GitHub地址:https://github.com/alibaba/druid
在spring boot中整合druid有多种方式,今天我们介绍最简单的方式来进行整合。
现在增加druid的maven配置
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid</artifactId>
<version>1.0.24</version>
</dependency>
注意先要设置spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
才能使用druid的链接池
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://127.0.0.1:3306/test
spring.datasource.username=root
spring.datasource.password=123456
# 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
上面是连接池的配置,还有一部分是druid提供的web页面的监控后台,也需要配置
@Configuration
public class DruidConfiguration {
/**
* 注册一个StatViewServlet
* @return
*
*/
@Bean
public ServletRegistrationBean DruidStatViewServle2() {
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
// 添加初始化参数:initParams
// 白名单:
servletRegistrationBean.addInitParameter("allow", "127.0.0.1");
// 登录查看信息的账号密码.
servletRegistrationBean.addInitParameter("loginUsername", "admin");
servletRegistrationBean.addInitParameter("loginPassword", "admin");
// 是否能够重置数据.
servletRegistrationBean.addInitParameter("resetEnable", "false");
return servletRegistrationBean;
}
/**
* 注册一个:filterRegistrationBean
* @return
*
*/
@Bean
public FilterRegistrationBean druidStatFilter2() {
FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
// 添加过滤规则.
filterRegistrationBean.addUrlPatterns("/*");
// 添加不需要忽略的格式信息.
filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
return filterRegistrationBean;
}
}
然后我们启动项目就可以访问后台了。访问地址:http://localhost/druid/login.html
通过我们配置的admin账号和密码就可以登录了。
上面我们是再接再配置文件中配置的,当然我们也可以通过代码的方式创建数据源
@Bean(destroyMethod = "close", initMethod = "init")
public DataSource writeDataSource() {
System.err.println("注入druid!!!");
DruidDataSource dataSource = new DruidDataSource();
dataSource.setUrl(propertyResolver.getProperty("url"));
dataSource.setUsername(propertyResolver.getProperty("username"));// 用户名
dataSource.setPassword(propertyResolver.getProperty("password"));// 密码
dataSource.setDriverClassName(propertyResolver.getProperty("driver-class-name"));
dataSource.setInitialSize(2);
dataSource.setMaxActive(20);
dataSource.setMinIdle(0);
dataSource.setMaxWait(60000);
dataSource.setValidationQuery("SELECT 1");
dataSource.setTestOnBorrow(false);
dataSource.setTestWhileIdle(true);
dataSource.setPoolPreparedStatements(false);
return dataSource;
}