Springboot+Druid配置

本文最后更新于:2023-03-13, 23:48:50

最近在学习数据库连接池,了解到阿里开发的 druid 非常强大,所以打算拿来练练手, 然而在配置时看了很多博文都配置不好,最后终于找到一篇有用的,原文地址 https://segmentfault.com/a/1190000019741217?utm_source=tag-newest

废话少说,下面开搞:


1、pom

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<dependencies>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>druid-spring-boot-starter</artifactId>
<version>1.1.20</version>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>log4j</groupId>
<artifactId>log4j</artifactId>
<version>1.2.17</version>
</dependency>
</dependencies>

2、application.yml

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spring:
datasource:
username: root #数据库账号密码记得修改为自己的
password: root
url: jdbc:mysql://localhost:3306/databasename?useUnicode=true&characterEncoding=utf-8&useSSL=false&serverTimezone=GMT%2B8
#上面的databasename记得改为自己的
driver-class-name: com.mysql.cj.jdbc.Driver
type: com.alibaba.druid.pool.DruidDataSource
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
filters: stat,wall,log4j #log4j应该可以去掉,上面的依赖也去掉
maxPoolPreparedStatementPerConnectionSize: 20
useGlobalDataSourceStat: true
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500

3、创建一个DruidConfig类

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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;

@Configuration
public class DruidConfig {
@ConfigurationProperties(prefix = "spring.datasource")
@Bean
public DataSource druid(){
return new DruidDataSource();
}
//配置Druid的监控
//1. 配置一个管理后台的servlet
@Bean
public ServletRegistrationBean statViewServlet(){
ServletRegistrationBean bean = new ServletRegistrationBean(new StatViewServlet(),"/druid/*");
Map<String,String> initParams = new HashMap<>();
initParams.put("loginUsername","admin");//账号
initParams.put("loginPassword","12345");//密码
initParams.put("allow","");//默认允许所有
initParams.put("deny","192.168.123.22");//不允许的黑名单ip
bean.setInitParameters(initParams);
return bean;
}
// 2. 配置一个监控的filter
@Bean
public FilterRegistrationBean webStatFilter(){
FilterRegistrationBean bean = new FilterRegistrationBean();
bean.setFilter(new WebStatFilter());
Map<String,String> initParams = new HashMap<>();
initParams.put("exclusions","*.js,*.css,/druid/*");
bean.setInitParameters(initParams);
bean.setUrlPatterns(Arrays.asList("/*"));
return bean;
}
}

4、运行项目,打开网址http://localhost:8080/druid/


5、下面还需要继续整合mybatis来实现对数据库的增删改查操作,请看下一篇文章:Springboot整合Mybatis