# 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);
```