mapreduce/src/contrib/gridmix/src/java/org/apache/hadoop/mapred/gridmix/Statistics.java - hadoop - Git at Google

 /**
  * 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
  * <p/>
  * http://www.apache.org/licenses/LICENSE-2.0
  * <p/>
  * 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.gridmix;

 import org.apache.commons.logging.Log;
 import org.apache.commons.logging.LogFactory;
 import org.apache.hadoop.conf.Configuration;
 import org.apache.hadoop.mapred.gridmix.Gridmix.Component;
 import org.apache.hadoop.mapreduce.Cluster;
 import org.apache.hadoop.mapreduce.ClusterMetrics;
 import org.apache.hadoop.mapreduce.Job;

 import java.io.IOException;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.concurrent.CountDownLatch;
 import java.util.concurrent.TimeUnit;
 import java.util.concurrent.locks.Condition;
 import java.util.concurrent.locks.ReentrantLock;

 /**
  * Component collecting the stats required by other components
  * to make decisions.
  * Single thread Collector tries to collec the stats.
  * Each of thread poll updates certain datastructure(Currently ClusterStats).
  * Components interested in these datastructure, need to register.
  * StatsCollector notifies each of the listeners.
  */
 public class Statistics implements Component<Job> {
   public static final Log LOG = LogFactory.getLog(Statistics.class);

   private final StatCollector statistics = new StatCollector();
   private final Cluster cluster;

   //List of cluster status listeners.
   private final List<StatListener<ClusterStats>> clusterStatlisteners =
     new ArrayList<StatListener<ClusterStats>>();

   //List of job status listeners.
   private final List<StatListener<JobStats>> jobStatListeners =
     new ArrayList<StatListener<JobStats>>();

   private int completedJobsInCurrentInterval = 0;
   private final int jtPollingInterval;
   private volatile boolean shutdown = false;
   private final int maxJobCompletedInInterval;
   private static final String MAX_JOBS_COMPLETED_IN_POLL_INTERVAL_KEY =
     "gridmix.max-jobs-completed-in-poll-interval";
   private final ReentrantLock lock = new ReentrantLock();
   private final Condition jobCompleted = lock.newCondition();
   private final CountDownLatch startFlag;

   public Statistics(
     Configuration conf, int pollingInterval, CountDownLatch startFlag)
     throws IOException {
     this.cluster = new Cluster(conf);
     this.jtPollingInterval = pollingInterval;
     maxJobCompletedInInterval = conf.getInt(
       MAX_JOBS_COMPLETED_IN_POLL_INTERVAL_KEY, 1);
     this.startFlag = startFlag;
   }

   /**
    * Used by JobMonitor to add the completed job.
    */
   @Override
   public void add(Job job) {
     //This thread will be notified initially by jobmonitor incase of
     //data generation. Ignore that as we are getting once the input is
     //generated.
     if (!statistics.isAlive()) {
       return;
     }
     completedJobsInCurrentInterval++;
     //check if we have reached the maximum level of job completions.
     if (completedJobsInCurrentInterval >= maxJobCompletedInInterval) {
       if (LOG.isDebugEnabled()) {
         LOG.debug(
           " Reached maximum limit of jobs in a polling interval " +
             completedJobsInCurrentInterval);
       }
       completedJobsInCurrentInterval = 0;
       lock.lock();
       try {
         //Job is completed notify all the listeners.
         if (jobStatListeners.size() > 0) {
           for (StatListener<JobStats> l : jobStatListeners) {
             JobStats stats = new JobStats();
             stats.setCompleteJob(job);
             l.update(stats);
           }
         }
         this.jobCompleted.signalAll();
       } finally {
         lock.unlock();
       }
     }
   }

   //TODO: We have just 2 types of listeners as of now . If no of listeners
   //increase then we should move to map kind of model.

   public void addClusterStatsObservers(StatListener<ClusterStats> listener) {
     clusterStatlisteners.add(listener);
   }

   public void addJobStatsListeners(StatListener<JobStats> listener) {
     this.jobStatListeners.add(listener);
   }

   /**
    * Attempt to start the service.
    */
   @Override
   public void start() {
     statistics.start();
   }

   private class StatCollector extends Thread {

     StatCollector() {
       super("StatsCollectorThread");
     }

     public void run() {
       try {
         startFlag.await();
         if (Thread.currentThread().isInterrupted()) {
           return;
         }
       } catch (InterruptedException ie) {
         LOG.error(
           "Statistics Error while waiting for other threads to get ready ", ie);
         return;
       }
       while (!shutdown) {
         lock.lock();
         try {
           jobCompleted.await(jtPollingInterval, TimeUnit.MILLISECONDS);
         } catch (InterruptedException ie) {
           LOG.error(
             "Statistics interrupt while waiting for polling " + ie.getCause(),
             ie);
           return;
         } finally {
           lock.unlock();
         }

         //Fetch cluster data only if required.i.e .
         // only if there are clusterStats listener.
         if (clusterStatlisteners.size() > 0) {
           try {
             ClusterMetrics clusterStatus = cluster.getClusterStatus();
             Job[] allJobs = cluster.getAllJobs();
             List<Job> runningWaitingJobs = getRunningWaitingJobs(allJobs);
             updateAndNotifyClusterStatsListeners(
               clusterStatus, runningWaitingJobs);
           } catch (IOException e) {
             LOG.error(
               "Statistics io exception while polling JT ", e);
             return;
           } catch (InterruptedException e) {
             LOG.error(
               "Statistics interrupt exception while polling JT ", e);
             return;
           }
         }
       }
     }

     private void updateAndNotifyClusterStatsListeners(
       ClusterMetrics clusterMetrics, List<Job> runningWaitingJobs) {
       ClusterStats stats = ClusterStats.getClusterStats();
       stats.setClusterMetric(clusterMetrics);
       stats.setRunningWaitingJobs(runningWaitingJobs);
       for (StatListener<ClusterStats> listener : clusterStatlisteners) {
         listener.update(stats);
       }
     }


     /**
      * From the list of Jobs , give the list of jobs whoes state is eigther
      * PREP or RUNNING.
      *
      * @param allJobs
      * @return
      * @throws java.io.IOException
      * @throws InterruptedException
      */
     private List<Job> getRunningWaitingJobs(Job[] allJobs)
       throws IOException, InterruptedException {
       List<Job> result = new ArrayList<Job>();
       for (Job job : allJobs) {
         //TODO Check if job.getStatus() makes a rpc call
         org.apache.hadoop.mapreduce.JobStatus.State state =
           job.getStatus().getState();
         if (org.apache.hadoop.mapreduce.JobStatus.State.PREP.equals(state) ||
           org.apache.hadoop.mapreduce.JobStatus.State.RUNNING.equals(state)) {
           result.add(job);
         }
       }
       return result;
     }
   }

   /**
    * Wait until the service completes. It is assumed that either a
    * {@link #shutdown} or {@link #abort} has been requested.
    */
   @Override
   public void join(long millis) throws InterruptedException {
     statistics.join(millis);
   }

   @Override
   public void shutdown() {
     shutdown = true;
     clusterStatlisteners.clear();
     jobStatListeners.clear();
     statistics.interrupt();
   }

   @Override
   public void abort() {
     shutdown = true;
     clusterStatlisteners.clear();
     jobStatListeners.clear();
     statistics.interrupt();
   }

   /**
    * Class to encapsulate the JobStats information.
    * Current we just need information about completedJob.
    * TODO: In future we need to extend this to send more information.
    */
   static class JobStats {
     private Job completedJob;

     public Job getCompleteJob() {
       return completedJob;
     }

     public void setCompleteJob(Job job) {
       this.completedJob = job;
     }
   }

   static class ClusterStats {
     private ClusterMetrics status = null;
     private static ClusterStats stats = new ClusterStats();
     private List<Job> runningWaitingJobs;

     private ClusterStats() {

     }

     /**
      * @return stats
      */
     static ClusterStats getClusterStats() {
       return stats;
     }

     /**
      * @param metrics
      */
     void setClusterMetric(ClusterMetrics metrics) {
       this.status = metrics;
     }

     /**
      * @return metrics
      */
     public ClusterMetrics getStatus() {
       return status;
     }

     /**
      * @return runningWatitingJobs
      */
     public List<Job> getRunningWaitingJobs() {
       return runningWaitingJobs;
     }

     public void setRunningWaitingJobs(List<Job> runningWaitingJobs) {
       this.runningWaitingJobs = runningWaitingJobs;
     }

   }
 }
	/**
	* 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
	* <p/>
	* http://www.apache.org/licenses/LICENSE-2.0
	* <p/>
	* 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.gridmix;

	import org.apache.commons.logging.Log;
	import org.apache.commons.logging.LogFactory;
	import org.apache.hadoop.conf.Configuration;
	import org.apache.hadoop.mapred.gridmix.Gridmix.Component;
	import org.apache.hadoop.mapreduce.Cluster;
	import org.apache.hadoop.mapreduce.ClusterMetrics;
	import org.apache.hadoop.mapreduce.Job;

	import java.io.IOException;
	import java.util.ArrayList;
	import java.util.List;
	import java.util.concurrent.CountDownLatch;
	import java.util.concurrent.TimeUnit;
	import java.util.concurrent.locks.Condition;
	import java.util.concurrent.locks.ReentrantLock;

	/**
	* Component collecting the stats required by other components
	* to make decisions.
	* Single thread Collector tries to collec the stats.
	* Each of thread poll updates certain datastructure(Currently ClusterStats).
	* Components interested in these datastructure, need to register.
	* StatsCollector notifies each of the listeners.
	*/
	public class Statistics implements Component<Job> {
	public static final Log LOG = LogFactory.getLog(Statistics.class);

	private final StatCollector statistics = new StatCollector();
	private final Cluster cluster;

	//List of cluster status listeners.
	private final List<StatListener<ClusterStats>> clusterStatlisteners =
	new ArrayList<StatListener<ClusterStats>>();

	//List of job status listeners.
	private final List<StatListener<JobStats>> jobStatListeners =
	new ArrayList<StatListener<JobStats>>();

	private int completedJobsInCurrentInterval = 0;
	private final int jtPollingInterval;
	private volatile boolean shutdown = false;
	private final int maxJobCompletedInInterval;
	private static final String MAX_JOBS_COMPLETED_IN_POLL_INTERVAL_KEY =
	"gridmix.max-jobs-completed-in-poll-interval";
	private final ReentrantLock lock = new ReentrantLock();
	private final Condition jobCompleted = lock.newCondition();
	private final CountDownLatch startFlag;

	public Statistics(
	Configuration conf, int pollingInterval, CountDownLatch startFlag)
	throws IOException {
	this.cluster = new Cluster(conf);
	this.jtPollingInterval = pollingInterval;
	maxJobCompletedInInterval = conf.getInt(
	MAX_JOBS_COMPLETED_IN_POLL_INTERVAL_KEY, 1);
	this.startFlag = startFlag;
	}

	/**
	* Used by JobMonitor to add the completed job.
	*/
	@Override
	public void add(Job job) {
	//This thread will be notified initially by jobmonitor incase of
	//data generation. Ignore that as we are getting once the input is
	//generated.
	if (!statistics.isAlive()) {
	return;
	}
	completedJobsInCurrentInterval++;
	//check if we have reached the maximum level of job completions.
	if (completedJobsInCurrentInterval >= maxJobCompletedInInterval) {
	if (LOG.isDebugEnabled()) {
	LOG.debug(
	" Reached maximum limit of jobs in a polling interval " +
	completedJobsInCurrentInterval);
	}
	completedJobsInCurrentInterval = 0;
	lock.lock();
	try {
	//Job is completed notify all the listeners.
	if (jobStatListeners.size() > 0) {
	for (StatListener<JobStats> l : jobStatListeners) {
	JobStats stats = new JobStats();
	stats.setCompleteJob(job);
	l.update(stats);
	}
	}
	this.jobCompleted.signalAll();
	} finally {
	lock.unlock();
	}
	}
	}

	//TODO: We have just 2 types of listeners as of now . If no of listeners
	//increase then we should move to map kind of model.

	public void addClusterStatsObservers(StatListener<ClusterStats> listener) {
	clusterStatlisteners.add(listener);
	}

	public void addJobStatsListeners(StatListener<JobStats> listener) {
	this.jobStatListeners.add(listener);
	}

	/**
	* Attempt to start the service.
	*/
	@Override
	public void start() {
	statistics.start();
	}

	private class StatCollector extends Thread {

	StatCollector() {
	super("StatsCollectorThread");
	}

	public void run() {
	try {
	startFlag.await();
	if (Thread.currentThread().isInterrupted()) {
	return;
	}
	} catch (InterruptedException ie) {
	LOG.error(
	"Statistics Error while waiting for other threads to get ready ", ie);
	return;
	}
	while (!shutdown) {
	lock.lock();
	try {
	jobCompleted.await(jtPollingInterval, TimeUnit.MILLISECONDS);
	} catch (InterruptedException ie) {
	LOG.error(
	"Statistics interrupt while waiting for polling " + ie.getCause(),
	ie);
	return;
	} finally {
	lock.unlock();
	}

	//Fetch cluster data only if required.i.e .
	// only if there are clusterStats listener.
	if (clusterStatlisteners.size() > 0) {
	try {
	ClusterMetrics clusterStatus = cluster.getClusterStatus();
	Job[] allJobs = cluster.getAllJobs();
	List<Job> runningWaitingJobs = getRunningWaitingJobs(allJobs);
	updateAndNotifyClusterStatsListeners(
	clusterStatus, runningWaitingJobs);
	} catch (IOException e) {
	LOG.error(
	"Statistics io exception while polling JT ", e);
	return;
	} catch (InterruptedException e) {
	LOG.error(
	"Statistics interrupt exception while polling JT ", e);
	return;
	}
	}
	}
	}

	private void updateAndNotifyClusterStatsListeners(
	ClusterMetrics clusterMetrics, List<Job> runningWaitingJobs) {
	ClusterStats stats = ClusterStats.getClusterStats();
	stats.setClusterMetric(clusterMetrics);
	stats.setRunningWaitingJobs(runningWaitingJobs);
	for (StatListener<ClusterStats> listener : clusterStatlisteners) {
	listener.update(stats);
	}
	}


	/**
	* From the list of Jobs , give the list of jobs whoes state is eigther
	* PREP or RUNNING.
	*
	* @param allJobs
	* @return
	* @throws java.io.IOException
	* @throws InterruptedException
	*/
	private List<Job> getRunningWaitingJobs(Job[] allJobs)
	throws IOException, InterruptedException {
	List<Job> result = new ArrayList<Job>();
	for (Job job : allJobs) {
	//TODO Check if job.getStatus() makes a rpc call
	org.apache.hadoop.mapreduce.JobStatus.State state =
	job.getStatus().getState();
	if (org.apache.hadoop.mapreduce.JobStatus.State.PREP.equals(state) \|\|
	org.apache.hadoop.mapreduce.JobStatus.State.RUNNING.equals(state)) {
	result.add(job);
	}
	}
	return result;
	}
	}

	/**
	* Wait until the service completes. It is assumed that either a
	* {@link #shutdown} or {@link #abort} has been requested.
	*/
	@Override
	public void join(long millis) throws InterruptedException {
	statistics.join(millis);
	}

	@Override
	public void shutdown() {
	shutdown = true;
	clusterStatlisteners.clear();
	jobStatListeners.clear();
	statistics.interrupt();
	}

	@Override
	public void abort() {
	shutdown = true;
	clusterStatlisteners.clear();
	jobStatListeners.clear();
	statistics.interrupt();
	}

	/**
	* Class to encapsulate the JobStats information.
	* Current we just need information about completedJob.
	* TODO: In future we need to extend this to send more information.
	*/
	static class JobStats {
	private Job completedJob;

	public Job getCompleteJob() {
	return completedJob;
	}

	public void setCompleteJob(Job job) {
	this.completedJob = job;
	}
	}

	static class ClusterStats {
	private ClusterMetrics status = null;
	private static ClusterStats stats = new ClusterStats();
	private List<Job> runningWaitingJobs;

	private ClusterStats() {

	}

	/**
	* @return stats
	*/
	static ClusterStats getClusterStats() {
	return stats;
	}

	/**
	* @param metrics
	*/
	void setClusterMetric(ClusterMetrics metrics) {
	this.status = metrics;
	}

	/**
	* @return metrics
	*/
	public ClusterMetrics getStatus() {
	return status;
	}

	/**
	* @return runningWatitingJobs
	*/
	public List<Job> getRunningWaitingJobs() {
	return runningWaitingJobs;
	}

	public void setRunningWaitingJobs(List<Job> runningWaitingJobs) {
	this.runningWaitingJobs = runningWaitingJobs;
	}

	}
	}