个人Hadoop编程代码记录

**WordCount
package cn.cpl.recom;

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

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
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.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;

public class WordCount extends Configured implements Tool{
static class WordCountMapper
extends Mapper<LongWritable, Text, Text, IntWritable>{
// 统计使用变量
private final static IntWritable one=
new IntWritable(1);
// 单词变量
private Text word=new Text();

	/**
	 * key:当前读取行的偏移量
	 * value：当前读取的行
	 * context:map方法执行时上下文
	 */
	@Override
	protected void map(LongWritable key, Text value, Context context)
			throws IOException, InterruptedException {
		// TODO Auto-generated method stub
		StringTokenizer words=
				new StringTokenizer(value.toString(), " ");
		
		while(words.hasMoreTokens()){
			word.set(words.nextToken());
			context.write(word, one);
		}
	}
}

static class WordCountReducer extends Reducer<Text, IntWritable, Text, IntWritable>{
	private IntWritable counter = new IntWritable();
	/**
	 * key:待统计的word
	 * values:待统计word的所有统计标识
	 * context:reduce方法执行时的上下文
	 */
	@Override
	protected void reduce(Text key, 
			Iterable<IntWritable> values,
			Reducer<Text, IntWritable, Text, IntWritable>.Context context) throws IOException, InterruptedException {
		// TODO Auto-generated method stub
		int count=0;
		for(IntWritable one:values){
			count+=one.get();
		}
		counter.set(count);
		context.write(key, counter);
	}
}

// @Override
public int run(String[] args) throws Exception {
//获得程序运行时的配置信息
Configuration conf=getConf();
String inputPath=conf.get("input");
String outputPath=conf.get("output");

	//构建新的作业
	Job job = Job.getInstance(conf, "Word Frequence Count");
	job.setJarByClass(WordCount.class);
	
	//给job设置mapper类及map方法输出的键值类型
	job.setMapperClass(WordCountMapper.class);
	job.setMapOutputKeyClass(Text.class);
	job.setMapOutputValueClass(IntWritable.class);
	
	//给job设置reducer类及reduce方法输出的键值类型
	job.setReducerClass(WordCountReducer.class);
	job.setOutputKeyClass(Text.class);
	job.setOutputValueClass(IntWritable.class);
	
	//设置数据的读取方式（文本文件）及结果的输出方式（文本文件）
	job.setInputFormatClass(TextInputFormat.class);
	job.setOutputFormatClass(TextOutputFormat.class);

	//设置输入和输出目录
	TextInputFormat.addInputPath(job, new Path(inputPath));
	TextOutputFormat.setOutputPath(job, new Path(outputPath));
	
	
	//将作业提交集群执行	
	return job.waitForCompletion(true)?0:1;
}


public static void main(String[] args) throws Exception{
	int status = ToolRunner.run(new WordCount(), args);
	System.exit(status);
}

}

**删除文件夹
public static void rmr(String folder,Configuration conf) throws IOException {
Path path = new Path(folder);
FileSystem fs = FileSystem.get(conf);
fs.deleteOnExit(path);
System.out.println("Delete: " + folder);
fs.close();
}