依赖
<!--Druid-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.10</version>
</dependency>
配置
spring:
datasource:
username: rdffdoot
password: dsfsfsdf
url: jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=utf-8&useSSL=true&serverTimezone=UTC
driver-class-name: com.mysql.cj.jdbc.Driver
type: com.alibaba.druid.pool.DruidDataSource
# 下面为连接池的补充设置,应用到上面所有数据源中
# 初始化大小,最小,最大
# druid 配置: https://github.com/alibaba/druid/wiki/
initialSize: 1
minIdle: 1
maxActive: 20
# 配置获取连接等待超时的时间
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
timeBetweenEvictionRunsMillis: 60000
# 配置一个连接在池中最小生存的时间,单位是毫秒
minEvictableIdleTimeMillis: 300000
validationQuery: select 1
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
# 打开PSCache,并且指定每个连接上PSCache的大小
poolPreparedStatements: true
maxPoolPreparedStatementPerConnectionSize: 20
# 配置监控统计拦截的filters,stat用于监控界面,'wall'用于防火墙防御sql注入, slf4j用于druid记录sql日志
filters: stat,slf4j,wall
# 通过connectProperties属性来打开mergeSql功能;慢SQL记录
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
# 合并多个DruidDataSource的监控数据
useGlobalDataSourceStat: false
监控中心
package com.hd.config;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.mybatis.spring.SqlSessionFactoryBean;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.boot.web.servlet.FilterRegistrationBean;
import org.springframework.boot.web.servlet.ServletRegistrationBean;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.context.annotation.Primary;
import org.springframework.core.io.support.PathMatchingResourcePatternResolver;
import org.springframework.dao.annotation.PersistenceExceptionTranslationPostProcessor;
import javax.sql.DataSource;
/**
* druid监控
*/
@Configuration
public class DruidConfiguration {
@Bean
public ServletRegistrationBean statViewServlet() {
ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
//白名单:
servletRegistrationBean.addInitParameter("allow", "127.0.0.1");
//IP黑名单 (存在共同时,deny优先于allow) : 如果满足deny的即提示:Sorry, you are not permitted to view this page.
servletRegistrationBean.addInitParameter("deny", "192.168.1.100");
//登录查看信息的账号密码.
servletRegistrationBean.addInitParameter("loginUsername", "druid");
servletRegistrationBean.addInitParameter("loginPassword", "12345678");
//是否能够重置数据.
servletRegistrationBean.addInitParameter("resetEnable", "false");
return servletRegistrationBean;
}
// @Bean
// public FilterRegistrationBean statFilter() {
// 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;
// }
@Bean
PersistenceExceptionTranslationPostProcessor persistenceExceptionTranslationPostProcessor() {
return new PersistenceExceptionTranslationPostProcessor();
}
//配置数据库的基本链接信息
// @Bean(name = "dataSource")
// @Primary
// @ConfigurationProperties(prefix = "spring.datasource") //可以在application.properties中直接导入
// public DataSource dataSource() {
// return DataSourceBuilder.create().type(com.alibaba.druid.pool.DruidDataSource.class).build();
// }
// @Bean
// public SqlSessionFactoryBean sqlSessionFactory(@Qualifier("dataSource") DataSource dataSource) throws Exception {
// SqlSessionFactoryBean bean = new SqlSessionFactoryBean();
// bean.setDataSource(dataSource);
// PathMatchingResourcePatternResolver resolver = new PathMatchingResourcePatternResolver();
// bean.setMapperLocations(resolver.getResources("classpath:/mappers/*.xml"));
// return bean;
// }
}