mutilple output reduce cannot write

package org.lukey.hadoop.classifyBayes;

import java.io.BufferedReader;
import java.io.IOException;
import java.io.InputStreamReader;
import java.net.URI;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataInputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.DoubleWritable;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.MultipleOutputs;

public class Probability {

// Client
public static void main(String[] args) throws Exception {

Configuration conf = new Configuration();

//读取单词总数，设置到congfiguration中
String totalWordsPath = "/user/hadoop/output/totalwords.txt";
FileSystem fs = FileSystem.get(URI.create(totalWordsPath), conf);
FSDataInputStream inputStream = fs.open(new Path(totalWordsPath));
BufferedReader buffer = new BufferedReader(new InputStreamReader(inputStream));
String strLine = buffer.readLine();
String[] temp = strLine.split(":");
if(temp.length == 2){
//temp[0] = TOTALWORDS
conf.setInt(temp[0], Integer.parseInt(temp[1]));
}

/*
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();

if (otherArgs.length != 2) {
System.out.println("Usage <in> <out>");
System.exit(-1);
}
*/
Job job = new Job(conf, "file count");

job.setJarByClass(Probability.class);

job.setMapperClass(WordsOfClassCountMapper.class);
job.setReducerClass(WordsOfClassCountReducer.class);

String input = "/user/hadoop/mid/wordsFrequence";
String output = "/user/hadoop/output/probability/";

FileInputFormat.addInputPath(job, new Path(input));
FileOutputFormat.setOutputPath(job, new Path(output));

job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);

System.exit(job.waitForCompletion(true) ? 0 : 1);

}

private static MultipleOutputs<Text, IntWritable> mos;

// Mapper
static class WordsOfClassCountMapper extends Mapper<LongWritable, Text, Text, IntWritable> {

private  static IntWritable number = new IntWritable();

@Override
protected void map(LongWritable key, Text value, Mapper<LongWritable, Text, Text, IntWritable>.Context context)
throws IOException, InterruptedException {

String[] temp = value.toString().split("\t");
if(temp.length == 3){
// 文件夹名类别名
String dirName = temp[0];
value.set(temp[1]);
number.set(Integer.parseInt(temp[2]));
mos.write(value, number, dirName);

}

}

@Override
protected void cleanup(Mapper<LongWritable, Text, Text, IntWritable>.Context context)
throws IOException, InterruptedException {
// TODO Auto-generated method stub
mos.close();
}

@Override
protected void setup(Mapper<LongWritable, Text, Text, IntWritable>.Context context)
throws IOException, InterruptedException {
// TODO Auto-generated method stub
mos = new MultipleOutputs<Text, IntWritable>(context);
}

}

// Reducer
static class WordsOfClassCountReducer extends Reducer<Text, IntWritable, Text, DoubleWritable> {

// result 表示每个文件里面单词个数
DoubleWritable result = new DoubleWritable(3);
Configuration conf = new Configuration();
int total = conf.getInt("TOTALWORDS", 1);
@Override
protected void reduce(Text key, Iterable<IntWritable> values,
Reducer<Text, IntWritable, Text, DoubleWritable>.Context context)
throws IOException, InterruptedException {
// TODO Auto-generated method stub
//            double sum = 0;
//            for (IntWritable value : values) {
//                sum += value.get();
//            }
//            result.set(sum);

context.write(key, result);
}

}

}