Hadoop 实现对Value倒序排序

数据源

A
B
C
D
Z    

要实现的输出

Z
D
B
C
A    

看字符顺序，其实什么也没有，只是按照后面的数字进行一次倒序排序，实现思路，1利用hadoop自带的排序功能，2.KV互换

实现代码

public class SVJob {
    public static void main(String[] args) throws IOException,
            InterruptedException, ClassNotFoundException {
        Configuration conf = new Configuration();
        conf.set("mapred.job.tracker", "192.168.9.181:9001");
        String[] ars = new String[] {
                "hdfs://192.168.9.181:9000/user/hadoop/input/examples/SortByValue/",
                "hdfs://192.168.9.181:9000/user/hadoop/output/examples/SortByValue" };
        String[] otherArgs = new GenericOptionsParser(conf, ars)
                .getRemainingArgs();
        if (otherArgs.length != 2) {
            System.err.println("SortByValue: <in> <out>");
            System.exit(2);
        }

        Job job = new Job(conf, "SortByValue");
        job.setJarByClass(SVJob.class);
        job.setMapperClass(SVMapper.class);
        job.setReducerClass(SVReducer.class);

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

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

        job.setSortComparatorClass(IntWritableDecreasingComparator.class);

        FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
        FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
        System.exit(job.waitForCompletion(true) ? 0 : 1);
    }
}

public class SVMapper extends Mapper<Object, Text, IntWritable, Text> {
    protected void map(Object key, Text value, Context context)
            throws IOException, InterruptedException {
        String line = value.toString();
        String[] keyValueStrings = line.split("\t");
        if(keyValueStrings.length != 2)
        {
            //新手，不知道怎么记录日志，也不清楚怎么退出 各位大神如果知道请通知我，谢谢
            System.err.println("string format error!!!!!");
            return;
        }
        int outkey = Integer.parseInt(keyValueStrings[1]);
        String outvalue = keyValueStrings[0];
        context.write(new IntWritable(outkey), new Text(outvalue));
    }
}

public class SVReducer extends Reducer<IntWritable, Text, Text, IntWritable> {
    protected void reduce(IntWritable key, Iterable<Text> values,Context context)throws IOException, InterruptedException {
        for(Text value : values){
            context.write(value, key);
        }
    }
}

因为我们要实现倒序排序要有自定义的排序方法

public class IntWritableDecreasingComparator extends Comparator {
    @SuppressWarnings("rawtypes")
    public int compare( WritableComparable a,WritableComparable b){
        return -super.compare(a, b);
    }
    public int compare(byte[] b1, int s1, int l1, byte[] b2, int s2, int l2) {
        return -super.compare(b1, s1, l1, b2, s2, l2);
    }
}

这样就完成了，可以自定义排序了