2016/04/27

【BigData】MapReduce Top k problem




我修改了Azure的WordCount範例,以TreeMap做排序

?
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
package org.apache.hadoop.examples;
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.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.output.FileOutputFormat;
import org.apache.hadoop.util.GenericOptionsParser;
import java.util.Map;
import java.util.TreeMap;
public class WordCount {
     
    public static final int k = 10;
  public static class TokenizerMapper
       extends Mapper< Object, Text, NullWritable, Text>{
    private final static IntWritable one = new IntWritable(1);
    private Text word = new Text();
    private TreeMap< Long, Text> top = new TreeMap< Long, Text>();
    public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
      StringTokenizer itr = new StringTokenizer(value.toString());
      while (itr.hasMoreTokens()) {
         
        top.put(Long.parseLong(itr.nextToken()), new Text(value));
        if (top.size()>k)
          top.remove(top.firstKey());
      }
    }
    @Override
    protected void cleanup(Context context) throws IOException,
        InterruptedException {
      for (Text t : top.values()) {
        context.write(NullWritable.get(), t);
      }
    }
  }
  public static class IntSumReducer
       extends Reducer< NullWritable, Text, NullWritable, Text> {
    private IntWritable result = new IntWritable();
    private TreeMap< Long, Text> top = new TreeMap< Long, Text>();
    public void reduce(NullWritable key, Iterable< Text> values, Context context) throws IOException, InterruptedException {
      int sum = 0;
      for (Text val : values) {
        String v[] = val.toString().split("\t");
        Long w = Long.parseLong(v[1]);
        top.put(w, val);
        if (top.size()>k)
          top.remove(top.firstKey());
      }
      for (Text t : top.descendingMap().values()) {
        context.write(NullWritable.get(), t);
      }
    }
  }
  public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();
    String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
    if (otherArgs.length != 2) {
      System.err.println("Usage: wordcount < in> < out>");
      System.exit(2);
    }
    Job job = new Job(conf, "word count");
    job.setJarByClass(WordCount.class);
    job.setMapperClass(TokenizerMapper.class);
    job.setReducerClass(IntSumReducer.class);
    job.setNumReduceTasks(1);
    job.setOutputKeyClass(NullWritable.class);
    job.setOutputValueClass(Text.class);
    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);
  }
}