通过prometheus定义拦截器监控业务接口

灰太狼 2022-09-12 14:50 248阅读 0赞

看次文章前首先参考，这样才没有断片的感觉：[参考链接][Link 1]

前几篇我们通过切面、单个处理、全局指标类型等方式监控业务接口，今天我们通过boot拦截器的方式监控业务接口：

1、 启动添加拦截器：

package com.nandao.demo.config;
    
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.stereotype.Component;
    import org.springframework.web.servlet.config.annotation.InterceptorRegistry;
    import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;
    
    /**
     * @author wanghuainan
     * @date 2021/9/24
     */
    @Component
    public class WebConfig implements WebMvcConfigurer {
    
        @Autowired
        private PrometheusMetricsInterceptor prometheusMetricsInterceptor;
    
        /**
         * 添加自定义拦截器
         * @param registry
         */
        public void addInterceptors(InterceptorRegistry registry) {
            registry.addInterceptor(prometheusMetricsInterceptor).addPathPatterns("/**");
        }
    
    }

2、启动时创建拦截器：

package com.nandao.demo.config;
    
    import io.micrometer.core.instrument.Counter;
    import io.prometheus.client.Summary;
    import org.springframework.beans.factory.annotation.Autowired;
    import org.springframework.stereotype.Component;
    import org.springframework.web.servlet.handler.HandlerInterceptorAdapter;
    
    import javax.servlet.http.HttpServletRequest;
    import javax.servlet.http.HttpServletResponse;
    import java.util.Date;
    
    /**
     * @author wanghuainan
     * @date 2021/9/24
     */
    @Component
    public class PrometheusMetricsInterceptor extends HandlerInterceptorAdapter {
    
        @Autowired
        private Counter requestCounter;
    
        @Autowired
        private Summary requestLatency;
    
        /**
         * 业务调用时的前置接口监控
         * @param request
         * @param response
         * @param handler
         * @return
         * @throws Exception
         */
        @Override
        public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler)
                throws Exception {
            request.setAttribute("startTime", new Date().getTime());
            return true;
        }
    
        /**
         * 业务调用时的后置接口调用
         * @param request
         * @param response
         * @param handler
         * @param ex
         * @throws Exception
         */
        @Override
        public void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler, Exception ex)
                throws Exception {
            String service = request.getRequestURI();
            /*requestCounter.labels(service, request.getMethod(), String.valueOf(response.getStatus()))
                    .inc();*/
            requestCounter.increment();
    
            long duration = new Date().getTime() - (Long)request.getAttribute("startTime");
            requestLatency.labels(service, request.getMethod(), String.valueOf(response.getStatus()))
                    .observe(duration);
        }
    
    }

3、配置的自定义指标：

/**
         * 摘要分析
         * @return
         */
        @Bean
        Summary getSummary(){
            return  Summary.build().labelNames("application","uri", "accessType", "code","msg")
                    .name("pc_cost_summary").help("请求耗时summary")
                    .quantile(0.5, 0.05)
                    .quantile(0.9, 0.01)
                    .register(registry.getPrometheusRegistry());
        }
    
    
        /**
         * 只增不减的计数器
         * @return
         */
        @Bean
        Counter createCounter(){
           return Counter.builder("name")  //名称
                    .baseUnit("unit") //基础单位
                    .description("desc") //描述
                    .tag("tagKey", "tagValue")//标签
                    .tags("a","A","b","B","c","C") //标签list
                    .register(new SimpleMeterRegistry());//绑定的MeterRegistry
        }

到此，服务启动后访问接口是就通过前置和后置来监控接口的请求状态了。

[Link 1]: https://blog.csdn.net/nandao158/article/details/120424167