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Hadoop is the distributed computing framework of Apache; hadoop-core contains
the filesystem, job tracker and map/reduce modules
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/**
* 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.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.ArrayList;
import java.util.Collection;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.Writable;
import org.apache.hadoop.io.WritableUtils;
/**
* Status information on the current state of the Map-Reduce cluster.
*
* ClusterStatus
provides clients with information such as:
*
* -
* Size of the cluster.
*
* -
* Name of the trackers.
*
* -
* Task capacity of the cluster.
*
* -
* The number of currently running map & reduce tasks.
*
* -
* State of the
JobTracker
.
*
*
*
* Clients can query for the latest ClusterStatus
, via
* {@link JobClient#getClusterStatus()}.
*
* @see JobClient
*/
public class ClusterStatus implements Writable {
private int numActiveTrackers;
private Collection activeTrackers = new ArrayList();
private Collection blacklistedTrackers = new ArrayList();
private int numBlacklistedTrackers;
private long ttExpiryInterval;
private int map_tasks;
private int reduce_tasks;
private int max_map_tasks;
private int max_reduce_tasks;
private JobTracker.State state;
private long used_memory;
private long max_memory;
ClusterStatus() {}
/**
* Construct a new cluster status.
*
* @param trackers no. of tasktrackers in the cluster
* @param maps no. of currently running map-tasks in the cluster
* @param reduces no. of currently running reduce-tasks in the cluster
* @param maxMaps the maximum no. of map tasks in the cluster
* @param maxReduces the maximum no. of reduce tasks in the cluster
* @param state the {@link JobTracker.State} of the JobTracker
* @deprecated
*/
@Deprecated
ClusterStatus(int trackers, int maps, int reduces, int maxMaps,
int maxReduces, JobTracker.State state) {
this(trackers, 0, JobTracker.TASKTRACKER_EXPIRY_INTERVAL, maps, reduces,
maxMaps, maxReduces, state);
}
/**
* Construct a new cluster status.
*
* @param trackers no. of tasktrackers in the cluster
* @param blacklists no of blacklisted task trackers in the cluster
* @param ttExpiryInterval the tasktracker expiry interval
* @param maps no. of currently running map-tasks in the cluster
* @param reduces no. of currently running reduce-tasks in the cluster
* @param maxMaps the maximum no. of map tasks in the cluster
* @param maxReduces the maximum no. of reduce tasks in the cluster
* @param state the {@link JobTracker.State} of the JobTracker
*/
ClusterStatus(int trackers, int blacklists, long ttExpiryInterval,
int maps, int reduces,
int maxMaps, int maxReduces, JobTracker.State state) {
numActiveTrackers = trackers;
numBlacklistedTrackers = blacklists;
this.ttExpiryInterval = ttExpiryInterval;
map_tasks = maps;
reduce_tasks = reduces;
max_map_tasks = maxMaps;
max_reduce_tasks = maxReduces;
this.state = state;
used_memory = Runtime.getRuntime().totalMemory();
max_memory = Runtime.getRuntime().maxMemory();
}
/**
* Construct a new cluster status.
*
* @param activeTrackers active tasktrackers in the cluster
* @param blacklistedTrackers blacklisted tasktrackers in the cluster
* @param ttExpiryInterval the tasktracker expiry interval
* @param maps no. of currently running map-tasks in the cluster
* @param reduces no. of currently running reduce-tasks in the cluster
* @param maxMaps the maximum no. of map tasks in the cluster
* @param maxReduces the maximum no. of reduce tasks in the cluster
* @param state the {@link JobTracker.State} of the JobTracker
*/
ClusterStatus(Collection activeTrackers,
Collection blacklistedTrackers,
long ttExpiryInterval,
int maps, int reduces, int maxMaps, int maxReduces,
JobTracker.State state) {
this(activeTrackers.size(), blacklistedTrackers.size(), ttExpiryInterval,
maps, reduces, maxMaps, maxReduces, state);
this.activeTrackers = activeTrackers;
this.blacklistedTrackers = blacklistedTrackers;
}
/**
* Get the number of task trackers in the cluster.
*
* @return the number of task trackers in the cluster.
*/
public int getTaskTrackers() {
return numActiveTrackers;
}
/**
* Get the names of task trackers in the cluster.
*
* @return the active task trackers in the cluster.
*/
public Collection getActiveTrackerNames() {
return activeTrackers;
}
/**
* Get the names of task trackers in the cluster.
*
* @return the blacklisted task trackers in the cluster.
*/
public Collection getBlacklistedTrackerNames() {
return blacklistedTrackers;
}
/**
* Get the number of blacklisted task trackers in the cluster.
*
* @return the number of blacklisted task trackers in the cluster.
*/
public int getBlacklistedTrackers() {
return numBlacklistedTrackers;
}
/**
* Get the tasktracker expiry interval for the cluster
* @return the expiry interval in msec
*/
public long getTTExpiryInterval() {
return ttExpiryInterval;
}
/**
* Get the number of currently running map tasks in the cluster.
*
* @return the number of currently running map tasks in the cluster.
*/
public int getMapTasks() {
return map_tasks;
}
/**
* Get the number of currently running reduce tasks in the cluster.
*
* @return the number of currently running reduce tasks in the cluster.
*/
public int getReduceTasks() {
return reduce_tasks;
}
/**
* Get the maximum capacity for running map tasks in the cluster.
*
* @return the maximum capacity for running map tasks in the cluster.
*/
public int getMaxMapTasks() {
return max_map_tasks;
}
/**
* Get the maximum capacity for running reduce tasks in the cluster.
*
* @return the maximum capacity for running reduce tasks in the cluster.
*/
public int getMaxReduceTasks() {
return max_reduce_tasks;
}
/**
* Get the current state of the JobTracker
,
* as {@link JobTracker.State}
*
* @return the current state of the JobTracker
.
*/
public JobTracker.State getJobTrackerState() {
return state;
}
/**
* Get the total heap memory used by the JobTracker
*
* @return the size of heap memory used by the JobTracker
*/
public long getUsedMemory() {
return used_memory;
}
/**
* Get the maximum configured heap memory that can be used by the JobTracker
*
* @return the configured size of max heap memory that can be used by the JobTracker
*/
public long getMaxMemory() {
return max_memory;
}
public void write(DataOutput out) throws IOException {
if (activeTrackers.size() == 0) {
out.writeInt(numActiveTrackers);
out.writeInt(0);
} else {
out.writeInt(activeTrackers.size());
out.writeInt(activeTrackers.size());
for (String tracker : activeTrackers) {
Text.writeString(out, tracker);
}
}
if (blacklistedTrackers.size() == 0) {
out.writeInt(numBlacklistedTrackers);
out.writeInt(0);
} else {
out.writeInt(blacklistedTrackers.size());
out.writeInt(blacklistedTrackers.size());
for (String tracker : blacklistedTrackers) {
Text.writeString(out, tracker);
}
}
out.writeLong(ttExpiryInterval);
out.writeInt(map_tasks);
out.writeInt(reduce_tasks);
out.writeInt(max_map_tasks);
out.writeInt(max_reduce_tasks);
out.writeLong(used_memory);
out.writeLong(max_memory);
WritableUtils.writeEnum(out, state);
}
public void readFields(DataInput in) throws IOException {
numActiveTrackers = in.readInt();
int numTrackerNames = in.readInt();
if (numTrackerNames > 0) {
for (int i = 0; i < numTrackerNames; i++) {
String name = Text.readString(in);
activeTrackers.add(name);
}
}
numBlacklistedTrackers = in.readInt();
numTrackerNames = in.readInt();
if (numTrackerNames > 0) {
for (int i = 0; i < numTrackerNames; i++) {
String name = Text.readString(in);
blacklistedTrackers.add(name);
}
}
ttExpiryInterval = in.readLong();
map_tasks = in.readInt();
reduce_tasks = in.readInt();
max_map_tasks = in.readInt();
max_reduce_tasks = in.readInt();
used_memory = in.readLong();
max_memory = in.readLong();
state = WritableUtils.readEnum(in, JobTracker.State.class);
}
}