本文主要是介绍Spring Boot2.X-整合druid+mysql，对大家解决编程问题具有一定的参考价值，需要的程序猿们随着小编来一起学习吧！

目录

1.项目结构

2.代码

3.集成效果

源码下载：https://download.csdn.net/download/adam_zs/28993988https://download.csdn.net/download/adam_zs/28993988

注意：application.yaml文件中配置数据源和druid的参数都要放在spring.datasource下边，要不然启动项目会报错！

1.项目结构

2.代码

spring:
  datasource:
    username: root
    password: 123456
    url: jdbc:mysql://xxx.xxx.xxx.xxx:3306/sakila?serverTimezone=UTC&useUnicode=true@characterEncoding=utf-8
    driver-class-name: com.mysql.cj.jdbc.Driver
    type: com.alibaba.druid.pool.DruidDataSource

    #Spring Boot 默认是不注入这些属性值的，需要自己绑定
    #druid 数据源专有配置
    initialSize: 5
    minIdle: 5
    maxActive: 20
    maxWait: 60000
    timeBetweenEvictionRunsMillis: 60000
    minEvictableIdleTimeMillis: 300000
    validationQuery: SELECT 1 FROM DUAL
    testWhileIdle: true
    testOnBorrow: false
    testOnReturn: false
    poolPreparedStatements: true

    #配置监控统计拦截的filters，stat:监控统计、log4j：日志记录、wall：防御sql注入
    #如果允许时报错  java.lang.ClassNotFoundException: org.apache.log4j.Priority
    #则导入 log4j 依赖即可，Maven 地址： https://mvnrepository.com/artifact/log4j/log4j
    filters: stat,wall,log4j
    maxPoolPreparedStatementPerConnectionSize: 20
    useGlobalDataSourceStat: true
    connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500

    

package com.wangzs.config;

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;

import javax.servlet.Servlet;
import javax.sql.DataSource;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;

@Configuration
public class DruidConfig {
	@ConfigurationProperties(prefix = "spring.datasource")
	@Bean
	public DataSource druidDataSource() {
		return new DruidDataSource();
	}

	@Bean
	public ServletRegistrationBean druidServletRegistrationBean() {
		ServletRegistrationBean<Servlet> servletRegistrationBean = new ServletRegistrationBean<>(new StatViewServlet(),
				"/druid/*");
		Map<String, String> initParams = new HashMap<>();
		initParams.put("loginUsername", "admin");
		initParams.put("loginPassword", "123456");
		// 后台允许谁可以访问
		// initParams.put("allow", "localhost")：表示只有本机可以访问
		// initParams.put("allow", "")：为空或者为null时，表示允许所有访问
		initParams.put("allow", "");
		// deny：Druid 后台拒绝谁访问
		// initParams.put("msb", "192.168.1.20");表示禁止此ip访问

		servletRegistrationBean.setInitParameters(initParams);
		return servletRegistrationBean;
	}

	// 配置 Druid 监控 之 web 监控的 filter
	// WebStatFilter：用于配置Web和Druid数据源之间的管理关联监控统计
	@Bean
	public FilterRegistrationBean webStatFilter() {
		FilterRegistrationBean bean = new FilterRegistrationBean();
		bean.setFilter(new WebStatFilter());

		// exclusions：设置哪些请求进行过滤排除掉，从而不进行统计
		Map<String, String> initParams = new HashMap<>();
		initParams.put("exclusions", "*.js,*.css,/druid/*");
		bean.setInitParameters(initParams);

		// "/*" 表示过滤所有请求
		bean.setUrlPatterns(Arrays.asList("/*"));
		return bean;
	}
}

package com.wangzs;

import javax.sql.DataSource;

import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.jdbc.core.JdbcTemplate;

import com.alibaba.druid.pool.DruidDataSource;

@SpringBootTest
class StudySpringBootJdbcApplicationTests {

	@Autowired
	private DruidDataSource druidDataSource;

	@Autowired
	private JdbcTemplate jdbcTemplate;

	@Test
	public void test_jdbcTemplate() {
		DataSource dataSource = jdbcTemplate.getDataSource();
		System.out.println("==test_jdbcTemplate==" + dataSource);
	}

	@Test
	public void test_druid() {
		System.out.println("==druidDataSource.getInitialSize()==" + druidDataSource.getInitialSize());
		System.out.println("==druidDataSource.getMaxActive()==" + druidDataSource.getMaxActive());
	}
}

3.集成效果

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