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("	");
            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);
        }

    }

}