hbase使用MapReduce操作4（实现将 HDFS 中的数据写入到 HBase 表中）

实现将 HDFS 中的数据写入到 HBase 表中

Runner类

 package com.yjsj.hbase_mr2;

 import com.yjsj.hbase_mr2.ReadFruitFromHDFSMapper;
 import com.yjsj.hbase_mr2.WriteFruitMRFromTxtReducer;
 import org.apache.hadoop.conf.Configuration;
 import org.apache.hadoop.conf.Configured;
 import org.apache.hadoop.fs.Path;
 import org.apache.hadoop.hbase.HBaseConfiguration;
 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.mapreduce.Job;
 import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
 import org.apache.hadoop.util.Tool;
 import org.apache.hadoop.util.ToolRunner;

 import java.io.IOException;

 class Txt2FruitRunner extends Configured implements Tool {
     public int run(String[] args) throws Exception {
 //得到 Configuration
         Configuration conf = this.getConf();
 //创建 Job 任务
         Job job = Job.getInstance(conf, this.getClass().getSimpleName());
         job.setJarByClass(Txt2FruitRunner.class);
         Path inPath = new Path("hdfs://master:9000/input_fruit/fruit.tsv");

         FileInputFormat.addInputPath(job, inPath);
         //设置 Mapper
         job.setMapperClass(ReadFruitFromHDFSMapper.class);
         job.setMapOutputKeyClass(ImmutableBytesWritable.class);
         job.setMapOutputValueClass(Put.class);
         //设置 Reducer
         TableMapReduceUtil.initTableReducerJob("fruit_hdfs", WriteFruitMRFromTxtReducer.class, job);
         //设置 Reduce 数量，最少 1 个
         job.setNumReduceTasks(1);
         boolean isSuccess = job.waitForCompletion(true);
         if (!isSuccess) {
             throw new IOException("Job running with error");
         }
         return isSuccess ? 0 : 1;
     }

     public static void main(String[] args) throws Exception {
         Configuration conf = HBaseConfiguration.create();
         conf = HBaseConfiguration.create();
         conf.set("hbase.zookeeper.quorum", "master,node1,node2");
         conf.set("hbase.zookeeper.property.clientPort", "2181");
         conf.set("hbase.master", "master:60000");
         int status = ToolRunner.run(conf, new Txt2FruitRunner(), args);
         System.exit(status);
     }
 }

Mapper类

 package com.yjsj.hbase_mr2;

 import java.io.IOException;

 import org.apache.hadoop.hbase.client.Put;
 import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
 import org.apache.hadoop.hbase.util.Bytes;
 import org.apache.hadoop.io.LongWritable;
 import org.apache.hadoop.io.Text;
 import org.apache.hadoop.mapreduce.Mapper;

 public class ReadFruitFromHDFSMapper extends Mapper<LongWritable, Text, ImmutableBytesWritable, Put> {
     @Override
     protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
         //从 HDFS 中读取的数据
         String lineValue = value.toString();
         //读取出来的每行数据使用\t 进行分割，存于 String 数组
         String[] values = lineValue.split("\t");
         //根据数据中值的含义取值
         String rowKey = values[0];
         String name = values[1];
         String color = values[2];
         //初始化 rowKey
         ImmutableBytesWritable rowKeyWritable = new ImmutableBytesWritable(Bytes.toBytes(rowKey));
         //初始化 put 对象
         Put put = new Put(Bytes.toBytes(rowKey));
         //参数分别:列族、列、值
         put.add(Bytes.toBytes("info"), Bytes.toBytes("name"), Bytes.toBytes(name));
         put.add(Bytes.toBytes("info"), Bytes.toBytes("color"), Bytes.toBytes(color));
         context.write(rowKeyWritable, put);
     }
 }

Reduce类

package com.yjsj.hbase_mr2;

import java.io.IOException;

import org.apache.hadoop.hbase.client.Put;
import org.apache.hadoop.hbase.io.ImmutableBytesWritable;
import org.apache.hadoop.hbase.mapreduce.TableReducer;
import org.apache.hadoop.io.NullWritable;

public class WriteFruitMRFromTxtReducer extends TableReducer<ImmutableBytesWritable, Put, NullWritable> {
    @Override
    protected void reduce(ImmutableBytesWritable key, Iterable<Put> values, Context context) throws IOException, InterruptedException {
        //读出来的每一行数据写入到 fruit_hdfs 表中
        for (Put put : values) {
            context.write(NullWritable.get(), put);
        }
    }
}