1、  环境准备:

Maven

Eclipse

Java

Spring 版本 3..2.9

2、 Maven  pom.xml配置

<!-- Spring hadoop  -->
<dependency>
<groupId>org.apache.hbase</groupId>
<artifactId>hbase-client</artifactId>
<version>0.96.1.1-hadoop2</version>
</dependency>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-jpa</artifactId>
<version>1.6.0.RELEASE</version>
</dependency>
<dependency>
<groupId>org.springframework.data</groupId>
<artifactId>spring-data-hadoop</artifactId>
<version>2.0.2.RELEASE</version>
</dependency>

3、 Spring和hadoop、hbase相关配置文件

  <?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jdbc="http://www.springframework.org/schema/jdbc"
xmlns:tx="http://www.springframework.org/schema/tx" xmlns:util="http://www.springframework.org/schema/util"
xmlns:aop="http://www.springframework.org/schema/aop" xmlns:context="http://www.springframework.org/schema/context"
xmlns:mongo="http://www.springframework.org/schema/data/mongo"
xmlns:hdp="http://www.springframework.org/schema/hadoop"
xmlns:cache="http://www.springframework.org/schema/cache" xmlns:c="http://www.springframework.org/schema/c"
xmlns:p="http://www.springframework.org/schema/p"
xsi:schemaLocation="
http://www.springframework.org/schema/jdbc http://www.springframework.org/schema/jdbc/spring-jdbc.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/util http://www.springframework.org/schema/util/spring-util.xsd
http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx.xsd
http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop.xsd
http://www.springframework.org/schema/data/mongo http://www.springframework.org/schema/data/mongo/spring-mongo.xsd
http://www.springframework.org/schema/hadoop http://www.springframework.org/schema/hadoop/spring-hadoop.xsd
http://www.springframework.org/schema/cache http://www.springframework.org/schema/cache/spring-cache.xsd
http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd">

  其中标红的是spring  hadoop xml命名空间配置。

Hadoop hbase相关配置文件如下:

<!--  默认properties-->

<hdp:configuration>fs.default.name=hdfs://192.98.8.224:8010</hdp:configuration>

<hdp:hbase-configuration delete-connection="${delete-connection}" zk-quorum="${hbase.zookeeper.quorum}" zk-          port="${hbase.zookeeper.property.clientPort}"/>

对应的properties如下:

hbase.zookeeper.property.clientPort=2181

hbase.zookeeper.quorum=192.98.8.224

hbase.master=192.98.8.224:600000

fs.default.name=hdfs://192.98.8.224:8010

delete-connection=true

#hive jdbc url

hive.url=jdbc:hive://192.98.8.224:10000/default

spring hbasetemplate配置如下:

<bean id="hbaseTemplate" class="org.springframework.data.hadoop.hbase.HbaseTemplate"> <property name="configuration" ref="hbaseConfiguration" />

</bean>

Hbasetemplate使用代码示例:

Tile t = hbaseTemplate.get("GW_TILES", "0_1_1", new RowMapper<Tile>() {

			@Override
public Tile mapRow(Result result, int rowNum) throws Exception {
// TODO Auto-generated method stub Tile t = new Tile();
t.setData(result.getValue("T".getBytes(), "key".getBytes()));
return t;
}
});

  

Hbasetemplate 常用方法简介:

hbaseTemplate.get("GW_TILES", "0_1_1", new RowMapper  常用于查询,使用示例如下所示:

Tile t = hbaseTemplate.get("GW_TILES", "0_1_1", new RowMapper<Tile>() {

			@Override
public Tile mapRow(Result result, int rowNum) throws Exception {
// TODO Auto-generated method stub Tile t = new Tile();
t.setData(result.getValue("T".getBytes(), "key".getBytes()));
return t;
}
});

  hbaseTemplate.execute(dataIdentifier, new TableCallback 常用于更新操作,使用示例如下所示:

return hbaseTemplate.execute(dataIdentifier, new TableCallback<Boolean>() {

			@Override
public Boolean doInTable(HTableInterface table) throws Throwable {
// TODO Auto-generated method stub
boolean flag = false;
try{
Delete delete = new Delete(key.getBytes());
table.delete(delete);
flag = true;
}catch(Exception e){
e.printStackTrace();
}
return flag;
}
});

  

备注:spring hbasetemplate针对hbase接口做了强大的封装,普通功能可以使用它强大的接口,同时复杂的功能,还可以使用hbase原生的接口,如:HTableInterface、Result等。其类方法如下图:

spring hadoop 访问hbase入门-LMLPHP

同时hbasetemplate封装了hbase连接池等,它的创建和释放通过配置来自动管理。

文章转载请注明出处:http://www.cnblogs.com/likehua/p/4016257.html

05-11 10:52