结合 spring 使用阿里 Druid 连接池配置方法

1.数据源

    <!-- 配置数据源 -->
    <bean name="dataSource" class="com.alibaba.druid.pool.DruidDataSource" init-method="init" destroy-method="close">
        <property name="driverClassName" value="${jdbc.drivername}" />
        <property name="url" value="${jdbc.url}" />
        <property name="username" value="${jdbc.username}" />
        <property name="password" value="${jdbc.password}" />

        <!-- 初始化连接大小 -->
        <property name="initialSize" value="${initialSize}" />
<!--         <property name="initialSize" value="0" /> -->
        <!-- 连接池最大使用连接数量 -->
        <property name="maxActive" value="${maxActive}" />
<!--         <property name="maxActive" value="20" /> -->
        <!-- 连接池最大空闲 
        <property name="maxIdle" value="${maxIdle}" /> -->
        <!-- 连接池最小空闲 -->
        <property name="minIdle" value="${minIdle}" />
        <!-- 获取连接最大等待时间 -->
        <property name="maxWait" value="${maxWait}" />

        <!-- <property name="poolPreparedStatements" value="true" /> <property name="maxPoolPreparedStatementPerConnectionSize" value="33" /> -->

        <property name="validationQuery" value="${validationQuery}" />
        <property name="testOnBorrow" value="${testOnBorrow}" />
        <property name="testOnReturn" value="${testOnReturn}" />
        <property name="testWhileIdle" value="${testWhileIdle}" />

        <!-- 配置间隔多久才进行一次检测,检测需要关闭的空闲连接,单位是毫秒 -->
        <property name="timeBetweenEvictionRunsMillis" value="${timeBetweenEvictionRunsMillis}" />
        <!-- 配置一个连接在池中最小生存的时间,单位是毫秒 -->
        <property name="minEvictableIdleTimeMillis" value="${minEvictableIdleTimeMillis}" />

        <!-- 打开removeAbandoned功能 -->
        <property name="removeAbandoned" value="${removeAbandoned}" />
        <!-- 1800秒,也就是30分钟 -->
        <property name="removeAbandonedTimeout" value="${removeAbandonedTimeout}" />
        <!-- 关闭abanded连接时输出错误日志 -->
        <property name="logAbandoned" value="${logAbandoned}" />

        <!-- 监控数据库 -->
        <property name="filters" value="${filters}" />
    </bean>

2.pom.xml

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid</artifactId>
    <version>1.0.15</version>
</dependency>

3.jdbc

jdbc.drivername=com.mysql.jdbc.Driver
jdbc.url=jdbc:mysql://192.168.0.100:3306/databasename?useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull
jdbc.username=root
jdbc.password=123456

initialSize=0
maxActive=20
maxIdle=20
minIdle=0
maxWait=10000
validationQuery=SELECT 1
testOnBorrow=false
testOnReturn=false
testWhileIdle=true
timeBetweenEvictionRunsMillis=6000
minEvictableIdleTimeMillis=25200000
removeAbandoned=true
removeAbandonedTimeout=1800
logAbandoned=true
filters=stat

4.web.xml添加如下配置

    <!-- 连接池监控 -->
     <filter>
        <filter-name>DruidWebStatFilter</filter-name>
        <filter-class>com.alibaba.druid.support.http.WebStatFilter</filter-class>
        <init-param>
            <param-name>exclusions</param-name>
            <param-value>*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*</param-value>
        </init-param>
    </filter>
    <filter-mapping>
        <filter-name>DruidWebStatFilter</filter-name>
        <url-pattern>/*</url-pattern>
    </filter-mapping>
    
    <servlet>
        <servlet-name>DruidStatView</servlet-name>
        <servlet-class>com.alibaba.druid.support.http.StatViewServlet</servlet-class>
    </servlet>
    <servlet-mapping>
        <servlet-name>DruidStatView</servlet-name>
        <url-pattern>/druid/*</url-pattern>
    </servlet-mapping>

5.连接池监控

  启动服务,访问 http://服务IP地址:端口号/项目地址/druid/index.html

原文地址:https://www.cnblogs.com/MIC2016/p/8303705.html