hbase->Mapreduce->hbase

Hbase对Mapreduce API进行了扩展，方便Mapreduce任务读写HTable数据。

package taglib.customer;
import java.io.IOException;  

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Result;
import org.apache.hadoop.hbase.client.Scan;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableMapper;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
public class MrHbase {

	public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
		// TODO Auto-generated method stub
		Configuration conf = HBaseConfiguration.create();
		conf.set("hbase.zookeeper.quorum", "192.168.58.101");
        Job job = new Job(conf,"ExampleSummary");
        job.setJarByClass(MrHbase.class);     // class that contains mapper and reducer  

        Scan scan = new Scan();
        scan.setCaching(500);        // 1 is the default in Scan, which will be bad for MapReduce jobs
        scan.setCacheBlocks(false);  // don't set to true for MR jobs
        // set other scan attrs
        //scan.addColumn(family, qualifier);
        TableMapReduceUtil.initTableMapperJob(
                "blog",        // input table
                scan,               // Scan instance to control CF and attribute selection
                MyMapper.class,     // mapper class
                Text.class,         // mapper output key
                IntWritable.class,  // mapper output value
                job);
        TableMapReduceUtil.initTableReducerJob(
                "blog2",        // output table
                MyTableReducer.class,    // reducer class
                job);
        job.setNumReduceTasks(1);   // at least one, adjust as required  

        boolean b = job.waitForCompletion(true);
        if (!b) {
            throw new IOException("error with job!");
        }
	}
	public static class MyMapper extends TableMapper<Text, IntWritable>  {  

        private final IntWritable ONE = new IntWritable(1);
        private Text text = new Text();  

        public void map(ImmutableBytesWritable row, Result value, Context context) throws IOException, InterruptedException {
            String ip = Bytes.toString(row.get());
            String url = new String(value.getValue(Bytes.toBytes("article"), Bytes.toBytes("title")));
            text.set(ip+"&"+url);
            context.write(text, ONE);
        }
    }
	public static class MyTableReducer extends TableReducer<Text, IntWritable, ImmutableBytesWritable>  {
        public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
            int sum = 0;
            for (IntWritable val : values) {
                sum += val.get();
            }  

            Put put = new Put(key.getBytes());
            put.add(Bytes.toBytes("article"), Bytes.toBytes("title"), Bytes.toBytes(String.valueOf(sum)));  

            context.write(null, put);
        }
    }  

}