您可以使用Hadoop InputFormat和OutputFormat接口创建自定义格式.例如，可以将MapReduce作业的输出格式化为JSON.这个-

you can use Hadoop InputFormat and OutputFormat interfaces to create your custom formats..an example could be to format the output of your MapReduce job as JSON..something like this -

public class JsonOutputFormat extends TextOutputFormat<Text, IntWritable> {
    @Override
    public RecordWriter<Text, IntWritable> getRecordWriter(
            TaskAttemptContext context) throws IOException, 
                  InterruptedException {
        Configuration conf = context.getConfiguration();
        Path path = getOutputPath(context);
        FileSystem fs = path.getFileSystem(conf);
        FSDataOutputStream out = 
                fs.create(new Path(path,context.getJobName()));
        return new JsonRecordWriter(out);
    }

    private static class JsonRecordWriter extends 
          LineRecordWriter<Text,IntWritable>{
        boolean firstRecord = true;
        @Override
        public synchronized void close(TaskAttemptContext context)
                throws IOException {
            out.writeChar('{');
            super.close(null);
        }

        @Override
        public synchronized void write(Text key, IntWritable value)
                throws IOException {
            if (!firstRecord){
                out.writeChars(",\r\n");
                firstRecord = false;
            }
            out.writeChars("\"" + key.toString() + "\":\""+
                    value.toString()+"\"");
        }

        public JsonRecordWriter(DataOutputStream out) 
                throws IOException{
            super(out);
            out.writeChar('}');
        }
    }
}