MapReduce的输入文件是两个

1.对于MapReduce程序，如何输入文件是两个文件?

马 克-to-win @ 马克java社区：这一小节，我们将继续第一章大数据入门的HelloWorld例子做进一步的研究。这里，我们研究如何输入文件是两个文件。

package com;

import java.io.IOException;

import java.util.StringTokenizer;

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.io.IntWritable;

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.lib.input.FileInputFormat;

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

import org.apache.hadoop.util.GenericOptionsParser;

public class WordCountMark_to_win {

public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable> {

private final static IntWritable one = new IntWritable(1);

private Text word = new Text();

public void map(Object key, Text value, Context context) throws IOException, InterruptedException {

System.out.println("key is 马克-to-win @ 马克java社区：防盗版实名手机尾号：73203"+key.toString()+" value is "+value.toString());

StringTokenizer itr = new StringTokenizer(value.toString());

while (itr.hasMoreTokens()) {

word.set(itr.nextToken());

context.write(word, one);

}

}

}

更多请见下节：https://blog.csdn.net/qq_44594249/article/details/96112498