druid连接池配置

本人使用的是springMVC框架，以下是我的配置：

step1,配置数据源（applicationContext-resource.xml中）：

<bean id="cc_ds" class="com.alibaba.druid.pool.DruidDataSource" init-method="init" destroy-method="close">
<!-- 基本属性 url、user、password -->
<property name="url" value="${url}" />
<property name="username" value="${username}" />
<property name="password" value="${password}" />

<!-- 配置初始化大小、最小、最大 -->
<property name="initialSize" value="${initialSize}" />
<property name="minIdle" value="${minIdle}" />
<property name="maxActive" value="${maxActive}" />

<!-- 配置获取连接等待超时的时间 -->
<property name="maxWait" value="${maxWait}" />

<!-- 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}" />

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

<!-- 打开PSCache，并且指定每个连接上PSCache的大小 -->
<property name="poolPreparedStatements" value="${poolPreparedStatements}" />
<property name="maxPoolPreparedStatementPerConnectionSize" value="${maxPoolPreparedStatementPerConnectionSize}" />

<!-- 配置监控统计拦截的filters -->
<property name="filters" value="${filters}" />
</bean>
其中数据来自config.properties:

#数据库配置
url=jdbc:oracle:thin:@192.168.64.22:1521:ykc
username=gdcall
password=gdcall

initialSize=10
minIdle=10
maxActive=30

maxWait=60000
timeBetweenEvictionRunsMillis=60000
minEvictableIdleTimeMillis=300000

validationQuery=SELECT 1 FROM DUAL
testWhileIdle=true
testOnBorrow=false
testOnReturn=false

poolPreparedStatements=true
maxPoolPreparedStatementPerConnectionSize=20
filters=wall,stat

step2,配置监控：（web.xml）

<!--druid数据库连接池监控配置-->
<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>
<init-param>
<!-- 用户名 -->
<param-name>loginUsername</param-name>
<param-value>admin</param-value>
</init-param>
<init-param>
<!-- 密码 -->
<param-name>loginPassword</param-name>
<param-value>123.abc</param-value>
</init-param>
</servlet>
<servlet-mapping>
<servlet-name>DruidStatView</servlet-name>
<url-pattern>/druid/*</url-pattern>
</servlet-mapping>

step3,

<!-- 配置druid监控spring jdbc -->
<bean id="druid-stat-interceptor" class="com.alibaba.druid.support.spring.stat.DruidStatInterceptor">
</bean>
<bean id="druid-stat-pointcut" class="org.springframework.aop.support.JdkRegexpMethodPointcut" scope="prototype">
<property name="patterns">
<list>
<value>com.speed.*.service.impl.*.*(..)</value>
<value>com.speed.*.dao.impl.*.*(..)</value>
</list>
</property>
</bean>
<aop:config>
<aop:advisor advice-ref="druid-stat-interceptor" pointcut-ref="druid-stat-pointcut" />
</aop:config>

4.导入jar包，druid-1.0.9.jar

5.通过http://ip:port/druid/index.html，输入用户名及密码即可查看监控信息