MultipleInputs.addInputPath

作用

可以指定多個輸入路徑，每個路徑都可以指定相應的map方法

使用方法

MultipleInputs.addInputPath
(Job job, Path path, Class<? extends InputFormat> inputFormatClass, Class<? extends Mapper> mapperClass)

舉例

使用wordcount來舉例
F:\hadooptest\wordcount\input1下有個word.txt，單詞用空格分割

aa bb cc

dd ee ff 

aa  bb  ff
 

F:\hadooptest\wordcount\input2下有個word.txt。單詞用 ## 分割

aa##bb##cc
ee##gg##kk

程式碼

package com.myhadoop.multiple;

import com.myhadoop.mapreduce.test.WordCount;
import org.apache.hadoop.conf.Configuration;
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.lib.input.MultipleInputs;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import
 
 org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;

import java.io.IOException;
import java.util.StringTokenizer;

/**
 * Created by kaishun on 2017/7/31.
 */
public class TestMultipleInputs {
    public static class MapA extends Mapper<LongWritable, Text, Text, IntWritable>
    {
        private final static IntWritable one = new IntWritable(1);
        private Text word = new Text();
        public void map(LongWritable key,Text value,Context context) throws IOException,InterruptedException
        {
            String lines = value.toString();
            String strs[] = lines.split("\\s+");
            for (int i = 0; i <strs.length ; i++) {
                word.set(strs[i]);
                context.write(word, one);
            }
        }
    }

    public static class MapB extends Mapper<LongWritable, Text, Text, IntWritable>
    {
        private final static IntWritable one = new IntWritable(1);
        private Text word = new Text();
        public void map(LongWritable key,Text value,Context context) throws IOException,InterruptedException
        {
            String lines = value.toString();
            String strs[] = lines.split("##");
            for (int i = 0; i <strs.length ; i++) {
                word.set(strs[i]);
                context.write(word, one);
            }
        }
    }



    public static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable>
    {
        public void reduce(Text key,Iterable<IntWritable> values,Context context) throws IOException,InterruptedException
        {
            int sum = 0;
            for (IntWritable val : values) {
                sum += val.get();
            }
            context.write(key, new IntWritable(sum));
        }
    }

    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        Job job = Job.getInstance(conf);
        job.setJobName("MultipleWordCount");
        job.setJarByClass(WordCount.class);
        //多個輸入，分別對應不同的map
        MultipleInputs.addInputPath(job,new Path("F:\\hadooptest\\wordcount\\input1"),TextInputFormat.class,WordCount.MapA.class);
        MultipleInputs.addInputPath(job,new Path("F:\\hadooptest\\wordcount\\input2"),TextInputFormat.class,WordCount.MapB.class);

        job.setNumReduceTasks(1);
        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(IntWritable.class);
        //分到一個reduce
        job.setReducerClass(WordCount.Reduce.class);

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

    }
}

輸出

aa  3
bb  3
cc  2
dd  1
ee  2
ff  2
gg  1
kk  1