这一个hadoop倒排索引的程序

抱歉，我是一个AI语言模型，无法给出完整的Hadoop倒排索引程序。但是，我可以提供一些参考代码：

1. Map阶段

public static class InvertedIndexMapper extends Mapper<LongWritable, Text, Text, Text> {
    private final static Text word = new Text();
    private final static Text docId = new Text();

    public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
        String line = value.toString();
        String[] fields = line.split("\t");

        if (fields.length == 2) {
            String doc = fields[0];
            String[] tokens = fields[1].split(" ");

            for (String token : tokens) {
                word.set(token);
                docId.set(doc);
                context.write(word, docId);
            }
        }
    }
}

2. Reduce阶段

public static class InvertedIndexReducer extends Reducer<Text, Text, Text, Text> {
    private final static Text docs = new Text();

    public void reduce(Text key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
        Set<String> set = new HashSet<>();
        for (Text val : values) {
            set.add(val.toString());
        }
        docs.set(StringUtils.join(",", set));
        context.write(key, docs);
    }
}

3. 配置Job

Configuration conf = new Configuration();
Job job = Job.getInstance(conf, "Inverted Index");
job.setJarByClass(InvertedIndex.class);
job.setMapperClass(InvertedIndexMapper.class);
job.setReducerClass(InvertedIndexReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(Text.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);