Map/Reduce 通过WordCount例子的变化来了解新版hado(2)

最新版实现如下:

public class WordCount {

public static class TokenizerMapper
      extends Mapper<Object, Text, Text, IntWritable>{                            #1
   
    private final static IntWritable one = new IntWritable(1);
    private Text word = new Text();
     
    public void map(Object key, Text value, Context context                        #2
                    ) throws IOException, InterruptedException {
      StringTokenizer itr = new StringTokenizer(value.toString());
      while (itr.hasMoreTokens()) {
        word.set(itr.nextToken());
        context.write(word, one);
      }
    }
  }
 
  public static class IntSumReducer
      extends Reducer<Text,IntWritable,Text,IntWritable> {                        #3
    private IntWritable result = new IntWritable();

public void reduce(Text key, Iterable<IntWritable> values,                      #4
                      Context context
                      ) throws IOException, InterruptedException {
      int sum = 0;
      for (IntWritable val : values) {
        sum += val.get();
      }
      result.set(sum);
      context.write(key, result);
    }
  }

public static void main(String[] args) throws Exception {
    Configuration conf = new Configuration();                                      #5
    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");                                          #6
    job.setJarByClass(WordCount.class);                                            #7
    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
    System.exit(job.waitForCompletion(true) ? 0 : 1);                              #8
  }
}

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