有人能告诉我下面的代码有什么问题吗。

你能帮我怎么用这个mapreduce程序得到下面的输出吗？？实际上，这段代码工作正常，但输出不是预期的。。。输出在两个文件中生成，但在name.txt文件或age.txt文件中，输出是交换的

输入文件：

Name:A
Age:28

Name:B
Age:25

Name:K
Age:20

Name:P
Age:18

Name:Ak
Age:11

Name:N
Age:14

Name:Kr
Age:26

Name:Ra
Age:27

我的输出应该分为姓名和年龄

文件名：

Name:A

Name:B

Name:K

Name:P

Name:Ak

Name:N

Name:Kr

Name:Ra

年龄文件：

Age:28

Age:25

Age:20

Age:18

Age:11

Age:14

Age:26

Age:27

我的代码：

mymapper.java文件

import java.io.IOException;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.MapReduceBase;
import org.apache.hadoop.mapred.Mapper;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reporter;

public class MyMapper extends MapReduceBase implements Mapper<LongWritable, Text,     Text, Text> {
            public void map(LongWritable key, Text value,OutputCollector<Text, Text> output, Reporter reporter) throws IOException {
                    String [] dall=value.toString().split(":");

                        output.collect(new Text(dall[0]),new Text(dall[1]));

            }
    }

myreducer.java文件：

import java.io.IOException;
import java.util.Iterator;

import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.MapReduceBase;
import org.apache.hadoop.mapred.OutputCollector;
import org.apache.hadoop.mapred.Reducer;
import org.apache.hadoop.mapred.Reporter;

    public class MyReducer extends MapReduceBase implements Reducer<Text, Text, Text, Text> {
            public void reduce(Text key, Iterator<Text> values,OutputCollector<Text, Text> output, Reporter reporter) throws IOException {
                    while (values.hasNext()) {
                            output.collect(new Text(key),new Text(values.next()));

                    }
            }
    }

多文件输出.java：

import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapred.lib.*;

    public class MultiFileOutput extends MultipleTextOutputFormat<Text, Text>{
        protected String generateFileNameForKeyValue(Text key, Text value,String name) {
                   //return new Path(key.toString(), name).toString();
                    return key.toString();
            }
            protected Text generateActualKey(Text key, Text value) {
                             //return new Text(key.toString());
                                return null;

                  }
    }

mydriver.java文件：

import java.io.IOException;
import java.lang.Exception;

import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapred.JobClient;
import org.apache.hadoop.mapred.JobConf;
import org.apache.hadoop.mapred.FileInputFormat;
import org.apache.hadoop.mapred.FileOutputFormat;
import org.apache.hadoop.mapred.TextInputFormat;
import org.apache.hadoop.mapred.TextOutputFormat;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;

public class MyDriver{
        public static void main(String[] args) throws Exception,IOException {

            Configuration mycon=new Configuration();
            JobConf conf = new JobConf(mycon,MyDriver.class);
        //JobConf conf = new JobConf(MyDriver.class);

            conf.setJobName("Splitting");

            conf.setMapperClass(MyMapper.class);
            conf.setReducerClass(MyReducer.class);

            conf.setInputFormat(TextInputFormat.class);
            conf.setOutputFormat(MultiFileOutput.class);

            conf.setOutputKeyClass(Text.class);
            conf.setMapOutputKeyClass(Text.class);

            //conf.setOutputValueClass(Text.class);

            conf.setMapOutputValueClass(Text.class);

            FileInputFormat.setInputPaths(conf,new Path(args[0]));
            FileOutputFormat.setOutputPath(conf,new Path(args[1]));
            JobClient.runJob(conf);
            //System.err.println(JobClient.runJob(conf));

    }
}

谢谢你