1.导入必要依赖
<!--mysql依赖-->
<dependency>
<groupId>com.mysql</groupId>
<artifactId>mysql-connector-j</artifactId>
<version>8.3.0</version>
</dependency>
<!-- druid连接池 -->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.2.23</version>
</dependency>
<!--spring依赖-->
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-context</artifactId>
<version>6.1.12</version>
</dependency>
<!--spring操作jdbc依赖-->
<dependency>
<groupId>org.springframework</groupId>
<artifactId>spring-jdbc</artifactId>
<version>6.1.12</version>
</dependency>
2. 创建spring配置文件(applicationContext.xml)
<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd">
<!-- 整合Druid数据源连接池 -->
<bean id="dataSource" class="com.alibaba.druid.pool.DruidDataSource">
<!-- 注入相关的连接属性 -->
<property name="driverClassName" value="com.mysql.cj.jdbc.Driver"/>
<property name="url" value="jdbc:mysql://localhost:3306/demo?useSSL=false&useUnicode=true&characterEncoding=utf-8&timeZone=Asia/Shanghai"/>
<property name="username" value="root"/>
<property name="password" value="1234"/>
<!-- 连接池的属性配置-->
<!-- 最大连接池数量-->
<property name="maxActive" value="200"/>
<!-- 初始化连接池的时候建立的连接个数-->
<property name="initialSize" value="10"/>
<!-- 连接池最小连接数-->
<property name="minIdle" value="10"/>
<!-- 获取连接的最大等待时间,单位:毫秒-->
<property name="maxWait" value="2000"/>
<!-- 检测连接是否有效-->
<property name="testWhileIdle" value="true"/>
<property name="testOnReturn" value="false"/>
<!-- 用一条伪sql来检查连接-->
<property name="validationQuery" value="select 1"/>
<!-- 是否缓存PreparedStatement,mysql中建议关闭-->
<property name="poolPreparedStatements" value="false"/>
</bean>
</beans>
3.编写main方法
public class Main {
public static void main(String[] args) throws Exception {
ApplicationContext context = new ClassPathXmlApplicationContext("applicationContext.xml");
//从容器中获取数据源连接池(Druid实现)
DataSource dataSource = context.getBean("dataSource", DataSource.class);
//可以强转为DruidDataSource
DruidDataSource ds = (DruidDataSource) dataSource;
//从池中获取连接(当第一次获取连接时才初始化)
Connection connection = ds.getConnection();
System.out.println("池大小:" + ds.getPoolingCount());
connection.close();
System.out.println("池大小:" + ds.getPoolingCount());
}
}
4. 测试结果
spring整合druid连接池完成