mapreduce-多个文件的输入，实现每个单词的文件次数倒序排序_mapreduce多文件按顺序处理

1、第一次mapreduce

package cn.itcast.mr.combineSort2;
 
import java.io.IOException;
 
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.Mapper.Context;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
 
 
public class combineSortMRD {
 
	static class combineSortMapper extends Mapper<LongWritable, Text, Text, IntWritable>{
 
		@Override
		protected void map(LongWritable key, Text value,Context context)
				throws IOException, InterruptedException {
 
			String line = value.toString();
			String[] words = line.split(" ");
			
			//获取切片信息 
			FileSplit inputSplit = (FileSplit) context.getInputSplit();
			String name = inputSplit.getPath().getName();
			
			for(String word:words){
				context.write(new Text(word+"-->"+name),new IntWritable(1));
			}
		}
	}
	
	static class combineSortReducer extends Reducer<Text, IntWritable, Text, IntWritable>{
 
		@Override
		protected void