MapReduce操作hbase实例代码 MapReduce读取文件，存入hbase实例

废话我就不说了，直接上代码，很简单，一看就懂

/**----------------------------------------------------------------
// 文件名：DataToHbase.java
//
// 创建时间：2012-11-7
//----------------------------------------------------------------*/

package com.xiaochen.mr.test;

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

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
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.lib.input.FileInputFormat;
import org.jruby.util.Random;

/**
 * 类描述
 *
 * @version [PZoom-V2.0]
 * @author  liuxiaochen
 *
 * 修改标识：
 * 修改描述：
 * 
 */
public class DataToHbase 
{
	public static class MapHbase extends Mapper<Object, Text, Text, IntWritable>
	{
		private final static IntWritable one = new IntWritable(1) ;
		private Text text = new Text() ;

		public void map(Object key, Text value, Context context)	throws IOException, InterruptedException 
		{
			String line = value.toString() ;
			StringTokenizer stiz = new StringTokenizer(line) ;
			while(stiz.hasMoreTokens()) 
			{
				text.set(stiz.nextToken()) ;
				context.write(text, one) ;
			}
		}
		
	}
	
	public static class ReduceHbase extends TableReducer<Text, IntWritable, Text>
	{

		public void reduce(Text text, Iterable<IntWritable> values, Context context)
				throws IOException, InterruptedException 
		{
			Put put = null ;
			String rowkey = "" ;
			int sum = 0 ;
			for(IntWritable i : values) 
			{
				sum += i.get() ;
			}
			rowkey = String.valueOf(new Random(100)) ;
			put = new Put(rowkey.getBytes()) ;
			put.add("content".getBytes(), "text".getBytes(), (sum+"").getBytes()) ;
			put.add("content".getBytes(), "sum".getBytes(), text.toString().getBytes()) ;
			
			context.write(new Text("xchen1"), put) ;
		}
		
	}
	
	public static void main(String[] args) throws IOException, InterruptedException, ClassNotFoundException 
	{
		Configuration conf = new Configuration();
		conf.set("hbase.zookeeper.quorum","192.168.1.30,192.168.1.31,192.168.1.32");
		conf.set("hbase.zookeeper.property.clientPort", "2222");
		Job job;
		job = new Job(conf, "Runner"); //
		
		Path in = new Path("D:/testFile/mr2/a.txt") ; 
		job.setJarByClass(DataToHbase.class) ;
		job.setMapOutputKeyClass(Text.class) ;
		job.setMapOutputValueClass(IntWritable.class) ;
		
		job.setMapperClass(MapHbase.class) ;
		job.setReducerClass(ReduceHbase.class) ;
		FileInputFormat.setInputPaths(job, in);
//		org.apache.hadoop.mapreduce.lib.output.FileOutputFormat.setOutputPath(job, new Path("D:/testFile/mr1/" + new Date().getTime())) ;
		
		
		TableMapReduceUtil.initTableReducerJob("xchen1", ReduceHbase.class, job) ;
//		com.hbase.TableMapReduceUtil.initMulitTableReducerJob("xchen1",ReduceHbase.class, job, null, null, null,
//				null, true);
		
		job.waitForCompletion(true);
	}
}

废话我就不说了，直接上代码