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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.hbase.mapreduce;

import java.io.IOException;
import java.lang.reflect.Constructor;
import java.lang.reflect.Method;
import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.mapreduce.Counter;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.JobContext;
import org.apache.hadoop.mapreduce.MapContext;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.OutputCommitter;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.RecordWriter;
import org.apache.hadoop.mapreduce.StatusReporter;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.TaskAttemptID;
import org.apache.hadoop.util.ReflectionUtils;


/**
 * Multithreaded implementation for @link org.apache.hbase.mapreduce.TableMapper
 * 

* It can be used instead 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} and the number of thread the thread-pool can use with the * {@link #getNumberOfThreads} method. The default value is 10 threads. *

*/ public class MultithreadedTableMapper extends TableMapper { private static final Log LOG = LogFactory.getLog(MultithreadedTableMapper.class); private Class> mapClass; private Context outer; private ExecutorService executor; public static final String NUMBER_OF_THREADS = "hbase.mapreduce.multithreadedmapper.threads"; public static final String MAPPER_CLASS = "hbase.mapreduce.multithreadedmapper.mapclass"; /** * 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(NUMBER_OF_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(NUMBER_OF_THREADS, threads); } /** * Get the application's mapper class. * @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( MAPPER_CLASS, Mapper.class); } /** * Set the application's mapper class. * @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> cls) { if (MultithreadedTableMapper.class.isAssignableFrom(cls)) { throw new IllegalArgumentException("Can't have recursive " + "MultithreadedTableMapper instances."); } job.getConfiguration().setClass(MAPPER_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"); } executor = Executors.newFixedThreadPool(numberOfThreads); for(int i=0; i < numberOfThreads; ++i) { MapRunner thread = new MapRunner(context); executor.execute(thread); } executor.shutdown(); while (!executor.isTerminated()) { // wait till all the threads are done Thread.sleep(1000); } } private class SubMapRecordReader extends RecordReader { private ImmutableBytesWritable key; private Result 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; } } @Override public ImmutableBytesWritable getCurrentKey() { return key; } @Override public Result 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 0; } } @edu.umd.cs.findbugs.annotations.SuppressWarnings(value="REC_CATCH_EXCEPTION", justification="Don't understand why FB is complaining about this one. We do throw exception") private class MapRunner implements Runnable { private Mapper mapper; private Context subcontext; @SuppressWarnings({ "rawtypes", "unchecked" }) MapRunner(Context context) throws IOException, InterruptedException { mapper = ReflectionUtils.newInstance(mapClass, context.getConfiguration()); try { Constructor c = context.getClass().getConstructor( Mapper.class, Configuration.class, TaskAttemptID.class, RecordReader.class, RecordWriter.class, OutputCommitter.class, StatusReporter.class, InputSplit.class); c.setAccessible(true); subcontext = (Context) c.newInstance( mapper, outer.getConfiguration(), outer.getTaskAttemptID(), new SubMapRecordReader(), new SubMapRecordWriter(), context.getOutputCommitter(), new SubMapStatusReporter(), outer.getInputSplit()); } catch (Exception e) { try { Constructor c = Class.forName("org.apache.hadoop.mapreduce.task.MapContextImpl").getConstructor( Configuration.class, TaskAttemptID.class, RecordReader.class, RecordWriter.class, OutputCommitter.class, StatusReporter.class, InputSplit.class); c.setAccessible(true); MapContext mc = (MapContext) c.newInstance( outer.getConfiguration(), outer.getTaskAttemptID(), new SubMapRecordReader(), new SubMapRecordWriter(), context.getOutputCommitter(), new SubMapStatusReporter(), outer.getInputSplit()); Class wrappedMapperClass = Class.forName("org.apache.hadoop.mapreduce.lib.map.WrappedMapper"); Method getMapContext = wrappedMapperClass.getMethod("getMapContext", MapContext.class); subcontext = (Context) getMapContext.invoke( wrappedMapperClass.getDeclaredConstructor().newInstance(), mc); } catch (Exception ee) { // FindBugs: REC_CATCH_EXCEPTION // rethrow as IOE throw new IOException(e); } } } @Override public void run() { try { mapper.run(subcontext); } catch (Throwable ie) { LOG.error("Problem in running map.", ie); } } } }





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