一，實現思路

1，先mapreduces得到并傳遞數據。

2，寫好連接表，創建表，插入表hbase數據庫的工具。

3，在reduces中調用寫好的hbase工具。

4，main類提交。

二，代碼書寫

1，mapper

package com;

import java.io.IOException;

import org.apache.hadoop.io.LongWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Mapper;

//傳遞數據

public class mapper extends Mapper{

@Override

protected void map(LongWritable key, Text value, Mapper.Context context)

throws IOException, InterruptedException {

String data = value.toString();

String[] s = data.split(",");

System.out.println(data);

context.write(new Text("1"), new User(s[0],s[1],s[2],s[3],s[4]));

}

}

2，hbase工具類

package com;

import java.util.List;

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.hbase.HBaseConfiguration;

import org.apache.hadoop.hbase.HColumnDescriptor;

import org.apache.hadoop.hbase.HTableDescriptor;

import org.apache.hadoop.hbase.TableName;

import org.apache.hadoop.hbase.client.Admin;

import org.apache.hadoop.hbase.client.Connection;

import org.apache.hadoop.hbase.client.ConnectionFactory;

import org.apache.hadoop.hbase.client.HBaseAdmin;

import org.apache.hadoop.hbase.client.Put;

import org.apache.hadoop.hbase.client.Table;

public class HbaseUtils {

public static final String c="info";

//reducer調用的方法

public static void insertinfo(String ip,String port,String tableName,List list) throws Exception{

Connection con=getConnection(ip,port);

HBaseAdmin admin = (HBaseAdmin)con.getAdmin();

Table table = con.getTable(TableName.valueOf(tableName));

boolean b = admin.tableExists(TableName.valueOf(tableName));

if(!b){

createTable(admin,tableName);

}

insertList(table,list);

}

//插入數據的方法

private static void insertList(Table table, List list) throws Exception {

for (User user : list) {

Put put = new Put(user.getId().getBytes());

put.addColumn(c.getBytes(), "name".getBytes(), user.getName().getBytes());

put.addColumn(c.getBytes(), "Age".getBytes(), user.getAge().getBytes());

put.addColumn(c.getBytes(), "Sex".getBytes(), user.getSex().getBytes());

put.addColumn(c.getBytes(), "Part".getBytes(), user.getPart().getBytes());

table.put(put);

}

}

//創建表的方法

private static void createTable(Admin admin, String tableName) throws Exception {

HTableDescriptor descriptor = new HTableDescriptor(TableName.valueOf(tableName));

HColumnDescriptor descriptor2 = new HColumnDescriptor(c);

descriptor.addFamily(descriptor2);

admin.createTable(descriptor);

}

//獲得與hbase的連接

private static Connection getConnection(String ip, String port) throws Exception {

Configuration configuration = HBaseConfiguration.create();

configuration.set("hbase.zookeeper.quorum", ip);

configuration.set("hbase.zookeeper.property.clientPort", port);

Connection connection = ConnectionFactory.createConnection(configuration);

return connection;

}

}

3，reducer

package com;

import java.io.IOException;

import java.lang.reflect.InvocationTargetException;

import java.util.ArrayList;

import java.util.List;

import org.apache.commons.beanutils.BeanUtils;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Reducer;

public class reducer extends Reducer{

@Override

protected void reduce(Text keyin, Iterable value, Reducer.Context conetxt)

throws IOException, InterruptedException {

ArrayList list=new ArrayList();

//克隆迭代器中的數據

for(User user:value) {

User user1=new User();

System.out.println(user);

try {

BeanUtils.copyProperties(user1, user);

list.add(user1);

} catch (Exception e) {

// TODO Auto-generated catch block

e.printStackTrace();

}

}

System.out.println("list+++++++++++++++"+list);

//調用hbase工具的方法

try {

HbaseUtils.insertinfo("192.168.184.131", "2181", "sw", list);

} catch (Exception e) {

// TODO Auto-generated catch block

e.printStackTrace();

}

conetxt.write(new Text("status"), new Text(":success"));

}

}

4，main

package com;

import org.apache.hadoop.conf.Configuration;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapreduce.Job;

import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

public class main {

public static void main(String[] args) throws Exception {

Configuration conf = new Configuration();

conf.set("mapreduce.framework.name", "local");

conf.set("fs.defaultFS", "file:///");

Job wordCountJob = Job.getInstance(conf);

//重要：指定本job所在的jar包

wordCountJob.setJarByClass(main.class);

//設置wordCountJob所用的mapper邏輯類為哪個類

wordCountJob.setMapperClass(mapper.class);

//設置wordCountJob所用的reducer邏輯類為哪個類

wordCountJob.setReducerClass(reducer.class);

//設置map階段輸出的kv數據類型

wordCountJob.setMapOutputKeyClass(Text.class);

wordCountJob.setMapOutputValueClass(User.class);

//設置最終輸出的kv數據類型

wordCountJob.setOutputKeyClass(Text.class);

wordCountJob.setOutputValueClass(Text.class);

//設置要處理的文本數據所存放的路徑

FileInputFormat.setInputPaths(wordCountJob, "C:\\test\\in6\\data.txt");

FileOutputFormat.setOutputPath(wordCountJob, new Path("C:\\test\\out6"));

//提交job給hadoop集群

wordCountJob.waitForCompletion(true);

}

}

總結

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