MapReduce的输入文件是两个

[学习笔记]

1.对于mapreduce程序，如何输入文件是两个文件? 
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);
            }
        }
    }

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