相對於dbcp、c3p0等連接池，druid性能更優越，提高可視化的sql監控頁面，簡直是目前最好用的數據庫連接池沒有之一。

那麽如何快速集成springboot+druid呢？

1. 導包
   

           <dependency>
               <groupId>com.alibaba</groupId>
               <artifactId>druid</artifactId>
               <version>1.1.9</version>
           </dependency>    

2. 編寫Druid配置文件
   

   package com.xp.pay.gateway.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.web.servlet.FilterRegistrationBean;
    
   import org.springframework.boot.web.servlet.ServletRegistrationBean;
   import org.springframework.context.annotation.Bean;
   import org.springframework.context.annotation.Configuration;
   import org.springframework.context.annotation.Primary;
   
   import javax.sql.DataSource;
   import java.sql.SQLException;
    
   /**
    * Created By xp. on 2019/1/28
    */
   @Configuration
   public class DruidConfiguration {
   
       @Value("${spring.datasource.url}")
       private String url;
   
       @Value("${spring.datasource.username}")
       private String username;
   
       @Value("${spring.datasource.password}")
       private String password;
   
       @Value("${spring.datasource.driverClassName}")
       private String driverClassName;
   
       @Value("${spring.datasource.initialSize}")
       private int initialSize;
   
       @Value("${spring.datasource.minIdle}")
       private int minIdle;
   
       @Value("${spring.datasource.maxActive}")
       private int maxActive;
   
       @Value("${spring.datasource.maxWait}")
       private int maxWait;
   
       @Value("${spring.datasource.timeBetweenEvictionRunsMillis}")
       private int timeBetweenEvictionRunsMillis;
   
       @Value("${spring.datasource.minEvictableIdleTimeMillis}")
       private int minEvictableIdleTimeMillis;
   
       @Value("${spring.datasource.validationQuery}")
       private String validationQuery;
   
       @Value("${spring.datasource.testWhileIdle}")
       private boolean testWhileIdle;
   
       @Value("${spring.datasource.testOnBorrow}")
       private boolean testOnBorrow;
   
       @Value("${spring.datasource.testOnReturn}")
       private boolean testOnReturn;
   
       @Value("${spring.datasource.poolPreparedStatements}")
       private boolean poolPreparedStatements;
   
       @Value("${spring.datasource.maxPoolPreparedStatementPerConnectionSize}")
       private int maxPoolPreparedStatementPerConnectionSize;
   
       @Value("${spring.datasource.filters}")
       private String filters;
   
       @Value("{spring.datasource.connectionProperties}")
       private String connectionProperties;
   
       @Value("${spring.datasource.logSlowSql}")
       private String logSlowSql;
   
       @Bean
       public ServletRegistrationBean druidServlet() {
           ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
           // IP白名單
           servletRegistrationBean.addInitParameter("allow", "192.168.36.1");
           // IP黑名單(共同存在時，deny優先於allow)
           servletRegistrationBean.addInitParameter("deny", "192.168.1.100");
           //控制臺管理用戶
           servletRegistrationBean.addInitParameter("loginUsername", "admin");
           servletRegistrationBean.addInitParameter("loginPassword", "admin");
           //是否能夠重置數據 禁用HTML頁面上的“Reset All”功能
           servletRegistrationBean.addInitParameter("resetEnable", "false");
           servletRegistrationBean.addInitParameter("logSlowSql", logSlowSql);
           return servletRegistrationBean;
       }
   
       @Bean
       public FilterRegistrationBean filterRegistrationBean() {
           FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
           filterRegistrationBean.addUrlPatterns("/*");
           filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
           return filterRegistrationBean;
       }
   
   
           @Bean     //聲明其為Bean實例
           @Primary  //在同樣的DataSource中，首先使用被標註的DataSource
           public DataSource dataSource() {
               DruidDataSource datasource = new DruidDataSource();
               datasource.setUrl(url);
               datasource.setUsername(username);
               datasource.setPassword(password);
               datasource.setDriverClassName(driverClassName);
   
               //configuration
               datasource.setInitialSize(initialSize);
               datasource.setMinIdle(minIdle);
               datasource.setMaxActive(maxActive);
               datasource.setMaxWait(maxWait);
               datasource.setTimeBetweenEvictionRunsMillis(timeBetweenEvictionRunsMillis);
               datasource.setMinEvictableIdleTimeMillis(minEvictableIdleTimeMillis);
               datasource.setValidationQuery(validationQuery);
               datasource.setTestWhileIdle(testWhileIdle);
               datasource.setTestOnBorrow(testOnBorrow);
               datasource.setTestOnReturn(testOnReturn);
               datasource.setPoolPreparedStatements(poolPreparedStatements);
               datasource.setMaxPoolPreparedStatementPerConnectionSize(maxPoolPreparedStatementPerConnectionSize);
               try {
                   datasource.setFilters(filters);
               } catch (SQLException e) {
                   System.err.println("druid configuration initialization filter: " + e);
               }
               datasource.setConnectionProperties(connectionProperties);
               return datasource;
           }
   }

3. 編寫application.yml
   

   spring :
     datasource :
         type: com.alibaba.druid.pool.DruidDataSource
         driverClassName: com.mysql.jdbc.Driver
         driver-class-name: com.mysql.jdbc.Driver
         platform: mysql
         url: jdbc:mysql://127.0.0.1:3306/x_test?useUnicode=true&characterEncoding=utf-8&useSSL=false&zeroDateTimeBehavior=convertToNull
         username: root
         password: yourPassword
         initialSize: 5   #初始化連接大小
         minIdle: 5   #最小連接池數量
         maxActive: 20 #最大連接池數量
         maxWait: 60000 #獲取連接時最大等待時間，單位毫秒
         maxPoolPreparedStatementPerConnectionSize: 20
         timeBetweenEvictionRunsMillis: 60000 #配置間隔多久才進行一次檢測，檢測需要關閉的空閑連接，單位是毫秒
         minEvictableIdleTimeMillis: 300000  #配置一個連接在池中最小生存的時間，單位是毫秒
         validationQuery: SELECT 1 FROM DUAL #測試連接
         testWhileIdle: true  #申請連接的時候檢測，建議配置為true，不影響性能，並且保證安全性
         testOnBorrow: false #獲取連接時執行檢測，建議關閉，影響性能
         testOnReturn: false  #歸還連接時執行檢測，建議關閉，影響性能
         poolPreparedStatements: false #是否開啟PSCache，PSCache對支持遊標的數據庫性能提升巨大,mysql下建議關閉
         filters: stat,wall,log4j2 #配置擴展插件，常用的插件有=>stat:監控統計  log4j:日誌  wall:防禦sql註入
         connectionProperties: ‘druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000‘ #慢SQL記錄
         logSlowSql: true #是否打印sql

   
   
   

4. 訪問http://localhost:8080/druid/login.html
   

springboot集成druid連接池