Spring/Spring Boot 整合 Mybatis + Phoenix

<!--mybatis 依赖包-->
<dependency>
    <groupId>org.mybatis</groupId>
    <artifactId>mybatis-spring</artifactId>
    <version>1.3.2</version>
</dependency>
<dependency>
    <groupId>org.mybatis</groupId>
    <artifactId>mybatis</artifactId>
    <version>3.4.6</version>
</dependency>
<!--phoenix core-->
<dependency>
    <groupId>org.apache.phoenix</groupId>
    <artifactId>phoenix-core</artifactId>
    <version>4.14.0-cdh5.14.2</version>
</dependency>

# 数据库驱动
phoenix.driverClassName=org.apache.phoenix.jdbc.PhoenixDriver
# zookeeper地址
phoenix.url=jdbc:phoenix:192.168.0.105:2181

<?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:context="http://www.springframework.org/schema/context" xmlns:tx="http://www.springframework.org/schema/tx"
       xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
        http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context-4.1.xsd http://www.springframework.org/schema/tx http://www.springframework.org/schema/tx/spring-tx.xsd">

    <!-- 开启注解包扫描-->
    <context:component-scan base-package="com.heibaiying.*"/>

    <!--指定配置文件的位置-->
    <context:property-placeholder location="classpath:jdbc.properties"/>

    <!--配置数据源-->
    <bean id="dataSource" class="org.springframework.jdbc.datasource.DriverManagerDataSource">
        <!--Phoenix 配置-->
        <property name="driverClassName" value="${phoenix.driverClassName}"/>
        <property name="url" value="${phoenix.url}"/>
    </bean>

    <!--配置 mybatis 会话工厂 -->
    <bean id="sqlSessionFactory" class="org.mybatis.spring.SqlSessionFactoryBean">
        <property name="dataSource" ref="dataSource"/>
        <!--指定 mapper 文件所在的位置-->
        <property name="mapperLocations" value="classpath*:/mappers/**/*.xml"/>
        <property name="configLocation" value="classpath:mybatisConfig.xml"/>
    </bean>

    <!--扫描注册接口 -->
    <!--作用:从接口的基础包开始递归搜索，并将它们注册为 MapperFactoryBean(只有至少一种方法的接口才会被注册;, 具体类将被忽略)-->
    <bean class="org.mybatis.spring.mapper.MapperScannerConfigurer">
        <!--指定会话工厂 -->
        <property name="sqlSessionFactoryBeanName" value="sqlSessionFactory"/>
        <!-- 指定 mybatis 接口所在的包 -->
        <property name="basePackage" value="com.heibaiying.dao"/>
    </bean>

</beans>

<?xml version="1.0" encoding="UTF-8" ?>
<!DOCTYPE configuration
        PUBLIC "-//mybatis.org//DTD Config 3.0//EN"
        "http://mybatis.org/dtd/mybatis-3-config.dtd">

<!-- mybatis 配置文件 -->
<configuration>
    <settings>
        <!-- 开启驼峰命名 -->
        <setting name="mapUnderscoreToCamelCase" value="true"/>
        <!-- 打印查询 sql -->
        <setting name="logImpl" value="STDOUT_LOGGING"/>
    </settings>
</configuration>

public interface PopulationDao {

    List<USPopulation> 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);
}

<!DOCTYPE mapper
        PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
        "http://mybatis.org/dtd/mybatis-3-mapper.dtd">

<mapper namespace="com.heibaiying.dao.PopulationDao">


    <select id="queryAll" resultType="com.heibaiying.bean.USPopulation">
        SELECT * FROM us_population
    </select>

    <insert id="save">
        UPSERT INTO us_population VALUES( #{state}, #{city}, #{population} )
    </insert>

    <select id="queryByStateAndCity" resultType="com.heibaiying.bean.USPopulation">
        SELECT * FROM us_population WHERE state=#{state} AND city = #{city}
    </select>

    <delete id="deleteByStateAndCity">
        DELETE FROM us_population WHERE state=#{state} AND city = #{city}
    </delete>

</mapper>

@RunWith(SpringRunner.class)
@ContextConfiguration({"classpath:springApplication.xml"})
public class PopulationDaoTest {

    @Autowired
    private PopulationDao populationDao;

    @Test
    public void queryAll() {
        List<USPopulation> 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);
    }
}

<!--spring 1.5 x 以上版本对应 mybatis 1.3.x (1.3.1)
        关于更多 spring-boot 与 mybatis 的版本对应可以参见 <a href="http://www.mybatis.org/spring-boot-starter/mybatis-spring-boot-autoconfigure/">-->
<dependency>
    <groupId>org.mybatis.spring.boot</groupId>
    <artifactId>mybatis-spring-boot-starter</artifactId>
    <version>1.3.2</version>
</dependency>
<!--phoenix core-->
<dependency>
    <groupId>org.apache.phoenix</groupId>
    <artifactId>phoenix-core</artifactId>
    <version>4.14.0-cdh5.14.2</version>
</dependency>
<dependency>

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

@Mapper
public interface PopulationDao {

    @Select("SELECT * from us_population")
    List<USPopulation> 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);
}

@RunWith(SpringRunner.class)
@SpringBootTest
public class PopulationTest {

    @Autowired
    private PopulationDao populationDao;

    @Test
    public void queryAll() {
        List<USPopulation> 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);
    }

}

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);