读hdfs数据写到HBase中：
注意hadoop和HBase的包都需要导入，
先创建表
WordCountMapper：
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package com.laoxiao.mr.hbase;
import java.io.IOException;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
/**
*
* @author root
* 定义map任务输入和输出数据类型。
*
*/
public class WordCountMapper extends Mapper<LongWritable, Text, Text, IntWritable>{
/**
* map方法是一行数据调用一次。每一次调用传入一行数据。该行数据的下标位为key。内容为value
*/
protected void map(LongWritable key, Text value,
Context context)
throws IOException, InterruptedException {
String[] words =value.toString().split(" ");
for (int i = 0; i < words.length; i++) {
String w = words[i];
Text outkey =new Text(w);
IntWritable outvalue=new IntWritable(1);
context.write(outkey, outvalue);
}
}
}
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WordCountReducer：
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package com.laoxiao.mr.hbase;
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.IntWritable;
import org.apache.hadoop.io.Text;
public class WordCountReducer extends TableReducer<Text, IntWritable, ImmutableBytesWritable>{
/*
* 该方法每一组调用一次。
*/
protected void reduce(Text key, Iterable<IntWritable> arg1,
Context context)
throws IOException, InterruptedException {
int sum =0;
for(IntWritable i :arg1){
sum=sum+i.get();
}
Put put = new Put(key.toString().getBytes());
put.add("cf".getBytes(), "count".getBytes(), (sum+"").getBytes());
context.write(null, put);
}
}
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RunJob：
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package com.laoxiao.mr.hbase;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
public class RunJob {
public static void main(String[] args) throws Exception {
Configuration config =new Configuration();
config.set("fs.defaultFS", "hdfs://node1:9000");
config.set("yarn.resourcemanager.hostname", "node1");
// config.set("mapred.jar", "C:\\Users\\Administrator\\Desktop\\wc.jar");
// hbase zk集群
config.set("hbase.zookeeper.quorum", "node1");
// try {
Job job =Job.getInstance(config);
job.setJobName("word count");
job.setJarByClass(RunJob.class);//job的入口类
job.setMapperClass(WordCountMapper.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(IntWritable.class);
String tableName = "wc";
// 本地方式运行 参数addDependencyJars 需要设置为false 如果集群模式运行 保持true即可
// TableMapReduceUtil.initTableReducerJob(tableName, WordCountReducer.class, job);//集群运行
TableMapReduceUtil.initTableReducerJob(tableName, WordCountReducer.class, job,
null, null, null, null, false);
Path inputPath = new Path("/usr/input/wc.txt");
FileInputFormat.addInputPath(job, inputPath);
boolean f= job.waitForCompletion(true);
if(f){
System.out.println("job执行成功！");
}
// } catch (Exception e) {
// // TODO Auto-generated catch block
// e.printStackTrace();
// }
}
}
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