阿里数据库连接池Druid超级大汇总—

这里不对连接池展开来讲解，具体可看相关博文，只说如何快速使用

一、添加依赖

        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>druid</artifactId>
            <version>1.1.0</version>
        </dependency>

二、编写配置文件——application.yml

server:
   port: 8091
druid:
  allow:
     ip: 8.142.19.202
  login:
     user_name: root
     password: root
spring:
  datasource:
    driver-class-name: com.mysql.jdbc.Driver
    url: jdbc:mysql://8.142.19.202:3306/shop?autoReconnect=true&useUnicode=true&characterEncoding=UTF-8&useSSL=false
    username: root
    password: mima
    type: com.alibaba.druid.pool.DruidDataSource
    initial-size: 1
    min-idle: 1
    max-idle: 5
    max-wait-millis: 60000
    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
    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

配置类

package com.xdclass.couponapp.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;


    @Bean(name = "default_datadatasource")
    @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页面上的“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;
    }

}

本文作者为DBC，转载请注明。

MySQL