后端开发 \ SpringBoot \ SpringBoot学习-(四)SpringBoot配置Druid连接池

SpringBoot学习-(四)SpringBoot配置Druid连接池

总点击48
简介:官方文档:https://github.com/alibaba/druid/tree/master/druid-spring-boot-starter Druid介绍 Druid是一个JDBC组件,druid是阿里开源在github上面的数据库连接池,它包括三部分:

官方文档:https://github.com/alibaba/druid/tree/master/druid-spring-boot-starter

Druid介绍

Druid是一个JDBC组件,druid 是阿里开源在 github 上面的数据库连接池,它包括三部分:


* DruidDriver 代理Driver,能够提供基于Filter-Chain模式的插件体系。


* DruidDataSource 高效可管理的数据库连接池。


* SQLParser 专门解析 sql 语句

Druid 有什么优点?(来源网络)


1. 可以监控数据库访问性能,Druid内置提供了一个功能强大的StatFilter插件,能够详细统计SQL的执行性能,这对于线上分析数据库访问性能有帮助。


2. 替换DBCP和C3P0。Druid提供了一个高效、功能强大、可扩展性好的数据库连接池。


3. 数据库密码加密。直接把数据库密码写在配置文件中,这是不好的行为,容易导致安全问题。DruidDruiver和DruidDataSource都支持PasswordCallback。


4. SQL执行日志,Druid提供了不同的LogFilter,能够支持Common-Logging、Log4j和JdkLog,你可以按需要选择相应的LogFilter,监控你应用的数据库访问情况。


5. 扩展JDBC,如果你要对JDBC层有编程的需求,可以通过Druid提供的Filter-Chain机制,很方便编写JDBC层的扩展插件。


项目地址: https://github.com/alibaba/druid


Druid 问题集(中文文档):https://github.com/alibaba/druid/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98

1.引入依赖pom.xml

<!-- 阿里巴巴druid数据库连接池 -->

<dependency>

<groupId>com.alibaba</groupId>

<artifactId>druid</artifactId>

<version>1.1.3</version>

</dependency>

<!-- mysql驱动 -->

<dependency>

<groupId>mysql</groupId>

<artifactId>mysql-connector-java</artifactId>

<version>5.1.39</version><!--$NO-MVN-MAN-VER$ -->

</dependency>

2.添加配置文件

项目中一般会创建一个jdbc.properties文件来记录数据库的连接信息。

jdbc.properties目录路径:src/main/resources(与application.properties文件同级)

# 驱动配置信息

spring.datasource.type=com.alibaba.druid.pool.DruidDataSource

spring.datasource.url = jdbc:mysql://127.0.0.1:3306/demo

spring.datasource.username = root

spring.datasource.password = 123456

spring.datasource.driverClassName = com.mysql.jdbc.Driver

# 连接池的配置信息

# 初始化大小,最小,最大

spring.datasource.initialSize=5

spring.datasource.minIdle=5

spring.datasource.maxActive=20

# 配置获取连接等待超时的时间

spring.datasource.maxWait=60000

# 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

spring.datasource.timeBetweenEvictionRunsMillis=60000

# 配置一个连接在池中最小生存的时间,单位是毫秒

spring.datasource.minEvictableIdleTimeMillis=300000

spring.datasource.validationQuery=SELECT 1 FROM DUAL

spring.datasource.testWhileIdle=true

spring.datasource.testOnBorrow=false

spring.datasource.testOnReturn=false

# 打开PSCache,并且指定每个连接上PSCache的大小

spring.datasource.poolPreparedStatements=true

spring.datasource.maxPoolPreparedStatementPerConnectionSize=20

# 配置监控统计拦截的filters,去掉后监控界面sql无法统计,'wall'用于防火墙

spring.datasource.filters=stat,wall,log4j

# 通过connectProperties属性来打开mergeSql功能;慢SQL记录

spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000

3.配置Druid数据源

下面就是datasource的配置,这样不写进代码有个好处,那就是如果是给客户用的程序,可以很方便的修改数据库配置,而不用重新编译。

@Configuration

@PropertySource(value = { "classpath:jdbc.properties" })

public class DruidDBConfig {

private Logger logger = Logger.getLogger(DruidDBConfig.class);

@Value("${spring.datasource.url}")

private String dbUrl;

@Value("${spring.datasource.username}")

private String username;

@Value("${spring.datasource.password}")

private String password;

@Value("${spring.datasource.driverClassName}")

private String driverClassName;

@Value("${spring.datasource.initialSize}")

private int initialSize;

@Value("${spring.datasource.minIdle}")

private int minIdle;

@Value("${spring.datasource.maxActive}")

private int maxActive;

@Value("${spring.datasource.maxWait}")

private int maxWait;

@Value("${spring.datasource.timeBetweenEvictionRunsMillis}")

private int timeBetweenEvictionRunsMillis;

@Value("${spring.datasource.minEvictableIdleTimeMillis}")

private int minEvictableIdleTimeMillis;

@Value("${spring.datasource.validationQuery}")

private String validationQuery;

@Value("${spring.datasource.testWhileIdle}")

private boolean testWhileIdle;

@Value("${spring.datasource.testOnBorrow}")

private boolean testOnBorrow;

@Value("${spring.datasource.testOnReturn}")

private boolean testOnReturn;

@Value("${spring.datasource.poolPreparedStatements}")

private boolean poolPreparedStatements;

@Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}")

private int maxPoolPreparedStatementPerConnectionSize;

@Value("${spring.datasource.filters}")

private String filters;

@Value("{spring.datasource.connectionProperties}")

private String connectionProperties;

@Bean //声明其为Bean实例

@Primary //在同样的DataSource中,首先使用被标注的DataSource

public DataSource dataSource() {

DruidDataSource datasource = new DruidDataSource();

datasource.setUrl(this.dbUrl);

datasource.setUsername(username);

datasource.setPassword(password);

datasource.setDriverClassName(driverClassName);

//configuration

datasource.setInitialSize(initialSize);

datasource.setMinIdle(minIdle);

datasource.setMaxActive(maxActive);

datasource.setMaxWait(maxWait);

datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);

datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);

datasource.setValidationQuery(validationQuery);

datasource.setTestWhileIdle(testWhileIdle);

datasource.setTestOnBorrow(testOnBorrow);

datasource.setTestOnReturn(testOnReturn);

datasource.setPoolPreparedStatements(poolPreparedStatements);

datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);

try {

datasource.setFilters(filters);

} catch (SQLException e) {

logger.log(Level.ERROR,"druid configuration initialization filter : {0}",e);

}

datasource.setConnectionProperties(connectionProperties);

return datasource;

}

}

之后就可以通过@AutoWried注解得到数据源(druidDataSource)了。

4.打开Druid的监控统计功能

Druid的监控统计功能是通过filter-chain扩展实现,如果你要打开监控统计功能,需要配置StatFilter,相关代码如下。

第一种配置方式:

@Configuration

public class DruidConfiguration {

private static final Logger log = LoggerFactory.getLogger(DruidConfiguration.class);

@Bean

public ServletRegistrationBean druidServlet() {

log.info("init Druid Servlet Configuration ");

ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean();

servletRegistrationBean.setServlet(new StatViewServlet());

servletRegistrationBean.addUrlMappings("/druid/*");

Map<String,String> initParameters = new HashMap<String,String>();

initParameters.put("loginUsername","admin");// 用户名

initParameters.put("loginPassword","admin");// 密码

initParameters.put("resetEnable","false");// 禁用HTML页面上的“Reset All”功能

initParameters.put("allow",""); // IP白名单 (没有配置或者为空,则允许所有访问)

//initParameters.put("deny","192.168.20.38");// IP黑名单 (存在共同时,deny优先于allow)

servletRegistrationBean.setInitParameters(initParameters);

return servletRegistrationBean;

}

@Bean

public FilterRegistrationBean filterRegistrationBean() {

FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean();

filterRegistrationBean.setFilter(new WebStatFilter());

filterRegistrationBean.addUrlPatterns("/*");

filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");

return filterRegistrationBean;

}

}

第二种配置方式:

Druid的拦截器:

import javax.servlet.annotation.WebFilter;

import javax.servlet.annotation.WebInitParam;

import com.alibaba.druid.support.http.WebStatFilter;

@WebFilter(filterName="druidWebStatFilter",urlPatterns="/*",

initParams={

@WebInitParam(name="exclusions",value="*.js,*.bmp,/druid/*")//忽略资源

}

)

public class DruidStatFilter extends WebStatFilter {

}

Druid的Servlet:

import javax.servlet.annotation.WebInitParam;

import javax.servlet.annotation.WebServlet;

import com.alibaba.druid.support.http.StatViewServlet;

@WebServlet(urlPatterns="/druid/*",

initParams={

@WebInitParam(name="allow",value="127.0.0.1,192.168.163.1"),// IP白名单(没有配置或者为空,则允许所有访问)

@WebInitParam(name="deny",value="192.168.1.73"),// IP黑名单 (存在共同时,deny优先于allow)

@WebInitParam(name="loginUsername",value="admin"),// 用户名

@WebInitParam(name="loginPassword",value="123456"),// 密码

@WebInitParam(name="resetEnable",value="false")// 禁用HTML页面上的“Reset All”功能

})

public class DruidStatViewServlet extends StatViewServlet {

private static final long serialVersionUID = -2688872071445249539L;

}

这两个类相当于在web.xml中声明了一个servlet, 等价于如下的配置信息(web.xml):

Druid的Servlet:

<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>

Druid的拦截器:

<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,/druid/*</param-value>

</init-param>

</filter>

<filter-mapping>

<filter-name>DruidWebStatFilter</filter-name>

<url-pattern>/*</url-pattern>

</filter-mapping>

打开监控页面:


http://localhost:8080/druid/index.html

意见反馈 常见问题 官方微信 返回顶部