错误的reduce输出-mapreduce作业

iswrvxsc  于 2021-06-03  发布在  Hadoop
关注(0)|答案(1)|浏览(479)

首先,我是java的初学者,但我必须尽快完成mapreduce任务。
我试图修改wordcount算法,因为问题非常相似。
我的输入是一个文本文件,其中包含如下数据列:

Date:2008-10-23Hour:02User:000 1

Date:2008-10-23Hour:02User:000 0

Date:2008-10-23Hour:02User:000 1

Date:2008-10-23Hour:02User:000 1

Date:2008-10-23Hour:02User:000 0

Date:2008-10-23Hour:02User:000 1

Date:2008-10-23Hour:02User:000 1

Date:2008-10-23Hour:02User:000 0

Date:2008-10-23Hour:02User:000 1

Date:2008-10-23Hour:02User:000 1

Date:2008-10-23Hour:02User:000 1

Date:2008-10-23Hour:03User:000 0

Date:2008-10-23Hour:03User:000 1

Date:2008-10-23Hour:03User:000 1

Date:2008-10-23Hour:03User:000 0

Date:2008-10-23Hour:03User:000 1

Date:2008-10-23Hour:03User:000 1 

Date:2008-10-23Hour:03User:000 0

Date:2008-10-23Hour:04User:000 1

Date:2008-10-23Hour:04User:000 0

Date:2008-10-23Hour:04User:000 1

Date:2008-10-23Hour:04User:000 1

Date:2008-10-23Hour:04User:000 1

Date:2008-10-23Hour:04User:000 1

Date:2008-10-23Hour:04User:000 0

Date:2008-10-23Hour:04User:000 1

Date:2008-10-23Hour:04User:000 0

Date:2008-10-23Hour:04User:000 1

mapreduce作业必须将每行的第一个字符串设置为my key(date:2008-10-23hour:03user:001)数字1或0就是这个值。reducer的任务只是对同一个键的值(1+1+0+1+0…)求和…仅此而已。问题是,在结果中,我得到了巨大的数字(太大)像最终值,但我不知道绝对的原因。
算法如下:

import java.io.BufferedReader;
import java.io.FileReader;
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.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.Reducer.Context;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

public class MapReduce {

  public static class KeyValueMapper
       extends Mapper<Object, Object , Text, IntWritable>{

  private IntWritable ValueDistanceFunction = new IntWritable();  
  private Text DateHourUser = new Text();

 public void map(Object key, Object value, Context context
            ) throws IOException, InterruptedException {

 StringTokenizer itr = new StringTokenizer(value.toString());
 while (itr.hasMoreTokens()) {
     DateHourUser.set(read.nextToken());
     ValueDistanceFunction.set(Integer.parseInt(read.nextToken()));    
     context.write(DateHourUser,ValueDistanceFunction);
     // I print the results only to check them
     System.out.println(DateHourUser);
     System.out.println(ValueDistanceFunction);
 }

  }
  }

  public static class IntSumReducer
       extends Reducer<Text,IntWritable,Text,IntWritable> {
      private IntWritable result = new IntWritable();

    public void reduce(Text key, Iterable<IntWritable>values,
            Context context
            ) throws IOException, InterruptedException {    

int sum =0;

for (IntWritable val : values) {
  sum += val.get();
  System.out.println(sum);
}
result.set(sum);

context.write(key,result);
}
}

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

    Configuration conf = new Configuration();

    Job job = Job.getInstance(conf, "KeyValue");

    job.setJarByClass(MapReduce.class);

    job.setMapperClass(KeyValueMapper.class);

    job.setCombinerClass(IntSumReducer.class);

    job.setReducerClass(IntSumReducer.class);

    job.setOutputKeyClass(Text.class);

    job.setOutputValueClass(IntWritable.class);

    FileInputFormat.addInputPath(job, new Path("/home/ubuntu/workspace/FileGeneration/Input"));

    FileOutputFormat.setOutputPath(job, new Path("/home/ubuntu/workspace/FileGeneration/Output"));

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

  }
  }

而这些恰恰是错误的输出:
date:2008-10-23hour:02user:000 16
date:2008-10-23hour:03user:000 6
date:2008-10-23hour:04user:000 14
正确的输出应该是:
date:2008-10-23hour:02user:000 8
date:2008-10-23hour:03user:000 3
date:2008-10-23hour:04user:000 7
错误的结果正好是正确结果的两倍
此外,如果我在计算过程中用值(0或1)打印sum和key,我会得到:

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

0

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

0

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

0

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:03User:000 

0

Date:2008-10-23Hour:03User:000 

1

Date:2008-10-23Hour:03User:000 

1

Date:2008-10-23Hour:03User:000 

0

Date:2008-10-23Hour:03User:000 

1

Date:2008-10-23Hour:03User:000 

1 

Date:2008-10-23Hour:03User:000 

0

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

0

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

0

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

0

Date:2008-10-23Hour:04User:000 

1

8  (this is correct)

3  (this is correct)

7  (this is correct)

Date:2008-10-23Hour:02User:000 

0

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

0

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

0

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:02User:000 

1

Date:2008-10-23Hour:03User:000 

0

Date:2008-10-23Hour:03User:000 

1

Date:2008-10-23Hour:03User:000 

1

Date:2008-10-23Hour:03User:000 

0

Date:2008-10-23Hour:03User:000 

1

Date:2008-10-23Hour:03User:000 

1 

Date:2008-10-23Hour:03User:000 

0

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

0

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

0

Date:2008-10-23Hour:04User:000 

1

Date:2008-10-23Hour:04User:000 

0

Date:2008-10-23Hour:04User:000 

1

8

3

7

16   (wrong final value)

6   (wrong final value)

14   (wrong final value)

提前多谢了。

2nbm6dog

2nbm6dog1#

问题在于Map程序代码。为什么要在Map器中读取输入?
以下行有问题:

BufferedReader sc=new BufferedReader(new FileReader("/home/ubuntu/workspace/FileGeneration/Input/Input"));
String line; 
while ((line=sc.readLine()) !=null){
    StringTokenizer read= new StringTokenizer (line," ");
    while (read.hasMoreTokens()){

您已经在driver类中指定了输入。

FileInputFormat.addInputPath(job, new Path("/home/ubuntu/workspace/FileGeneration/Input"));

无需在Map器中再次读取此输入。框架读取这个文件并将每一行传递给Map器。该行包含在 value .
Map器代码应如下所示:

public void map(Object key, Object value, Context context
            ) throws IOException, InterruptedException {

     StringTokenizer itr = new StringTokenizer(value.toString());
     while (itr.hasMoreTokens()) {
         DateHourUser.set(read.nextToken());
         ValueDistanceFunction.set(Integer.parseInt(read.nextToken()));    
         context.write(DateHourUser,ValueDistanceFunction);
         // I print the results only to check them
         System.out.println(DateHourUser);
         System.out.println(ValueDistanceFunction);
     }
 }

编辑:我拿了你的数据运行了程序。我得到了以下结果。我认为数据或代码都没有问题:

E:\hdp\hadoop-2.7.1.2.3.0.0-2557\bin>hadoop fs -cat /user/mballur/Output/part-r-00000
Date:2008-10-23Hour:02User:000  8
Date:2008-10-23Hour:03User:000  4
Date:2008-10-23Hour:04User:000  7

这个程序没有问题。

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