spring boot 集成 druid

1.引入

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid-spring-boot-starter</artifactId>
    <version>1.1.10</version>
</dependency>
<dependency>
    <groupId>log4j</groupId>
    <artifactId>log4j</artifactId>
    <version>1.2.15</version>
</dependency>

2.设置

spring:
  datasource:
  ##    primary:
    url: jdbc:mysql://127.0.0.1:3306/test?serverTimezone=GMT%2B8&characterEncoding=UTF-8
    username: root
    password: wzaq2018@0702
    type: com.alibaba.druid.pool.DruidDataSource
    # 初始化,最大连接数
    initialSize: 10
    minIdle: 10
    maxActive: 50
    # 获取数据库连接等待的超时时间
    maxWait: 60000
    # 配置多久进行一次检测,检测需要关闭的空闲连接 单位毫秒
    timeBetweenEvictionRunsMillis: 60000
    #配置一个连接池在池中最小生存时间
    minEvictableIdleTimeMillis: 300000
    # 监测连接是否可用,dual是数据库自带的表
    validationQuery: SELECT 'x'
    # 指明连接是否被空闲连接回收器(如果有)进行检验.如果检测失败,则连接将被从池中去除.
    testWhileIdle: true
    # 指明是否在从池中取出连接前进行检验,如果检验失败,则从池中去除连接并尝试取出另一个.
    testOnBorrow: true
    # 指明是否在归还到池中前进行检验
    testOnReturn: false
    # 打开PSCache,并且指定每个连接上PSCache的大小
    poolPreparedStatements: true
    maxPoolPreparedStatementsPerConnectionSize: 20
    # 配置监控统计拦截的filters,去掉后,监控界面的sql无法统计,wall用于防火墙
    filters: stat,wall,log4j
    # 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: true

3.配置类

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
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;

@Configuration
public class DruidConfig {

    @ConfigurationProperties(prefix = "spring.datasource")
    @Bean
    public DruidDataSource getDruidDS(){
        return new DruidDataSource();
    }
    @Bean
    public ServletRegistrationBean druidStatViewServle(){
        ServletRegistrationBean servletRegistrationBean=new ServletRegistrationBean(new StatViewServlet(),"/druid/*");
        servletRegistrationBean.addInitParameter("allow","127.0.0.1");
        servletRegistrationBean.addInitParameter("deny","192.168.1.73");
        servletRegistrationBean.addInitParameter("loginUsername","admin");
        servletRegistrationBean.addInitParameter("loginPassword","321321");
        servletRegistrationBean.addInitParameter("resetEnable","false");
        return servletRegistrationBean;
    }
    @Bean
    public FilterRegistrationBean druidStatFilter(){
        FilterRegistrationBean filterRegistrationBean=new FilterRegistrationBean(new WebStatFilter());
        filterRegistrationBean.addUrlPatterns("/*");
        filterRegistrationBean.addInitParameter("exclusions","*.js,*.gif,*.jpg,*.bmp,*.png,*.css,*.ico,/druid/*");
        return filterRegistrationBean;
    }
}

4.登录http://localhost:8080/druid/

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转载自blog.csdn.net/weixin_43245707/article/details/84934930
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