springboot项目中实现访问druid内置监控页面

1、首先加入druid依赖

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<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid-spring-boot-starter</artifactId>
    <version>1.1.9</version>
</dependency>

2、设置配置文件：

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# 数据库访问配置
# 主数据源，默认的
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://localhost:3306/test
spring.datasource.username=root
spring.datasource.password=123456
  
# 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
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
# 合并多个DruidDataSource的监控数据
#spring.datasource.useGlobalDataSourceStat=true

3、启动项目后

访问页面http://127.0.0.1:8001/druid/sql.html，就可以访问监控页面了，其中ip和端口号为项目的ip和端口号。

页面效果如下：

4、设置druid访问页面的用户名和密码

只需要在springboot启动类中加入@bean配置即可：

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@Bean
public ServletRegistrationBean<StatViewServlet> druidStatViewServlet() {
    ServletRegistrationBean<StatViewServlet> registrationBean = new ServletRegistrationBean<>(new StatViewServlet(),  "/druid/*");
    registrationBean.addInitParameter("allow", "127.0.0.1");// IP白名单 (没有配置或者为空，则允许所有访问)
    registrationBean.addInitParameter("deny", "");// IP黑名单 (存在共同时，deny优先于allow)
    registrationBean.addInitParameter("loginUsername", "root");
    registrationBean.addInitParameter("loginPassword", "1234");
    registrationBean.addInitParameter("resetEnable", "false");
    return registrationBean;
}

druid监控页面的配置和使用

Druid运用背景

Druid是由阿里巴巴团队开发的，能够提供强大的监控和扩展功能的数据库连接池。github地址

本项目的项目框架为SpringBoot+Mybatis+Security，并将druid到项目中，作为一个辅助工具帮助提升项目的性能。

Druid配置

1、设置项目依赖

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<dependency>
 <groupId>com.alibaba</groupId>
     <artifactId>druid-spring-boot-starter</artifactId>
     <version>1.1.10</version>
 </dependency>

2、application.yml中配置Druid数据源，并设置监控参数。YAML文件格式化校验（https://old.qqe2.com/jsontool/yaml.php）

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spring:
    #####DruidDataSource配置#####################
    type: com.alibaba.druid.pool.DruidDataSource
    initialSize: 5
    minIdle: 5
    maxActive: 20
    # 配置获取连接等待超时的时间
    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
    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: false
    testOnReturn: false
    # 打开PSCache，并且指定每个连接上PSCache的大小
    poolPreparedStatements: true
    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,slf4j
    # 通过connectProperties属性来打开mergeSql功能；慢SQL记录
    connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000
    #合并多个DruidDataSource的监控数据
    useGlobalDataSourceStat: true

3、设置druid访问页面的用户名和密码，只需要在springboot启动类中加入@bean配置即可:

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/**                                                                                                           
 * @description 注册一个StatViewServlet,进行druid监控页面配置                                                              
 * @return servlet registration bean                                                                          
 */                                                                                                           
@Bean                                                                                                         
public ServletRegistrationBean druidStatViewServlet() {
   //先配置管理后台的servLet，访问的入口为/druid/                                                      
    ServletRegistrationBean servletRegistrationBean = new ServletRegistrationBean(                            
           new StatViewServlet(), "/druid/*");
    // IP白名单 (没有配置或者为空，则允许所有访问)
    servletRegistrationBean.addInitParameter("allow", "127.0.0.1");
    // IP黑名单 (存在共同时，deny优先于allow)                                                     
 servletRegistrationBean.addInitParameter("deny", "");          
    servletRegistrationBean.addInitParameter("loginUsername", "admin");                                       
    servletRegistrationBean.addInitParameter("loginPassword", "sdb3309");                                     
    servletRegistrationBean.addInitParameter("resetEnable", "false");                                         
    return servletRegistrationBean;                                                                           
}

4、注册一个过滤器，允许Druid监控页面的正常浏览

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/**                                                                                                                     
 * @description 注册一个过滤器，允许页面正常浏览                                                                  
 * @return filter registration bean                                                                                     
 */                                                                                                                     
@Bean                                                                                                                   
public FilterRegistrationBean druidStatFilter(){                                                                        
    FilterRegistrationBean filterRegistrationBean = new FilterRegistrationBean(                                         
            new WebStatFilter());                                                                                       
    // 添加过滤规则.                                                                                                          
    filterRegistrationBean.addUrlPatterns("/*");                                                                        
    // 添加不需要忽略的格式信息.                                                                                                    
    filterRegistrationBean.addInitParameter("exclusions", "*.js,*.gif,*.jpg,*.png,*.css,*.ico,/druid/*");               
    return filterRegistrationBean;                                                                                      
}

5、启动项目后，访问页面http://ip:port/druid/sql.html（其中ip和端口号为项目的ip和端口号），使用配置的用户名与密码登录，就可以访问监控页面了。

Druid详细配置

开启慢sql监控

SQL监控中，有一项关于sql执行最慢执行时间的统计，但是只有一个值，就是一条sql语句最慢的执行时间记录，其他执行时间是看不到的，只能通过总时间来进行粗略的估计；一旦项目重启，这些记录就全部消失，因此需要制定相应的日志输出策略。

具体步骤：

1、配置慢sql及日志拦截器

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/**                         
 * @description 配置慢sql拦截器       
 * @return                  
 */                         
 @Bean(name = "statFilter")                                                
 public StatFilter statFilter(){                                           
     StatFilter statFilter = new StatFilter();                             
     //慢sql时间设置,即执行时间大于200毫秒的都是慢sql                                        
     statFilter.setSlowSqlMillis(30);                                      
     statFilter.setLogSlowSql(true);
     statFilter.setMergeSql(true);                                       
     return statFilter;                                                    
 }                                                                         
  /**                         
 * @description 配置日志拦截器       
 * @return                  
 */                                                                        
 @Bean(name = "logFilter")                                                 
 public Slf4jLogFilter logFilter(){                                        
     Slf4jLogFilter slf4jLogFilter = new Slf4jLogFilter();                 
     slf4jLogFilter.setDataSourceLogEnabled(true);                         
     slf4jLogFilter.setStatementExecutableSqlLogEnable(true);              
     return slf4jLogFilter;                                                
 }

2、修改application.yml，增加慢sql日志的输出策略

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logging:
  pattern: #配置日志格式 %d：日期 , %msg：日志信息 ，%n换行
   console: "%d - %msg%n" #设置控制台打印格式
  file: "%d{yyyy/MM/dd-HH:mm} %-5level %logger- %msg%n"
level:
 root: INFO
    org:
      springframework:
      security: ERROR
      web: ERROR
      hhu.yu: INFO
file:
 name: YU.log
    max-history: 30

3、修改数据源配置，设置慢sql拦截器和sql拦截器

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@Bean                                                                   
 @Primary                     
 @Qualifier("mainDataSource")                                            
 @ConfigurationProperties(prefix = "spring.datasource.main")             
 DataSource mainConfig() throws SQLException{                            
     DruidDataSource build = DruidDataSourceBuilder.create().build();    
     List<Filter> filters = new ArrayList<>();                           
     filters.add(statFilter());                                          
     filters.add(logFilter());                                           
     build.setProxyFilters(filters);                                     
     return build;

重启系统后查看druid监控后台，由于设置了慢sql的时间为大于200毫秒，所以执行时间大于200毫秒的都会被红色标注。查看日志文件，可以看到日志文件中存在慢sql记录的数据（包括慢sql以及这条sql语句执行的时间）

开启Spring监控

在监控面板中开启spring监控功能

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@Configuration
@EnableAspectJAutoProxy(proxyTargetClass = true)
public class DruidAspectConfig {
    @Bean
    public DruidStatInterceptor druidStatInterceptor() {
        DruidStatInterceptor dsInterceptor = new DruidStatInterceptor();
        return dsInterceptor;
    }
    @Bean
    @Scope("prototype")
    public JdkRegexpMethodPointcut druidStatPointcut() {
        JdkRegexpMethodPointcut pointcut = new JdkRegexpMethodPointcut();
        pointcut.setPatterns("com.qa.cloud.mapper.*","com.qa.cloud.service.*");
        return pointcut;
    }
    @Bean
    public DefaultPointcutAdvisor druidStatAdvisor(DruidStatInterceptor druidStatInterceptor, JdkRegexpMethodPointcut druidStatPointcut) {
        DefaultPointcutAdvisor defaultPointAdvisor = new DefaultPointcutAdvisor();
        defaultPointAdvisor.setPointcut(druidStatPointcut);
        defaultPointAdvisor.setAdvice(druidStatInterceptor);
        return defaultPointAdvisor;
    }
转自：https://www.jb51.net/article/215301.htm
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原文地址：https://www.cnblogs.com/javalinux/p/15662597.html