapacityTaskScheduler} waiting queue.
   * 
   * @throws Exception
   */
  @Test
  public void testFailingJobInitalization() throws Exception {
    Properties schedulerProps = new Properties();
    schedulerProps.put("mapred.capacity-scheduler.queue.default.capacity",
        "100");
    Properties clusterProps = new Properties();
    clusterProps.put("mapred.tasktracker.map.tasks.maximum", String.valueOf(1));
    clusterProps.put("mapred.tasktracker.reduce.tasks.maximum", String
        .valueOf(1));
    clusterProps.put("mapred.jobtracker.maxtasks.per.job", String.valueOf(1));
    // cluster capacity 1 maps, 1 reduces
    startCluster(1, clusterProps, schedulerProps);
    JobConf conf = getJobConf();
    conf.setSpeculativeExecution(false);
    conf.set("mapred.committer.job.setup.cleanup.needed", "false");
    conf.setNumTasksToExecutePerJvm(-1);
    SleepJob sleepJob = new SleepJob();
    sleepJob.setConf(conf);
    JobConf job = sleepJob.setupJobConf(3, 3, 1, 1, 1, 1);
    RunningJob rjob;
    try {
      rjob = runJob(job, false);
      fail("The job should have thrown Exception");
    } catch (Exception e) {
      CapacityTaskScheduler scheduler = (CapacityTaskScheduler) getJobTracker()
          .getTaskScheduler();
      JobQueuesManager mgr = scheduler.jobQueuesManager;
      assertEquals("Failed job present in Waiting queue", 0, mgr
          .getQueue("default").getNumWaitingJobs());
    }
  }

  /**
   * Test case which checks {@link JobTracker} and {@link CapacityTaskScheduler}
   * 
   * Test case submits 2 jobs in two different capacity scheduler queues. And
   * checks if the jobs successfully complete.
   * 
   * @throws Exception
   */
  @Test
  public void testJobTrackerIntegration() throws Exception {

    Properties schedulerProps = new Properties();
    String[] queues = new String[] { "Q1", "Q2" };
    RunningJob jobs[] = new RunningJob[2];
    for (String q : queues) {
      schedulerProps.put(CapacitySchedulerConf
          .toFullPropertyName(q, "capacity"), "50");
      schedulerProps.put(CapacitySchedulerConf.toFullPropertyName(q,
          "minimum-user-limit-percent"), "100");
    }

    Properties clusterProps = new Properties();
    clusterProps.put("mapred.tasktracker.map.tasks.maximum", String.valueOf(2));
    clusterProps.put("mapred.tasktracker.reduce.tasks.maximum", String
        .valueOf(2));
    clusterProps.put("mapred.queue.names", queues[0] + "," + queues[1]);
    startCluster(2, clusterProps, schedulerProps);

    JobConf conf = getJobConf();
    conf.setSpeculativeExecution(false);
    conf.set("mapred.committer.job.setup.cleanup.needed", "false");
    conf.setNumTasksToExecutePerJvm(-1);
    conf.setQueueName(queues[0]);
    SleepJob sleepJob1 = new SleepJob();
    sleepJob1.setConf(conf);
    JobConf sleepJobConf = sleepJob1.setupJobConf(1, 1, 1, 1, 1, 1);
    jobs[0] = runJob(sleepJobConf, true);

    JobConf conf2 = getJobConf();
    conf2.setSpeculativeExecution(false);
    conf2.set("mapred.committer.job.setup.cleanup.needed", "false");
    conf2.setNumTasksToExecutePerJvm(-1);
    conf2.setQueueName(queues[1]);
    SleepJob sleepJob2 = new SleepJob();
    sleepJob2.setConf(conf2);
    JobConf sleep2 = sleepJob2.setupJobConf(3, 3, 5, 3, 5, 3);
    jobs[1] = runJob(sleep2, false);
    assertTrue("Sleep job submitted to queue 1 is not successful", jobs[0]
        .isSuccessful());
    assertTrue("Sleep job submitted to queue 2 is not successful", jobs[1]
        .isSuccessful());
  }

  private RunningJob runJob(JobConf conf, boolean inBackGround)
      throws IOException {
    if (!inBackGround) {
      RunningJob rjob = JobClient.runJob(conf);
      return rjob;
    } else {
      RunningJob rJob = new JobClient(conf).submitJob(conf);
      return rJob;
    }
  }
}