MapReduce编程练习（四），统计多个输入文件学生的平均成绩，

问题描述：

在输入文件中，有多个，其中每个输入文件代表一个学生的各科成绩，其中每行的数据形式为<科目,成绩>，你需要将每个文件中的每科目的成绩进行统计，然后求平均值。

输入文件格式：

这里有三个学生：

输出文件格式：

实例代码：

package com.test;

import java.io.IOException;

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.FileInputFormat;

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

public class StudentAverage {

	public static void main(String[] args) throws IllegalArgumentException, IOException, ClassNotFoundException, InterruptedException {

		@SuppressWarnings("deprecation")

		Job job = new Job(new Configuration(), "StudentAverage");

		job.setJarByClass(StudentAverage.class);

		job.setMapperClass(Map.class);

		job.setReducerClass(Reduce.class);

		job.setMapOutputKeyClass(Text.class);

		job.setMapOutputValueClass(IntWritable.class);

		job.setOutputKeyClass(Text.class);

		job.setOutputValueClass(IntWritable.class);

		FileInputFormat.setInputPaths(job, new Path("hdfs://localhost:9000/Student/input"));

		FileOutputFormat.setOutputPath(job, new Path("hdfs://localhost:9000/Student/output"));

		job.waitForCompletion(true);

		System.out.println("运行结束！");

	}

	public static class Map extends Mapper<LongWritable, Text, Text, IntWritable>{

		protected void map(LongWritable key, Text value,

				org.apache.hadoop.mapreduce.Mapper<LongWritable, Text, Text, IntWritable>.Context context)

				throws java.io.IOException, InterruptedException {

			String[] data = value.toString().split(" ");

			context.write(new Text(data[0]), new IntWritable(Integer.parseInt(data[1])));

		};

	}

	public static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {

		protected void reduce(Text key, java.lang.Iterable<IntWritable> values, Context context)

				throws java.io.IOException, InterruptedException {

			int average = 0;

			int sum = 0;

			for (IntWritable value : values) {

				   sum += value.get();

			}

			average = sum / 3;

		    context.write(new Text(key), new IntWritable(average));

		};

	}

}