java - Hadoop mapReduce 如何在 HDFS 中只存储值

Question

我正在使用它来删除重复行

public class DLines
 {
   public static class TokenCounterMapper extends Mapper<Object, Text, Text, IntWritable>
    {
    private final static IntWritable one = new IntWritable(1);
      private Text word = new Text();
      @Override
      public void map(Object key, Text value, Context context) throws IOException, InterruptedException
       {
           String line=value.toString();
           //int hash_code=line.hashCode();
           context.write(value, one);
       }
   }

public static class TokenCounterReducer extends Reducer<Text, IntWritable, Text, IntWritable> 
 {
        @Override
    public void reduce(Text key, Iterable<IntWritable> values, Context context)throws IOException, InterruptedException 
     {
 public void reduce(Text key, Iterable<IntWritable> values, Context context)throws IOException, InterruptedException 
     {
       int sum = 0;
       for (IntWritable value : values) 
       {   
           sum += value.get();        
       }
       if (sum<2)
           {
             context.write(key,new IntWritable(sum));
           }
      }
      }

我只需要在 hdfs 中存储 key 。

Answer 1

如果你不需要reducer 的值，只需使用NullWritable .

你可以简单地说context.write(key,NullWritable.get());

在你的驱动中，你也可以设置

 job.setMapOutputKeyClass(Text.class);
 job.setMapOutputValueClass(IntWritable.class);

&

 job.setOutputKeyClass(Text.class);
 job.setOutputValueClass(NullWritable.class);