SpringBoot 整合Druid数据源

1. pom.xml Maven依赖

<dependency>
　　<groupId>com.alibaba</groupId>
   <artifactId>druid</artifactId>
   <version>1.1.20</version>
</dependency>

 

2. application.yml 文件配置

spring:
  datasource:
    type: com.alibaba.druid.pool.DruidDataSource
    driver-class-name: com.mysql.cj.jdbc.Driver
    url: jdbc:mysql://127.0.0.1:3306/user?autoReconnect=true&useUnicode=true&characterEncoding=utf8&serverTimezone=Asia/Shanghai
    username: root
    password: rzx@1218
    druid:
      # 初始化时建立物理连接的个数
      initial-size: 1
      # 最小连接池数量
      min-idle: 1
      # 最大连接池数量
      max-active: 8
      # 获取连接时最大等待时间，单位毫秒
      max-wait: 3000
      # 间隔多久检测需要关闭的空闲连接
      time-between-eviction-runs-millis: 10000
      # 连接保持空闲而不被驱逐的最小时间
      min-evictable-idle-time-millis: 5000
      # 用来检测连接是否有效的sql
      validation-query: select 1
      # 检测连接是否有效的超时时间
      validation-query-timeout: 3000
      test-while-idle: true
      test-on-borrow: false
      test-on-return: false

 

3. 旧版本的Druid监控配置

# 监控配置 启用相应的内置Filter，多个以逗号分隔
spring.datasource.druid.filters=stat, wall

# 配置StatFilter
spring.datasource.druid.filter.stat.db-type=mysql
spring.datasource.druid.filter.stat.log-slow-sql=true
spring.datasource.druid.filter.stat.slow-sql-millis=1000

# 配置WallFilter
spring.datasource.druid.filter.wall.enabled=true

 

4. DruidConfig配置类，新版本可以采用配置文件替代

package com.ruhuanxingyun.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.sql.DataSource;
import java.util.Arrays;
import java.util.HashMap;
import java.util.Map;

/**
 * @description: 阿里数据源配置
 * @author: ruphie
 * @date: Create in 2020/1/11 14:31
 * @company: ruhuanxingyun
 */
@Configuration
public class DruidConfig {

    @ConfigurationProperties(prefix = "spring.datasource")
    @Bean
    public DataSource dataSource() {
        return new DruidDataSource();
    }

    @Bean
    public ServletRegistrationBean servletRegistrationBean() {
        ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
        Map<String, String> map = new HashMap<>();
        map.put("loginUsername", "admin");
        map.put("loginPassword", "123456");
        servletRegistrationBean.setInitParameters(map);

        return servletRegistrationBean;
    }

    @Bean
    public FilterRegistrationBean filterRegistrationBean() {
        FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
        Map<String, String> map = new HashMap<>();
        map.put("exclusions", "*.js,*.css,/druid/*");
        filterRegistrationBean.setInitParameters(map);
        filterRegistrationBean.setUrlPatterns(Arrays.asList("/*"));

        return filterRegistrationBean;
    }

}

 

5. 监控

　　A. Druid监控访问地址：http://服务ip:服务端口/druid/index.html；

 

6. 连接池测试

package com.ruhuanxingyun.dcy.common.mybatis.controller;

import com.alibaba.druid.pool.DruidDataSource;
import com.ruhuanxingyun.dcy.common.tool.model.Result;
import com.ruhuanxingyun.dcy.common.tool.model.ResultBuilder;
import io.swagger.annotations.Api;
import io.swagger.annotations.ApiOperation;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import javax.sql.DataSource;
import java.sql.Connection;

/**
 * @description: 测试 控制层
 * @author: ruphie
 * @date: Create in 2021/3/1 21:55
 * @company: ruhuanxingyun
 */
@RestController
@RequestMapping("/api/1.0/test")
@Slf4j
@Api(tags = "Druid连接池")
public class TestController {

    @Autowired
    private DataSource dataSource;

    @GetMapping("/druidPool")
    @ApiOperation("Druid连接池测试")
    public Result<Void> druidPool() {
        DruidDataSource druidDataSource = (DruidDataSource) dataSource;
        System.out.println(String.format("测试连接前总连接数为：%d, 活跃连接数为：%d, 空闲连接数为：%d", druidDataSource.getConnectCount(), druidDataSource.getActiveCount(), druidDataSource.getPoolingCount()));

        for (int i = 1; i <= 5; i++) {
            new Thread(() -> {
                long id = Thread.currentThread().getId();
                try {
                    Connection connection = dataSource.getConnection();
                    System.out.println(String.format("线程ID%d获取了连接，当前总连接数为：%d，当前创建的总连接数为：%d", id, druidDataSource.getConnectCount(), druidDataSource.getCreateCount()));

                    Thread.sleep(5000);
                    connection.close();
                    System.out.println(String.format("线程ID%d释放了连接，当前总连接数为：%d，当前关闭的总连接数为：%d", id, druidDataSource.getConnectCount(), druidDataSource.getCloseCount()));
                } catch (Exception e) {
                    log.error("获取连接异常", e);
                    System.out.println(String.format("线程ID%d获取连接异常，当前错误的总连接数为：%d", id, druidDataSource.getConnectErrorCount()));
                }
            }).start();
        }

        boolean status = true;
        while (status) {
            try {
                System.out.println(String.format("当前线程池空闲的连接数为：%d", druidDataSource.getPoolingCount()));
                if (druidDataSource.getMinIdle() == druidDataSource.getPoolingCount()) {
                    status = false;
                }
                Thread.sleep(5000);
            } catch (InterruptedException e) {
                log.error("线程休眠异常", e);
            }
        }

        return ResultBuilder.build();
    }

}

 

 

可参考：Druid官网地址

　　       配置详解：https://blog.csdn.net/hj7jay/article/details/51686418

　　      连接池比较：https://blog.csdn.net/fysuccess/article/details/66972554