我要评论一、安装phoennix添加配置
1、将phoenix-server-hbase-2.4-5.1.2.jar拷贝至hbase的的lib下
cp phoenix-server-hbase-2.4-5.1.2.jar ../hbase/lib/
2、配置phoenix可以访问hbase的系统表
（1）将以下配置添加至hbase-site.xml中
<property>
<name>phoenix.schema.isnamespacemappingenabled</name>
<value>true</value>
</property>
<property>
<name>phoenix.schema.mapsystemtablestonamespace</name>
<value>true</value>
</property>（2）将hbase-stie.xml拷贝到phoenix/bin目录下
cp ../hbase/conf/hbase-site.xml ../phoenix/bin/
二、启动phoenix服务
1、启动hbase
../hbase/bin/start-hbase.sh
2、启动phoenix
python3 ../phoenix/bin/sqlline.py server200:2181
server200:2181为zookeeper地址
三、phoenix常用语法
官网文档 https://phoenix.apache.org/language/index.html
(1)创建表
create table test1(id varchar primary key,a varchar,b varchar);
id主键可视为hbase的rowkey
(2)插入数据
upsert into test1 values('202211160089','liuping','chenyingying');（3） 查询数据
select * from test1;
(4)视图/表映射
由于phoenix 无法直接访问hbase创建的非系统表，可以通过视图/表映射对非系统表进行查询，但视图不可修改，表映射可读可写
在hbase上创建表名为eftb列族为fm1 、fm2的表
create 'reftb','fm1','fm2'
向表中添加数据
put 'reftb','010101','fm1:name','zhangsan' put 'reftb','010101','fm2:age','九千岁'
<1>视图映射
create view "reftb"(id varchar primary key,"fm1"."name" varchar,"fm2"."age" varchar);
<2>表映射
create table "reftb"(id varchar primary key,"fm1"."name" varchar,"fm2"."age" varchar);
<3>查看数据
（5）添加修改数据（增改语法相同）
upsert into "reftb" values('010102','诸葛村夫','五十');
upsert into "reftb" values('010101','常山赵子龙','七十');（6）删除数据
delete from "reftb" where id='010101';
（7）创建schema(数据库名，对用hbase是的namespace)
create schema if not exists "my_schema";
四、java代码集成phoenix
1、添加依赖
implementation 'org.apache.phoenix:phoenix-client-hbase-2.4:5.1.2'
2、编写代码
public class phoenixjdbcutils {
private final static logger logger = loggerfactory.getlogger(phoenixjdbcutils.class);
private static connection connection;
static {
properties properties =new properties();
phoenixdriver instance = phoenixdriver.instance;
try {
connection = instance.connect("jdbc:phoenix:server200:2181", properties);
///connection = drivermanager.getconnection("jdbc:phoenix:server200:2181", properties);
} catch (sqlexception e) {
e.printstacktrace();
}
}
/**
* 插入数据
* @throws sqlexception
*/
public static void testupsertdata() throws sqlexception {
preparedstatement psupsert = connection.preparestatement( " upsert into \"reftb\" values('168936','刘备','63')");
boolean adddata = psupsert.execute();
logger.info("adddata---------"+adddata);
connection.commit();
}
/**
* 查询数据
* @throws sqlexception
*/
public static void testquerydata() throws sqlexception {
preparedstatement psquery = connection.preparestatement(" select * from \"reftb\" ");
resultset resultset = psquery.executequery();
while (resultset.next()) {
logger.info("id--{}",resultset.getstring(1));
logger.info("name--{}",resultset.getstring(2));
logger.info("age--{}",resultset.getstring(3));
}
}
public static void main(string[] args) {
try {
testquerydata();
testupsertdata();
} catch (exception e) {
e.printstacktrace();
}
}
}到此这篇关于大数据开发phoenix连接hbase流程详解的文章就介绍到这了,更多相关phoenix连接hbase内容请搜索代码网以前的文章或继续浏览下面的相关文章希望大家以后多多支持代码网！
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