定义IntPair 以及 IntPair（first,second）的compareto，先比較first的大小，再比較second的大小
定义FirstPartitioner是为了让partition的时候依照IntPair的first来做为选择reduce的根据
定义FirstGroupingComparator是为了：《Pro Hadoop》，里面有一部分内容详解了这个问题，看后最终明确了，和大家分享一下。reduce方法每次是读一条记录，读到对应的key，可是处理value集合时，处理完当前记录的values后，还会推断下一条记录是不是和当前的key是不是同一个组，假设是的话，会继续读取这些记录的值，而这个记录也会被觉得已经处理了，直到记录不是当前组，这次reduce调用才结束，这样一次reduce调用就会处理掉一个组中的全部记录，而不不过一条了。
以下是从hadoop里取出的源码，能够再理解下：
/**
* 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.examples; import java.io.DataInput;
import java.io.DataOutput;
import java.io.IOException;
import java.util.StringTokenizer; import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.RawComparator;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.io.WritableComparable;
import org.apache.hadoop.io.WritableComparator;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Partitioner;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.util.GenericOptionsParser; /**
* This is an example Hadoop Map/Reduce application.
* It reads the text input files that must contain two integers per a line.
* The output is sorted by the first and second number and grouped on the
* first number.
*
* To run: bin/hadoop jar build/hadoop-examples.jar secondarysort
* <i>in-dir</i> <i>out-dir</i>
*/
public class SecondarySort { /**
* Define a pair of integers that are writable.
* They are serialized in a byte comparable format.
*/
public static class IntPair
implements WritableComparable<IntPair> {
private int first = 0;
private int second = 0; /**
* Set the left and right values.
*/
public void set(int left, int right) {
first = left;
second = right;
}
public IntPair(){}
public IntPair(int left,int right){
set(left, right);
}
public int getFirst() {
return first;
}
public int getSecond() {
return second;
}
/**
* Read the two integers.
* Encoded as: MIN_VALUE -> 0, 0 -> -MIN_VALUE, MAX_VALUE-> -1
*/
@Override
public void readFields(DataInput in) throws IOException {
first = in.readInt() + Integer.MIN_VALUE;
second = in.readInt() + Integer.MIN_VALUE;
}
@Override
public void write(DataOutput out) throws IOException {
out.writeInt(first - Integer.MIN_VALUE);
out.writeInt(second - Integer.MIN_VALUE);
}
@Override
public int hashCode() {
return first * 157 + second;
}
@Override
public boolean equals(Object right) {
if (right instanceof IntPair) {
IntPair r = (IntPair) right;
return r.first == first && r.second == second;
} else {
return false;
}
}
/** A Comparator that compares serialized IntPair. */
public static class Comparator extends WritableComparator {
public Comparator() {
super(IntPair.class);
} public int compare(byte[] b1, int s1, int l1,
byte[] b2, int s2, int l2) {
return compareBytes(b1, s1, l1, b2, s2, l2);
}
} static { // register this comparator
WritableComparator.define(IntPair.class, new Comparator());
} @Override
public int compareTo(IntPair o) {
if (first != o.first) {
return first < o.first ? -1 : 1;
} else if (second != o.second) {
return second < o.second ? -1 : 1;
} else {
return 0;
}
}
} /**
* Partition based on the first part of the pair.
*/
public static class FirstPartitioner extends Partitioner<IntPair,IntWritable>{
@Override
public int getPartition(IntPair key, IntWritable value,
int numPartitions) {
return Math.abs(key.getFirst() * 127) % numPartitions;
}
} /**
* Compare only the first part of the pair, so that reduce is called once
* for each value of the first part.
*/
public static class FirstGroupingComparator
implements RawComparator<IntPair> {
@Override
public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2) {
return WritableComparator.compareBytes(b1, s1, Integer.SIZE/8,
b2, s2, Integer.SIZE/8);
} @Override
public int compare(IntPair o1, IntPair o2) {
int l = o1.getFirst();
int r = o2.getFirst();
return l == r ? 0 : (l < r ? -1 : 1);
}
} /**
* Read two integers from each line and generate a key, value pair
* as ((left, right), right).
*/
public static class MapClass
extends Mapper<LongWritable, Text, IntPair, IntWritable> { private final IntPair key = new IntPair();
private final IntWritable value = new IntWritable(); @Override
public void map(LongWritable inKey, Text inValue,
Context context) throws IOException, InterruptedException {
StringTokenizer itr = new StringTokenizer(inValue.toString());
int left = 0;
int right = 0;
if (itr.hasMoreTokens()) {
left = Integer.parseInt(itr.nextToken());
if (itr.hasMoreTokens()) {
right = Integer.parseInt(itr.nextToken());
}
key.set(left, right);
value.set(right);
context.write(key, value);
}
}
} /**
* A reducer class that just emits the sum of the input values.
*/
public static class Reduce
extends Reducer<IntPair, IntWritable, Text, IntWritable> {
private static final Text SEPARATOR =
new Text("------------------------------------------------");
private final Text first = new Text(); @Override
public void reduce(IntPair key, Iterable<IntWritable> values,
Context context
) throws IOException, InterruptedException {
context.write(SEPARATOR, null);
first.set(Integer.toString(key.getFirst()));
for(IntWritable value: values) {
context.write(first, value);
}
}
} public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
if (otherArgs.length != 2) {
System.err.println("Usage: secondarysrot <in> <out>");
System.exit(2);
}
Job job = new Job(conf, "secondary sort");
job.setJarByClass(SecondarySort.class);
job.setMapperClass(MapClass.class);
job.setReducerClass(Reduce.class); // group and partition by the first int in the pair
job.setPartitionerClass(FirstPartitioner.class);
job.setGroupingComparatorClass(FirstGroupingComparator.class); // the map output is IntPair, IntWritable
job.setMapOutputKeyClass(IntPair.class);
job.setMapOutputValueClass(IntWritable.class); // the reduce output is Text, IntWritable
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
} }