/**
 * 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.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.MRJobConfig;
import org.apache.hadoop.mapreduce.server.jobtracker.JTConfig;
import org.apache.hadoop.mapreduce.server.tasktracker.TTConfig;
import org.apache.hadoop.mapreduce.SleepJob;

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
   */
  public void testFailingJobInitalization() throws Exception {
    Properties schedulerProps = new Properties();
    Properties clusterProps = new Properties();
    clusterProps.put("mapred.queue.names","default");
    clusterProps.put(TTConfig.TT_MAP_SLOTS, String.valueOf(1));
    clusterProps.put(TTConfig.TT_REDUCE_SLOTS, String.valueOf(1));
    clusterProps.put(JTConfig.JT_TASKS_PER_JOB, String.valueOf(1));
    clusterProps.put(JTConfig.JT_PERSIST_JOBSTATUS, "false");
    // cluster capacity 1 maps, 1 reduces
    startCluster(1, clusterProps, schedulerProps);
    CapacityTaskScheduler scheduler = (CapacityTaskScheduler) getJobTracker()
      .getTaskScheduler();

     AbstractQueue root = scheduler.getRoot();
     root.getChildren().get(0).getQueueSchedulingContext().setCapacityPercent(100);

    JobConf conf = getJobConf();
    conf.setSpeculativeExecution(false);
    conf.setNumTasksToExecutePerJvm(-1);
    SleepJob sleepJob = new SleepJob();
    sleepJob.setConf(conf);
    Job job = sleepJob.createJob(3, 3, 1, 1, 1, 1);
    job.waitForCompletion(false);
    assertFalse(
      "The submitted job successfully completed",
      job.isSuccessful());

    JobQueuesManager mgr = scheduler.jobQueuesManager;
    assertEquals(
      "Failed job present in Waiting queue", 0, mgr
        .getJobQueue("default").getWaitingJobCount());
  }

  /**
   * Test case which checks {@link JobTracker} and {@link CapacityTaskScheduler}
   * <p/>
   * Test case submits 2 jobs in two different capacity scheduler queues.
   * And checks if the jobs successfully complete.
   *
   * @throws Exception
   */

  public void testJobTrackerIntegration() throws Exception {

    Properties schedulerProps = new Properties();
    String[] queues = new String[]{"Q1", "Q2"};
    Job jobs[] = new Job[2];

    Properties clusterProps = new Properties();
    clusterProps.put(TTConfig.TT_MAP_SLOTS, String.valueOf(2));
    clusterProps.put(TTConfig.TT_REDUCE_SLOTS, String.valueOf(2));
    clusterProps.put("mapred.queue.names", queues[0] + "," + queues[1]);
    clusterProps.put(JTConfig.JT_PERSIST_JOBSTATUS, "false");
    startCluster(2, clusterProps, schedulerProps);
    CapacityTaskScheduler scheduler = (CapacityTaskScheduler) getJobTracker()
      .getTaskScheduler();


    AbstractQueue root = scheduler.getRoot();

    for(AbstractQueue q : root.getChildren()) {
      q.getQueueSchedulingContext().setCapacityPercent(50);
      q.getQueueSchedulingContext().setUlMin(100);
    }


    LOG.info("WE CREATED THE QUEUES TEST 2");
   // scheduler.taskTrackerManager.getQueueManager().setQueues(qs);
   // scheduler.start();

    JobConf conf = getJobConf();
    conf.setSpeculativeExecution(false);
    conf.set(MRJobConfig.SETUP_CLEANUP_NEEDED, "false");
    conf.setNumTasksToExecutePerJvm(-1);
    conf.setQueueName(queues[0]);
    SleepJob sleepJob1 = new SleepJob();
    sleepJob1.setConf(conf);
    jobs[0] = sleepJob1.createJob(1, 1, 1, 1, 1, 1);
    jobs[0].submit();

    JobConf conf2 = getJobConf();
    conf2.setSpeculativeExecution(false);
    conf2.setNumTasksToExecutePerJvm(-1);
    conf2.setQueueName(queues[1]);
    SleepJob sleepJob2 = new SleepJob();
    sleepJob2.setConf(conf2);
    jobs[1] = sleepJob2.createJob(3, 3, 5, 3, 5, 3);
    jobs[1].waitForCompletion(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());
  }
}