org.apache.hadoop.mapreduce.lib.map.MultithreadedMapper Maven / Gradle / Ivy
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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 org.apache.hadoop.shaded.com.liance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org.apache.hadoop.shaded.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.shaded.org.apache.hadoop.mapreduce.lib.map;
import org.apache.hadoop.shaded.org.apache.hadoop.util.ReflectionUtils;
import org.apache.hadoop.shaded.org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.shaded.org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.shaded.org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.Counter;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.MapContext;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.StatusReporter;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.task.MapContextImpl;
import org.apache.hadoop.shaded.org.slf4j.Logger;
import org.apache.hadoop.shaded.org.slf4j.LoggerFactory;
import java.org.apache.hadoop.shaded.io.IOException;
import java.util.ArrayList;
import java.util.List;
/**
* Multithreaded implementation for @link org.apache.hadoop.shaded.org.apache.hadoop.mapreduce.Mapper.
*
* It can be used instead of the default implementation,
* {@link org.apache.hadoop.shaded.org.apache.hadoop.mapred.MapRunner}, when the Map operation is not CPU
* bound in order to improve throughput.
*
* Mapper implementations using this MapRunnable must be thread-safe.
*
* The Map-Reduce job has to be configured with the mapper to use via
* {@link #setMapperClass(Job, Class)} and
* the number of thread the thread-pool can use with the
* {@link #getNumberOfThreads(JobContext)} method. The default
* value is 10 threads.
*
*/
@InterfaceAudience.Public
@InterfaceStability.Stable
public class MultithreadedMapper
extends Mapper {
private static final Logger LOG =
LoggerFactory.getLogger(MultithreadedMapper.class);
public static String NUM_THREADS = "mapreduce.mapper.multithreadedmapper.threads";
public static String MAP_CLASS = "mapreduce.mapper.multithreadedmapper.mapclass";
private Class extends Mapper> mapClass;
private Context outer;
private List runners;
/**
* The number of threads in the thread pool that will run the map function.
* @param job the job
* @return the number of threads
*/
public static int getNumberOfThreads(JobContext job) {
return job.getConfiguration().getInt(NUM_THREADS, 10);
}
/**
* Set the number of threads in the pool for running maps.
* @param job the job to modify
* @param threads the new number of threads
*/
public static void setNumberOfThreads(Job job, int threads) {
job.getConfiguration().setInt(NUM_THREADS, threads);
}
/**
* Get the application's mapper class.
* @param the map's input key type
* @param the map's input value type
* @param the map's output key type
* @param the map's output value type
* @param job the job
* @return the mapper class to run
*/
@SuppressWarnings("unchecked")
public static
Class> getMapperClass(JobContext job) {
return (Class>)
job.getConfiguration().getClass(MAP_CLASS, Mapper.class);
}
/**
* Set the application's mapper class.
* @param the map input key type
* @param the map input value type
* @param the map output key type
* @param the map output value type
* @param job the job to modify
* @param cls the class to use as the mapper
*/
public static
void setMapperClass(Job job,
Class extends Mapper> cls) {
if (MultithreadedMapper.class.isAssignableFrom(cls)) {
throw new IllegalArgumentException("Can't have recursive " +
"MultithreadedMapper instances.");
}
job.getConfiguration().setClass(MAP_CLASS, cls, Mapper.class);
}
/**
* Run the application's maps using a thread pool.
*/
@Override
public void run(Context context) throws IOException, InterruptedException {
outer = context;
int numberOfThreads = getNumberOfThreads(context);
mapClass = getMapperClass(context);
if (LOG.isDebugEnabled()) {
LOG.debug("Configuring multithread runner to use " + numberOfThreads +
" threads");
}
runners = new ArrayList(numberOfThreads);
for(int i=0; i < numberOfThreads; ++i) {
MapRunner thread = new MapRunner(context);
thread.start();
runners.add(i, thread);
}
for(int i=0; i < numberOfThreads; ++i) {
MapRunner thread = runners.get(i);
thread.join();
Throwable th = thread.throwable;
if (th != null) {
if (th instanceof IOException) {
throw (IOException) th;
} else if (th instanceof InterruptedException) {
throw (InterruptedException) th;
} else {
throw new RuntimeException(th);
}
}
}
}
private class SubMapRecordReader extends RecordReader {
private K1 key;
private V1 value;
private Configuration conf;
@Override
public void close() throws IOException {
}
@Override
public float getProgress() throws IOException, InterruptedException {
return 0;
}
@Override
public void initialize(InputSplit split,
TaskAttemptContext context
) throws IOException, InterruptedException {
conf = context.getConfiguration();
}
@Override
public boolean nextKeyValue() throws IOException, InterruptedException {
synchronized (outer) {
if (!outer.nextKeyValue()) {
return false;
}
key = ReflectionUtils.copy(outer.getConfiguration(),
outer.getCurrentKey(), key);
value = ReflectionUtils.copy(conf, outer.getCurrentValue(), value);
return true;
}
}
public K1 getCurrentKey() {
return key;
}
@Override
public V1 getCurrentValue() {
return value;
}
}
private class SubMapRecordWriter extends RecordWriter {
@Override
public void close(TaskAttemptContext context) throws IOException,
InterruptedException {
}
@Override
public void write(K2 key, V2 value) throws IOException,
InterruptedException {
synchronized (outer) {
outer.write(key, value);
}
}
}
private class SubMapStatusReporter extends StatusReporter {
@Override
public Counter getCounter(Enum> name) {
return outer.getCounter(name);
}
@Override
public Counter getCounter(String group, String name) {
return outer.getCounter(group, name);
}
@Override
public void progress() {
outer.progress();
}
@Override
public void setStatus(String status) {
outer.setStatus(status);
}
@Override
public float getProgress() {
return outer.getProgress();
}
}
private class MapRunner extends Thread {
private Mapper mapper;
private Context subcontext;
private Throwable throwable;
private RecordReader reader = new SubMapRecordReader();
MapRunner(Context context) throws IOException, InterruptedException {
mapper = ReflectionUtils.newInstance(mapClass,
context.getConfiguration());
MapContext mapContext =
new MapContextImpl(outer.getConfiguration(),
outer.getTaskAttemptID(),
reader,
new SubMapRecordWriter(),
context.getOutputCommitter(),
new SubMapStatusReporter(),
outer.getInputSplit());
subcontext = new WrappedMapper().getMapContext(mapContext);
reader.initialize(context.getInputSplit(), context);
}
@Override
public void run() {
try {
mapper.run(subcontext);
reader.close();
} catch (Throwable ie) {
throwable = ie;
}
}
}
}