SpringBoot集成Druid配置 SpringBoot集成Druid配置(yaml版本配置文件)详解

 <!-- https://mvnrepository.com/artifact/com.alibaba/druid -->
    <dependency>
      <groupId>com.alibaba</groupId>
      <artifactId>druid</artifactId>
      <version>1.2.3</version>
    </dependency>

    <dependency>
      <groupId>mysql</groupId>
      <artifactId>mysql-connector-java</artifactId>
      <scope>runtime</scope>
    </dependency>
    
<!--配置了日志log4j-->
 		<dependency>
      <groupId>log4j</groupId>
      <artifactId>log4j</artifactId>
      <version>1.2.17</version>
    </dependency>

spring:
 datasource:
  username: 填自己的
  url: jdbc:mysql://localhost:3306/填自己的数据库?useUnicode=true&characterEncoding=UTF-8&useSSL=false
  driver-class-name: com.mysql.cj.jdbc.Driver
  password: "填自己的" #数字注意一定要有""包围 eg:"123456"
  type: com.alibaba.druid.pool.DruidDataSource
  
  # 下面为连接池的补充设置，应用到上面所有数据源中
  # 初始化大小，最小，最大
  initial-size: 5
  min-idle: 5
  max-active: 20
  # 配置获取连接等待超时的时间
  max-wait: 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
  time-between-eviction-runs-millis: 60000
  # 配置一个连接在池中最小生存的时间，单位是毫秒
  min-evictable-idle-time-millis: 300000
  validation-query: SELECT 1 FROM DUAL
  test-while-idle: true
  test-on-borrow: false
  test-on-return: false
  # 打开PSCache，并且指定每个连接上PSCache的大小
  pool-prepared-statements: true
  max-pool-prepared-statement-per-connection-size: 20
  # 配置监控统计拦截的 Filter，去掉后监控界面 SQL 无法统计，wall 用于防火墙  日志 log4j
   filters: stat,wall,log4j  #导入了log4j
  use-global-data-source-stat: true
  # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
  connect-properties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000

package spring.mubei.config;

import com.alibaba.druid.pool.xa.DruidXADataSource;
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.HashMap;

/**
 * @author mubei
 * @date 2020/12/5
 * @description  druid 自定义配置
 */
@Configuration
public class DruidConfigration {


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


  //后台监控:web.xml  ServletRegistrationBean
  //因为SpringBoot内置了 servlet容器  所以没有web.xml 替代方法ServletRegistrationBean
  @Bean
  public ServletRegistrationBean StatViewServlet(){
    ServletRegistrationBean<StatViewServlet> bean = new ServletRegistrationBean<>(new StatViewServlet(), "/druid/*");

    //后台需要有人登录  账号密码配置
    HashMap<String, String> initParameters = new HashMap<>();

    //登录的两个key是固定的
    initParameters.put("loginPassword","020323");
    initParameters.put("loginUsername","mubei");

    //允许谁可以访问
    //空全部人可以访问
    initParameters.put("allow","");
    //禁止某人访问
    initParameters.put("mubei","端口");

    //设置初始化参数
    bean.setInitParameters(initParameters);
    return bean;
  }

  //filter过滤器
  @Bean
  public FilterRegistrationBean b(){
    FilterRegistrationBean bean = new FilterRegistrationBean();
    bean.setFilter(new WebStatFilter());
    //可以过滤哪些请求
    HashMap<String, String> initParameters = new HashMap<>();
    //不过滤
    initParameters.put("exclusion","*.js,*.css,/druid/**");

    bean.setInitParameters(initParameters);
    return bean;
  }


}