使用MapReduce将HDFS数据导入到HBase（三）

使用MapReduce生成HFile文件，通过BulkLoader方式（跳过WAL验证）批量加载到HBase表中

package com.mengyao.bigdata.hbase;

import java.io.IOException;

import org.apache.commons.codec.digest.DigestUtils;
import org.apache.commons.lang.StringUtils;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.HBaseConfiguration;
import org.apache.hadoop.hbase.TableName;
import org.apache.hadoop.hbase.client.Connection;
import org.apache.hadoop.hbase.client.ConnectionFactory;
import org.apache.hadoop.hbase.client.HTable;
import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.client.Table;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.HFileOutputFormat2;
import org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles;
import org.apache.hadoop.hbase.util.Bytes;
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.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

/**
 * 
 * @author mengyao
 * HBase-1.0.1.1、Hadoop-2.6.0
 *
 */
public class BulkLoadApp {
    
    private static Configuration conf = HBaseConfiguration.create();
    private static String inPath;
    private static String outPath;
    private static String tableName;
    static {
        conf.set("hbase.zookeeper.quorum", "bdata200,bdata202,bdata203");
        conf.set("hbase.zookeeper.property.clientPort", "2181");
    }

    static class BulkLoadMapper extends Mapper<LongWritable, Text, ImmutableBytesWritable, Put> {
        private ImmutableBytesWritable row;
        @Override
        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            String line = value.toString();
            //id,username,email,birthday,mobile,phone,modified
            String[] fields = line.split("	");
            String id = fields[0];
            String username = fields[1];
            String mail = fields[2];
            String birthday = fields[3];
            String mobile = fields[4];
            String phone = fields[5];
            String regtime = fields[6];
            String rowKey = DigestUtils.md5Hex(id);
            row = new ImmutableBytesWritable(Bytes.toBytes(rowKey));
            Put put = new Put(Bytes.toBytes(rowKey), System.currentTimeMillis());
            if (!StringUtils.isEmpty(id)) {
                put.addColumn(Bytes.toBytes("info"), Bytes.toBytes("id"), Bytes.toBytes(id));                
            }
            if (!StringUtils.isEmpty(username)) {
                put.addColumn(Bytes.toBytes("info"), Bytes.toBytes("username"), Bytes.toBytes(username));
            }
            if (!StringUtils.isEmpty(mail)) {
                put.addColumn(Bytes.toBytes("info"), Bytes.toBytes("mail"), Bytes.toBytes(mail));
            }
            if (!StringUtils.isEmpty(birthday) || !birthday.equals("0000-00-00")) {
                put.addColumn(Bytes.toBytes("info"), Bytes.toBytes("birthday"), Bytes.toBytes(birthday));
            }
            if (!StringUtils.isEmpty(mobile)) {
                put.addColumn(Bytes.toBytes("info"), Bytes.toBytes("mobile"), Bytes.toBytes(mobile));
            }
            if (!StringUtils.isEmpty(phone)) {
                put.addColumn(Bytes.toBytes("info"), Bytes.toBytes("phone"), Bytes.toBytes(phone));
            }
            if (!StringUtils.isEmpty(regtime)) {
                put.addColumn(Bytes.toBytes("info"), Bytes.toBytes("modified"), Bytes.toBytes(regtime));
            }
            context.write(row, put);
        }
    }
    
    static int createJob(String[] args) throws Exception {
        inPath = args[0];
        outPath = args[1];
        tableName = args[2];
        Connection connection = ConnectionFactory.createConnection(conf);
        Table table = connection.getTable(TableName.valueOf(tableName));
        Job job=Job.getInstance(conf);
        job.setJarByClass(BulkLoadApp.class);
        job.setMapperClass(BulkLoadMapper.class);
        job.setNumReduceTasks(0);
        job.setMapOutputKeyClass(ImmutableBytesWritable.class);
        job.setMapOutputValueClass(Put.class);
        job.setOutputFormatClass(HFileOutputFormat2.class);
        HFileOutputFormat2.configureIncrementalLoad(job, table, connection.getRegionLocator(TableName.valueOf(tableName)));
        FileInputFormat.addInputPath(job,new Path(inPath));
        FileOutputFormat.setOutputPath(job,new Path(outPath));
        return job.waitForCompletion(true)?0:1;
    }
    
    /**
     * use commond:
     *         1、hadoop jar MyJar INPUT_FILE OUTPUT_DIR TABLE_NAME
     *             hadoop jar bigdata.jar /tag/data/user/haier_user.csv /tag/data/user/haier_user_out tbl_shopuser
     *         2、hbase org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles OUTPUT_DIR TABLE_NAME
     *             hbase org.apache.hadoop.hbase.mapreduce.LoadIncrementalHFiles /tag/data/user/haier_user_out tbl_shopuser
     * @param args
     * @throws Exception
     */
    @SuppressWarnings("deprecation")
    public static void main(String[] args) throws Exception {
        if (args.length!=3) {
            System.out.println("Usage: "+BulkLoadApp.class.getName()+" Input paramters <INPUT_PATH> <OUTPUT_PATH> <TABLE_NAME>");
        } else {
            int status = createJob(args);
            if (status == 0) {
                LoadIncrementalHFiles loadHFiles = new LoadIncrementalHFiles(conf);
                loadHFiles.doBulkLoad(new Path(outPath), new HTable(conf, Bytes.toBytes(tableName)));
            }
            System.exit(status);
        }
    }
    
}