SpringBoot 集成数据库连接池Druid

1. maven依赖

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

2. application.properties配置文件

# 数据源类型
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.url=jdbc:mysql://127.0.0.0:3306/user?useUnicode=true&characterEncoding=UTF-8&autoReconnect=true&failOverReadOnly=false&useSSL=false
spring.datasource.username=admin
spring.datasource.password=123456
spring.datasource.driver-class-name=com.mysql.cj.jdbc.Driver
# 最小连接池数量
spring.datasource.minIdle=100
# 最大连接池数量
spring.datasource.maxActive=200
# 初始化时建立物理连接的个数
spring.datasource.initialSize=100
spring.datasource.timeBetweenEvictionRunsMillis=3000
spring.datasource.minEvictableIdleTimeMillis=300000
# 用来检查连接是否有效的sql
spring.datasource.validationQuery=SELECT 'ZTM' FROM DUAL
spring.datasource.validationQueryTimeout=10000
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 获取连接最大等待时间
spring.datasource.maxWait=60000
# 是否缓存preparedStatement
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=200
spring.datasource.maxPoolSize=200
spring.datasource.minPoolSize=100
spring.datasource.borrowConnectionTimeout=60

3. Druid监控

# 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

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;
    }

}

可参考：Druid官网地址

　　     Druid问题：https://github.com/alibaba/druid/wiki/%E5%B8%B8%E8%A7%81%E9%97%AE%E9%A2%98

　　    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