# Spring/Spring Boot 整合 Mybatis + Phoenix ## 一、前言 使用Spring+Mybatis操作Phoenix和操作其他的关系型数据库(如Mysql,Oracle)在配置上是基本相同的,下面会分别给出Spring/Spring Boot 整合步骤,完整代码见本仓库: + [Spring + Mybatis + Phoenix](https://github.com/heibaiying/BigData-Notes/tree/master/code/Phoenix/spring-mybatis-phoenix) + [SpringBoot + Mybatis + Phoenix](https://github.com/heibaiying/BigData-Notes/tree/master/code/Phoenix/spring-boot-mybatis-phoenix) ## 二、Spring + Mybatis + Phoenix ### 2.1 项目结构
### 2.2 主要依赖 除了Spring相关依赖外,还需要导入`phoenix-core`和对应的Mybatis依赖包 ```xml org.mybatis mybatis-spring 1.3.2 org.mybatis mybatis 3.4.6 org.apache.phoenix phoenix-core 4.14.0-cdh5.14.2 ``` ### 2.3 数据库配置文件 在数据库配置文件 `jdbc.properties` 中配置数据库驱动和zookeeper地址 ```properties # 数据库驱动 phoenix.driverClassName=org.apache.phoenix.jdbc.PhoenixDriver # zookeeper地址 phoenix.url=jdbc:phoenix:192.168.0.105:2181 ``` ### 2.4 配置数据源和会话工厂 ```xml ``` ### 2.5 Mybtais参数配置 新建mybtais配置文件,按照需求配置额外参数, 更多settings配置项可以参考[官方文档](http://www.mybatis.org/mybatis-3/zh/configuration.html) ```xml ``` ### 2.6 查询接口 ```java public interface PopulationDao { List queryAll(); void save(USPopulation USPopulation); USPopulation queryByStateAndCity(@Param("state") String state, @Param("city") String city); void deleteByStateAndCity(@Param("state") String state, @Param("city") String city); } ``` ```xml UPSERT INTO us_population VALUES( #{state}, #{city}, #{population} ) DELETE FROM us_population WHERE state=#{state} AND city = #{city} ``` ### 2.7 单元测试 ```java @RunWith(SpringRunner.class) @ContextConfiguration({"classpath:springApplication.xml"}) public class PopulationDaoTest { @Autowired private PopulationDao populationDao; @Test public void queryAll() { List USPopulationList = populationDao.queryAll(); if (USPopulationList != null) { for (USPopulation USPopulation : USPopulationList) { System.out.println(USPopulation.getCity() + " " + USPopulation.getPopulation()); } } } @Test public void save() { populationDao.save(new USPopulation("TX", "Dallas", 66666)); USPopulation usPopulation = populationDao.queryByStateAndCity("TX", "Dallas"); System.out.println(usPopulation); } @Test public void update() { populationDao.save(new USPopulation("TX", "Dallas", 99999)); USPopulation usPopulation = populationDao.queryByStateAndCity("TX", "Dallas"); System.out.println(usPopulation); } @Test public void delete() { populationDao.deleteByStateAndCity("TX", "Dallas"); USPopulation usPopulation = populationDao.queryByStateAndCity("TX", "Dallas"); System.out.println(usPopulation); } } ``` ## 三、SpringBoot + Mybatis + Phoenix ### 3.1 项目结构
### 3.2 主要依赖 ```xml org.mybatis.spring.boot mybatis-spring-boot-starter 1.3.2 org.apache.phoenix phoenix-core 4.14.0-cdh5.14.2 ``` spring boot 与 mybatis 版本的对应关系: | MyBatis-Spring-Boot-Starter 版本 | MyBatis-Spring 版本 | Spring Boot 版本 | | -------------------------------- | ------------------- | ---------------- | | **1.3.x (1.3.1)** | 1.3 or higher | 1.5 or higher | | **1.2.x (1.2.1)** | 1.3 or higher | 1.4 or higher | | **1.1.x (1.1.1)** | 1.3 or higher | 1.3 or higher | | **1.0.x (1.0.2)** | 1.2 or higher | 1.3 or higher | ### 3.3 配置数据源 在application.yml 中配置数据源,spring boot 2.x 版本默认采用Hikari作为数据库连接池,Hikari是目前java平台性能最好的连接池,性能好于druid。 ```yaml spring: datasource: #zookeeper地址 url: jdbc:phoenix:192.168.0.105:2181 driver-class-name: org.apache.phoenix.jdbc.PhoenixDriver # 如果不想配置对数据库连接池做特殊配置的话,以下关于连接池的配置就不是必须的 # spring-boot 2.X 默认采用高性能的 Hikari 作为连接池 更多配置可以参考 https://github.com/brettwooldridge/HikariCP#configuration-knobs-baby type: com.zaxxer.hikari.HikariDataSource hikari: # 池中维护的最小空闲连接数 minimum-idle: 10 # 池中最大连接数,包括闲置和使用中的连接 maximum-pool-size: 20 # 此属性控制从池返回的连接的默认自动提交行为。默认为true auto-commit: true # 允许最长空闲时间 idle-timeout: 30000 # 此属性表示连接池的用户定义名称,主要显示在日志记录和JMX管理控制台中,以标识池和池配置。 默认值:自动生成 pool-name: custom-hikari #此属性控制池中连接的最长生命周期,值0表示无限生命周期,默认1800000即30分钟 max-lifetime: 1800000 # 数据库连接超时时间,默认30秒,即30000 connection-timeout: 30000 # 连接测试sql 这个地方需要根据数据库方言差异而配置 例如 oracle 就应该写成 select 1 from dual connection-test-query: SELECT 1 # mybatis 相关配置 mybatis: configuration: # 是否打印sql语句 调试的时候可以开启 log-impl: org.apache.ibatis.logging.stdout.StdOutImpl ``` ### 3.4 新建查询接口 上面Spring+Mybatis我们使用了XML的方式来写SQL,为了体现Mybatis支持多种方式,这里使用注解的方式来写SQL。 ```java @Mapper public interface PopulationDao { @Select("SELECT * from us_population") List queryAll(); @Insert("UPSERT INTO us_population VALUES( #{state}, #{city}, #{population} )") void save(USPopulation USPopulation); @Select("SELECT * FROM us_population WHERE state=#{state} AND city = #{city}") USPopulation queryByStateAndCity(String state, String city); @Delete("DELETE FROM us_population WHERE state=#{state} AND city = #{city}") void deleteByStateAndCity(String state, String city); } ``` ### 3.5 单元测试 ```java @RunWith(SpringRunner.class) @SpringBootTest public class PopulationTest { @Autowired private PopulationDao populationDao; @Test public void queryAll() { List USPopulationList = populationDao.queryAll(); if (USPopulationList != null) { for (USPopulation USPopulation : USPopulationList) { System.out.println(USPopulation.getCity() + " " + USPopulation.getPopulation()); } } } @Test public void save() { populationDao.save(new USPopulation("TX", "Dallas", 66666)); USPopulation usPopulation = populationDao.queryByStateAndCity("TX", "Dallas"); System.out.println(usPopulation); } @Test public void update() { populationDao.save(new USPopulation("TX", "Dallas", 99999)); USPopulation usPopulation = populationDao.queryByStateAndCity("TX", "Dallas"); System.out.println(usPopulation); } @Test public void delete() { populationDao.deleteByStateAndCity("TX", "Dallas"); USPopulation usPopulation = populationDao.queryByStateAndCity("TX", "Dallas"); System.out.println(usPopulation); } } ``` ## 附:建表语句 上面单元测试涉及到的测试表的建表语句如下: ```sql CREATE TABLE IF NOT EXISTS us_population ( state CHAR(2) NOT NULL, city VARCHAR NOT NULL, population BIGINT CONSTRAINT my_pk PRIMARY KEY (state, city)); -- 测试数据 UPSERT INTO us_population VALUES('NY','New York',8143197); UPSERT INTO us_population VALUES('CA','Los Angeles',3844829); UPSERT INTO us_population VALUES('IL','Chicago',2842518); UPSERT INTO us_population VALUES('TX','Houston',2016582); UPSERT INTO us_population VALUES('PA','Philadelphia',1463281); UPSERT INTO us_population VALUES('AZ','Phoenix',1461575); UPSERT INTO us_population VALUES('TX','San Antonio',1256509); UPSERT INTO us_population VALUES('CA','San Diego',1255540); UPSERT INTO us_population VALUES('CA','San Jose',912332); ```