阿里巴巴Druid连接池配置

xiaoxiao2021-02-28  107

Druid 是阿里巴巴的开源数据库连接池技术,相比dbcp、c3p0更优秀,具有密码加密、sql连接监控功能,无论在性能还是稳定性上表现都十分出色。

一、加入jar文件

maven仓库地址:http://central.maven.org/maven2/com/alibaba/druid/ jar包下载地址:http://central.maven.org/maven2/com/alibaba/druid/1.1.2/druid-1.1.2.jar

二、spring.xml配置:

在context.hibernate1.xml中进行配置,具体配置如下:

<context:property-placeholder location="classpath:jdbc.properties"/> <bean id="dataSource" class="com.alibaba.druid.pool.DruidDataSource" init-method="init" destroy-method="close"> <property name="driverClassName" value="${oracle.driver}" /> <property name="url" value="${oracle.url}" /> <property name="username" value="${oracle.username}" /> <property name="password" value="${oracle.password}" /> <property name="initialSize" value="${druid.initialSize}" /> <property name="maxActive" value="${druid.maxActive}" /> <property name="maxIdle" value="${druid.maxIdle}" /> <property name="minIdle" value="${druid.minIdle}" /> <property name="maxWait" value="${druid.maxWait}" /> <property name="removeAbandoned" value="${druid.removeAbandoned}" /> <property name="removeAbandonedTimeout" value="${druid.removeAbandonedTimeout}" /> <property name="timeBetweenEvictionRunsMillis" value="${druid.timeBetweenEvictionRunsMillis}" /> <property name="minEvictableIdleTimeMillis" value="${druid.minEvictableIdleTimeMillis}" /> <property name="validationQuery" value="${druid.validationQuery}" /> <property name="testWhileIdle" value="${druid.testWhileIdle}" /> <property name="testOnBorrow" value="${druid.testOnBorrow}" /> <property name="testOnReturn" value="${druid.testOnReturn}" /> <property name="poolPreparedStatements" value="${druid.poolPreparedStatements}" /> <property name="maxPoolPreparedStatementPerConnectionSize" value="${druid.maxPoolPreparedStatementPerConnectionSize}" /> <!--属性类型是字符串,通过别名的方式配置扩展插件,常用的插件有: 监控统计用的filter:stat 日志用的filter:log4j 防御SQL注入的filter:wall --> <!--<property name="filters" value="${druid.filters}" /> --> <!-- 解密密码必须要配置的项 config, stat启用监控过滤器--> <property name="filters" value="config,stat" /> <property name="connectionProperties" value="config.decrypt=true;config.decrypt.key=${oracle.publickey}" /> </bean>

web.xml 中配置sql监控

<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>

jdbc.properties

<!-- 数据库基本信息配置 --> oracle.driver = oracle.jdbc.driver.OracleDriver oracle.url = jdbc:oracle:thin:@localhost:1521:makecardcl oracle.username = MakeCard_CL oracle.password = ZWV95JNDIhKl90iz1hy0uc+n0Fav0LO/U/36PkO4AuXMnuz+MiXmkYDqeICk3ONeTeEDe/BctZ+pVwnB0sK51A== oracle.publickey = MFwwDQYJKoZIhvcNAQEBBQADSwAwSAJBAIQdIhCTaX4fSqZaKcaGDODShQ8x832eLgM9IWQPlCxYSxaSwhsy/mKtq8bLuodVBGrDLSWLLbAdb5PX/ShyBaECAwEAAQ== <!-- 初始化连接数量 --> druid.initialSize = 3 <!-- 最大并发连接数 --> druid.maxActive = 10 <!-- 最大空闲连接数 --> druid.maxIdle=5 <!-- 最小空闲连接数 --> druid.minIdle = 2 <!-- 配置获取连接等待超时的时间 --> druid.maxWait = 60000 <!-- 超过时间限制是否回收 --> druid.removeAbandoned = true <!-- 超过时间限制多长; --> druid.removeAbandonedTimeout = 180 <!-- 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 --> druid.timeBetweenEvictionRunsMillis = 60000 <!-- 配置一个连接在池中最小生存的时间,单位是毫秒 --> druid.minEvictableIdleTimeMillis = 300000 <!-- 用来检测连接是否有效的sql,要求是一个查询语句--> druid.validationQuery = SELECT 1 FROM DUAL <!-- 申请连接的时候检测 --> druid.testWhileIdle = false <!-- 申请连接时执行validationQuery检测连接是否有效,配置为true会降低性能 --> druid.testOnBorrow = false <!-- 归还连接时执行validationQuery检测连接是否有效,配置为true会降低性能 --> druid.testOnReturn = false <!-- 打开PSCache,并且指定每个连接上PSCache的大小 --> druid.poolPreparedStatements = true druid.maxPoolPreparedStatementPerConnectionSize = 100 filters =stat

使用druid.jar 包生成密码

通过cmd命令,生产publickey ,password

Java -cp druid-1.0.9.jar com.alibaba.druid.filter.config.ConfigTools you_password

加密实现参考链接如下: 加密实现:http://blog.csdn.net/xlgen157387/article/details/51260930

访问内置监控页面

http://IP:Port/druid/index.html

参考地址

官方githup:https://github.com/alibaba/druid 详细参数说明:http://www.cnblogs.com/wuyun-blog/p/5679073.html

转载请注明原文地址: https://www.6miu.com/read-70701.html

最新回复(0)