Springboot整合Druid

POM

    <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.1.1</version>
    </dependency>
    <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <optional>true</optional>
    </dependency>

yml配置

druid:
  allow:
    ip: 127.0.0.1
  login:
    user_name: root
    password: root

spring:
  datasource:
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://localhost:3306/xdclass?autoReconnect=true&useUnicode=true&characterEncoding=UTF8&useSSL=false
    username: root
    password: cpf553457177
    type: com.alibaba.druid.pool.DruidDataSource
    # 连接池的配置信息
    # 初始化⼤⼩，最⼩等待连接数量，最⼤等待连接数量，最⼤连接数
    initialSize: 1
    minIdle: 1
    maxIdle: 5
    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 FROM DUAL
    testWhileIdle: true
    testOnBorrow: true
    testOnReturn: false
    # 打开PSCache，并且指定每个连接上PSCache的⼤⼩
    poolPreparedStatements: false
    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
    filters: stat,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
    #spring.datasource.useGlobalDataSourceStat=true

Bean配置

package com.fly.coupon_app.config;

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.support.http.StatViewServlet;
import com.alibaba.druid.support.http.WebStatFilter;
import org.springframework.beans.factory.annotation.Value;
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 javax.sql.DataSource;
import java.util.HashMap;
import java.util.Map;


@Configuration
public class DruidConfig {

    @Value("${druid.login.user_name}")
    private String userName;
    @Value("${druid.login.password}")
    private String password;
    /**
     * 必须配置数据源，不然⽆法获取到sql监控，与sql防⽕墙监控
     */
    @Bean(name = "default_databaseSource")
    @ConfigurationProperties(prefix = "spring.datasource")
    public DataSource druidDataSource() {
        return new DruidDataSource();
    }
    @Bean
    public ServletRegistrationBean druidServlet() {
        ServletRegistrationBean servletRegistrationBean = new
                ServletRegistrationBean();
        servletRegistrationBean.setServlet(new StatViewServlet());
        servletRegistrationBean.addUrlMappings("/druid/*");
        Map<String, String> initParameters = new HashMap<>();
        initParameters.put("loginUsername", userName);// ⽤户名
        initParameters.put("loginPassword", password);// 密码
        initParameters.put("resetEnable", "false");// 禁⽤HTML⻚⾯上的“Reset All”功能
        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;
    }

}

访问网址：http://localhost:8091/druid/index.html