MapReduce倒排索引

问题分析

 

实现代码

InversIndex类

import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.NullWritable;
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.input.FileSplit;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

public class InversIndex {

 public static void main(String[] args) throws Exception {
   // TODO Auto-generated method stub
   Job job=Job.getInstance(new Configuration());

   job.setJarByClass(InversIndex.class);

   job.setMapperClass(InversMapper.class);
   job.setMapOutputKeyClass(Text.class);
   job.setMapOutputValueClass(Text.class);
   FileInputFormat.setInputPaths(job, new Path(args[0]));

   job.setReducerClass(InversReducer.class);
   job.setOutputKeyClass(Text.class);
   job.setOutputValueClass(Text.class);
   FileOutputFormat.setOutputPath(job, new Path(args[1]));

   job.setCombinerClass(InversConbiner.class);

   job.waitForCompletion(true);
}

 public static class InversMapper extends Mapper<LongWritable, Text, Text, Text>{

   private Text k2=new Text();
   private Text v2=new Text();

   @Override
   protected void map(LongWritable key, Text value, Mapper<LongWritable, Text, Text, Text>.Context context)
       throws IOException, InterruptedException {
     // TODO Auto-generated method stub
     String hang=value.toString();
     String[] values=hang.split("	");

     for(String string : values){
       FileSplit in=(FileSplit) context.getInputSplit();
       Path path=in.getPath();
       String fileName=path.getName();

       k2.set(string+"->"+ fileName);
       v2.set("1");
       context.write(k2, v2);
    }
  }
}
 public static class InversConbiner extends Reducer<Text, Text, Text, Text>{

   private Text k22=new Text();
   private Text v22=new Text();
   @Override
   protected void reduce(Text k2, Iterable<Text> v2, Reducer<Text, Text, Text, Text>.Context context)
       throws IOException, InterruptedException {
     String keyAndName = k2.toString();
     String[] strings=keyAndName.split("->");
     String key = strings[0];
     String fileName = strings[1];

     long sum = 0;

     for(Text text : v2){
       sum += Long.parseLong(text.toString());
    }
     k22.set(key);
     v22.set(fileName +"->"+ sum);

     context.write(k22, v22);
  }
}

 public static class InversReducer extends Reducer<Text, Text, Text, Text>{

   private Text v3=new Text();
   @Override
   protected void reduce(Text k2, Iterable<Text> v2, Reducer<Text, Text, Text, Text>.Context context)
       throws IOException, InterruptedException {
     String sum ="";
     for(Text text : v2){
       sum += text.toString() + "	";
    }

     v3.set(sum);
     context.write(k2, v3);
  }
}
}

 

 

 

x

99

 

 

 

 

 

1

import java.io.IOException;

2

import org.apache.hadoop.conf.Configuration;

3

import org.apache.hadoop.fs.Path;

4

import org.apache.hadoop.io.LongWritable;

5

import org.apache.hadoop.io.NullWritable;

6

import org.apache.hadoop.io.Text;

7

import org.apache.hadoop.mapreduce.Job;

8

import org.apache.hadoop.mapreduce.Mapper;

9

import org.apache.hadoop.mapreduce.Reducer;

10

import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

11

import org.apache.hadoop.mapreduce.lib.input.FileSplit;

12

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

13

14

public class InversIndex {

15

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

17

   // TODO Auto-generated method stub

18

   Job job=Job.getInstance(new Configuration());

19

20

   job.setJarByClass(InversIndex.class);

21

22

   job.setMapperClass(InversMapper.class);

23

   job.setMapOutputKeyClass(Text.class);

24

   job.setMapOutputValueClass(Text.class);

25

   FileInputFormat.setInputPaths(job, new Path(args[0]));

26

27

   job.setReducerClass(InversReducer.class);

28

   job.setOutputKeyClass(Text.class);

29

   job.setOutputValueClass(Text.class);

30

   FileOutputFormat.setOutputPath(job, new Path(args[1]));

31

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   job.setCombinerClass(InversConbiner.class);

33

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   job.waitForCompletion(true);

35

}

36

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 public static class InversMapper extends Mapper<LongWritable, Text, Text, Text>{

38

39

   private Text k2=new Text();

40

   private Text v2=new Text();

41

42

   @Override

43

   protected void map(LongWritable key, Text value, Mapper<LongWritable, Text, Text, Text>.Context context)

44

       throws IOException, InterruptedException {

45

     // TODO Auto-generated method stub

46

     String hang=value.toString();

47

     String[] values=hang.split("	");

48

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     for(String string : values){

50

       FileSplit in=(FileSplit) context.getInputSplit();

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       Path path=in.getPath();

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       String fileName=path.getName();

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       k2.set(string+"->"+ fileName);

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       v2.set("1");

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       context.write(k2, v2);

57

    }

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  }

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}

60

 public static class InversConbiner extends Reducer<Text, Text, Text, Text>{

61

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   private Text k22=new Text();

63

   private Text v22=new Text();

64

   @Override

65

   protected void reduce(Text k2, Iterable<Text> v2, Reducer<Text, Text, Text, Text>.Context context)

66

       throws IOException, InterruptedException {

67

     String keyAndName = k2.toString();

68

     String[] strings=keyAndName.split("->");

69

     String key = strings[0];

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     String fileName = strings[1];

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     long sum = 0;

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     for(Text text : v2){

75

       sum += Long.parseLong(text.toString());

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    }

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     k22.set(key);

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     v22.set(fileName +"->"+ sum);

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     context.write(k22, v22);

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  }

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}

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 public static class InversReducer extends Reducer<Text, Text, Text, Text>{

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   private Text v3=new Text();

87

   @Override

88

   protected void reduce(Text k2, Iterable<Text> v2, Reducer<Text, Text, Text, Text>.Context context)

89

       throws IOException, InterruptedException {

90

     String sum ="";

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     for(Text text : v2){

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       sum += text.toString() + "	";

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    }

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     v3.set(sum);

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     context.write(k2, v3);

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  }

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}

99

}

 

 

数据：

a.txt

hellotom
hellokitty
hellojerry
hellotom

 

 

 

4

4

 

 

 

 

 

1

hellotom

2

hellokitty

3

hellojerry

4

hellotom

 

 

b.txt

hellocat
hellotom
hellokitty

 

 

 

3

3

 

 

 

 

 

1

hellocat

2

hellotom

3

hellokitty

 

 

c.txt

hellotom
catkitty

 

 

 

2

2

 

 

 

 

 

1

hellotom

2

catkitty

 

 

执行步骤

hadoop jar /ii.jar com.wxkj.ii.action.InversIndex /data /outdata

 

 

 

1

1

 

 

 

 

 

1

hadoop jar /ii.jar com.wxkj.ii.action.InversIndex /data /outdata

 

 

执行结果

[root@hadoop01 tmp]# hdfs dfs -cat /outdata/part-r-00000
catc.txt->1b.txt->1
hellob.txt->3c.txt->1a.txt->4
jerrya.txt->1
kittya.txt->1b.txt->1c.txt->1
tomc.txt->1b.txt->1a.txt->2

 

 

 

 

 

 

 

 

 

1

[root@hadoop01 tmp]# hdfs dfs -cat /outdata/part-r-00000

2

catc.txt->1b.txt->1

3

hellob.txt->3c.txt->1a.txt->4

4

jerrya.txt->1

5

kittya.txt->1b.txt->1c.txt->1

6

tomc.txt->1b.txt->1a.txt->2