利用CombineFileInputFormat把netflix data set 导入到Hbase里

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package com.mr.test;

import java.io.IOException;

import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.input.CombineFileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.CombineFileRecordReader;
import org.apache.hadoop.mapreduce.lib.input.CombineFileSplit;

public class CombineSmallfileInputFormat extends CombineFileInputFormat<LongWritable, BytesWritable> {

	@Override
	public RecordReader<LongWritable, BytesWritable> createRecordReader(InputSplit split, TaskAttemptContext context) throws IOException {

		CombineFileSplit combineFileSplit = (CombineFileSplit) split;
		CombineFileRecordReader<LongWritable, BytesWritable> recordReader = new CombineFileRecordReader<LongWritable, BytesWritable>(combineFileSplit, context, CombineSmallfileRecordReader.class);
		try {
			recordReader.initialize(combineFileSplit, context);
		} catch (InterruptedException e) {
			new RuntimeException("Error to initialize CombineSmallfileRecordReader.");
		}
		return recordReader;
	}

}

package com.mr.test;

import java.io.IOException;

import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.BytesWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.mapreduce.InputSplit;
import org.apache.hadoop.mapreduce.RecordReader;
import org.apache.hadoop.mapreduce.TaskAttemptContext;
import org.apache.hadoop.mapreduce.lib.input.CombineFileSplit;
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
import org.apache.hadoop.mapreduce.lib.input.LineRecordReader;

public class CombineSmallfileRecordReader extends RecordReader<LongWritable, BytesWritable> {

	private CombineFileSplit combineFileSplit;
	private LineRecordReader lineRecordReader = new LineRecordReader();
	private Path[] paths;
	private int totalLength;
	private int currentIndex;
	private float currentProgress = 0;
	private LongWritable currentKey;
	private BytesWritable currentValue = new BytesWritable();

	public CombineSmallfileRecordReader(CombineFileSplit combineFileSplit, TaskAttemptContext context, Integer index) throws IOException {
		super();
		this.combineFileSplit = combineFileSplit;
		this.currentIndex = index; // 当前要处理的小文件Block在CombineFileSplit中的索引
	}

	@Override
	public void initialize(InputSplit split, TaskAttemptContext context) throws IOException, InterruptedException {
		this.combineFileSplit = (CombineFileSplit) split;
		// 处理CombineFileSplit中的一个小文件Block，由于使用LineRecordReader，须要构造一个FileSplit对象，然后才可以读取数据
		FileSplit fileSplit = new FileSplit(combineFileSplit.getPath(currentIndex), combineFileSplit.getOffset(currentIndex), combineFileSplit.getLength(currentIndex), combineFileSplit.getLocations());
		lineRecordReader.initialize(fileSplit, context);

		this.paths = combineFileSplit.getPaths();
		totalLength = paths.length;
		context.getConfiguration().set("map.input.file.name", combineFileSplit.getPath(currentIndex).getName());
	}

	@Override
	public LongWritable getCurrentKey() throws IOException, InterruptedException {
		currentKey = lineRecordReader.getCurrentKey();
		return currentKey;
	}

<strong><span style="color:#ff0000;">	@Override
	public BytesWritable getCurrentValue() throws IOException, InterruptedException {
		System.out.println("lineRecordReader:"+lineRecordReader.getCurrentValue().toString());
		byte[] content = lineRecordReader.getCurrentValue().toString().getBytes();
		System.out.println("content:"+new String(content));
		currentValue = new BytesWritable();
		currentValue.set(content, 0, content.length);
		System.out.println("currentValue:"+new String(currentValue.getBytes()));
		return currentValue;
	}</span></strong>
	public static void main(String args[]){
		BytesWritable cv = new BytesWritable();
		String str1 = "1234567";
		String str2 = "123450";
		cv.set(str1.getBytes(), 0, str1.getBytes().length);
		System.out.println(new String(cv.getBytes()));

		cv.setCapacity(0);

		cv.set(str2.getBytes(), 0, str2.getBytes().length);
		System.out.println(new String(cv.getBytes()));
	}
	@Override
	public boolean nextKeyValue() throws IOException, InterruptedException {
		if (currentIndex >= 0 && currentIndex < totalLength) {
			return lineRecordReader.nextKeyValue();
		} else {
			return false;
		}
	}

	@Override
	public float getProgress() throws IOException {
		if (currentIndex >= 0 && currentIndex < totalLength) {
			currentProgress = (float) currentIndex / totalLength;
			return currentProgress;
		}
		return currentProgress;
	}

	@Override
	public void close() throws IOException {
		lineRecordReader.close();
	}
}

package com.mr.test;

import java.io.IOException;
import java.util.Iterator;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.HColumnDescriptor;
import org.apache.hadoop.hbase.HTableDescriptor;
import org.apache.hadoop.hbase.client.HBaseAdmin;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.hbase.util.Bytes;
import org.apache.hadoop.io.BytesWritable;
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.apache.hadoop.util.GenericOptionsParser;

public class BulkImportData {

	public static class TokenizerMapper extends
			Mapper<Object, BytesWritable, Text, Text> {
		public Text _key = new Text();
		public Text _value = new Text();
		public void map(Object key, BytesWritable value, Context context)
				throws IOException, InterruptedException {
			_value.set(value.getBytes());
			String tmp = _value.toString().trim();
			System.out.println(tmp);
			tmp = tmp.replace("\\x00", "");
			_value.set(tmp);
			String filename = context.getConfiguration().get("map.input.file.name");
			String[] splits = _value.toString().split(",");
			if(splits.length==3){
				filename = filename.replace("mv_", "");
				filename = filename.replace(".txt", "");
				_key.set(splits[0]+"_"+filename);
				context.write(_key, _value);
			}
		}
	}
	public static class IntSumReducer extends
			TableReducer<Text, Text, ImmutableBytesWritable> {
		public void reduce(Text key, Iterable<Text> values,
				Context context) throws IOException, InterruptedException {
			Iterator<Text> itr = values.iterator();
			while(itr.hasNext()){
				Text t = itr.next();
				String[] strs = t.toString().split(",");
				if(strs.length!=3)continue;
				Put put = new Put(key.getBytes());
				put.add(Bytes.toBytes("content"), Bytes.toBytes("score"), Bytes.toBytes(strs[1].trim()));
				put.add(Bytes.toBytes("content"), Bytes.toBytes("date"), Bytes.toBytes(strs[2].trim()));
				context.write(new ImmutableBytesWritable(key.getBytes()), put);
			}
		}
	}

	public static void main(String[] args) throws Exception {
		String tablename = "ntf_data";
		Configuration conf = HBaseConfiguration.create();
		HBaseAdmin admin = new HBaseAdmin(conf);
		if (admin.tableExists(tablename)) {
			admin.disableTable(tablename);
			admin.deleteTable(tablename);
		}
		HTableDescriptor htd = new HTableDescriptor(tablename);
		HColumnDescriptor hcd = new HColumnDescriptor("content");
		htd.addFamily(hcd);
		admin.createTable(htd);
		String[] otherArgs = new GenericOptionsParser(conf, args)
				.getRemainingArgs();
		if (otherArgs.length != 1) {
			System.err
					.println("Usage: wordcount <in> <out>" + otherArgs.length);
			System.exit(2);
		}
		Job job = new Job(conf, "h");
		job.setMapperClass(TokenizerMapper.class);
		job.setJarByClass(BulkImportData.class);
		job.setInputFormatClass(CombineSmallfileInputFormat.class);
		job.setNumReduceTasks(5);
		FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
		TableMapReduceUtil.initTableReducerJob(tablename, IntSumReducer.class,
				job);
		job.setOutputKeyClass(Text.class);
		job.setOutputValueClass(Text.class);
		System.exit(job.waitForCompletion(true) ?

0 : 1);
	}
}