SpringBoot整合Druid完成MySQL数据访问，以及配置Druid监控模块整合。

1. 添加Druid依赖

   <!--alibaba druid datasource-->
   <dependency>
       <groupId>com.alibaba</groupId>
       <artifactId>druid</artifactId>
       <version>${alibaba-druid.version}</version>
   </dependency>
   

2. 添加配置

   # DataSource settings
   spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
   spring.datasource.url = jdbc:mysql://localhost:3306/test?useUnicode=true&characterEncoding=UTF8
   spring.datasource.username = root
   spring.datasource.password = root
   spring.datasource.driverClassName = com.mysql.jdbc.Driver
   #连接池的配置信息
   spring.datasource.initialSize=5
   spring.datasource.minIdle=5
   spring.datasource.maxActive=20
   # 配置获取连接等待超时的时间
   spring.datasource.maxWait=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
   spring.datasource.timeBetweenEvictionRunsMillis=60000
   # 配置一个连接在池中最小生存的时间，单位是毫秒
   spring.datasource.minEvictableIdleTimeMillis=300000
   spring.datasource.validationQuery=SELECT 1 FROM DUAL
   spring.datasource.testWhileIdle=true
   spring.datasource.testOnBorrow=false
   spring.datasource.testOnReturn=false
   # 打开PSCache，并且指定每个连接上PSCache的大小
   spring.datasource.poolPreparedStatements=true
   spring.datasource.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
   spring.datasource.filters=stat,wall,log4j
   # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
   spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
   

3. 启动项目，此时，SpringBoot已经把Druid当做dataSource加载到了项目中了

4. 开启Druid监控功能

   开启监控功能，可以在应用运行的过程中，通过监控提供的多维度数据来分析使用数据库的运行情况，从而可以调整程序设计，以便于优化数据库的访问性能。

   @Configuration
   public class DruidConfiguration {
       @Value("${spring.datasource.url}")
       private String dbUrl;
       @Value("${spring.datasource.username}")
       private String username;
       @Value("${spring.datasource.password}")
       private String password;
       @Value("${spring.datasource.driver-class-name}")
       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;
   
       @Bean     //声明其为Bean实例
       @Primary  //在同样的DataSource中，首先使用被标注的DataSource
       public DataSource dataSource() {
           DruidDataSource datasource = new DruidDataSource();
           datasource.setUrl(this.dbUrl);
           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;
       }
   
       @Bean
       public ServletRegistrationBean statViewServle() {
           ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(new StatViewServlet(), "/druid/*");
           // IP白名单
           servletRegistrationBean.addInitParameter("allow", "127.0.0.1");
           // IP黑名单(共同存在时，deny优先于allow)
           servletRegistrationBean.addInitParameter("deny", "192.168.1.100");
           //控制台管理用户
           servletRegistrationBean.addInitParameter("loginUsername", "druid");
           servletRegistrationBean.addInitParameter("loginPassword", "druid");
           //是否能够重置数据
           servletRegistrationBean.addInitParameter("resetEnable", "false");
           return servletRegistrationBean;
       }
   
       @Bean
       public FilterRegistrationBean statFilter() {
           FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(new WebStatFilter());
           //添加过滤规则
           filterRegistrationBean.addUrlPatterns("/*");
           //忽略过滤的格式
           filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");
           return filterRegistrationBean;
       }
   }
   

5. 重启项目,访问 项目链接+/druid/login.html

   登陆页面
   管理页面

6. 相关信息

   https://github.com/alibaba/druid