springboot基于过滤器实现接口请求耗时统计操作

时间:2021-05-19

Spring Boot中实现一个过滤器相当简单,实现javax.servlet.Filter接口即可。

下面以实现一个记录接口访问日志及请求耗时的过滤器为例:

1、定义ApiAccessFilter类,并实现Filter接口

@Slf4j@WebFilter(filterName = "ApiAccessFilter", urlPatterns = "/*")public class ApiAccessFilter implements Filter { @Override public void init(FilterConfig filterConfig) { } @Override public void doFilter(ServletRequest servletRequest, ServletResponse servletResponse, FilterChain filterChain) throws IOException, ServletException { HttpServletRequest request = (HttpServletRequest) servletRequest; Long requestId = IdGenUtils.nextIdByMem(); // 请求ID,这个是我业务中的id,大家可自行决定是否需要 long start = System.currentTimeMillis(); // 请求进入时间 log.info("[Api Access] start. id: {}, uri: {}, method: {}, client: {}", requestId, request.getRequestURI(), request.getMethod(), getIP(request)); filterChain.doFilter(servletRequest, servletResponse); log.info("[Api Access] end. id: {}, duration: {}ms", requestId, System.currentTimeMillis() - start); } @Override public void destroy() { } /** * 获取IP地址 * * @param request 请求 * @return request发起客户端的IP地址 */ private String getIP(HttpServletRequest request) { if (request == null) { return "0.0.0.0"; } String Xip = request.getHeader("X-Real-IP"); String XFor = request.getHeader("X-Forwarded-For"); String UNKNOWN_IP = "unknown"; if (StringUtils.isNotEmpty(XFor) && !UNKNOWN_IP.equalsIgnoreCase(XFor)) { //多次反向代理后会有多个ip值,第一个ip才是真实ip int index = XFor.indexOf(","); if (index != -1) { return XFor.substring(0, index); } else { return XFor; } } XFor = Xip; if (StringUtils.isNotEmpty(XFor) && !UNKNOWN_IP.equalsIgnoreCase(XFor)) { return XFor; } if (StringUtils.isBlank(XFor) || UNKNOWN_IP.equalsIgnoreCase(XFor)) { XFor = request.getHeader("Proxy-Client-IP"); } if (StringUtils.isBlank(XFor) || UNKNOWN_IP.equalsIgnoreCase(XFor)) { XFor = request.getHeader("WL-Proxy-Client-IP"); } if (StringUtils.isBlank(XFor) || UNKNOWN_IP.equalsIgnoreCase(XFor)) { XFor = request.getHeader("HTTP_CLIENT_IP"); } if (StringUtils.isBlank(XFor) || UNKNOWN_IP.equalsIgnoreCase(XFor)) { XFor = request.getHeader("HTTP_X_FORWARDED_FOR"); } if (StringUtils.isBlank(XFor) || UNKNOWN_IP.equalsIgnoreCase(XFor)) { XFor = request.getRemoteAddr(); } return XFor; }}

2、启用该过滤器

springboot中两种启用过滤器的方式,第一种在FilterRegistrationBean中注册该Filter,第二种,采用注解的方式启用

个人觉得注册方式比较麻烦,所有本例中使用的是第二种。

在Filter中添加注解@WebFilter(filterName = "ApiAccessFilter", urlPatterns = "/*"),配置了过滤器名和需要过滤的请求地址,/*表示过滤所有请求。然后在启动类上,通过@ServletComponentScan注解,指明该过滤器即可

@SpringBootApplication@ServletComponentScan("com.yclouds.service.demo")public class YCloudsServiceDemoApplication { public static void main(String[] args) { SpringApplication.run(YCloudsServiceDemoApplication.class, args); }}

3、效果展示

发送了两次http请求,每次都会打印日志内容,并且统计了整个请求的耗时情况。

GitHub地址:https://github.com/ye17186/spring-boot-learn

补充知识:spring cloud gateway 之zuul通过filter配置接口请求的时间耗时记录到日志

zuul中的Filter的配置,zuul中提供了三种类型的Filter,preFilter,routeFilter和postFilter,分别对应请求中的不同的阶段,针对同一个请求,有一个RequestContext对象,在三个阶段的Filter中进行共享

假设我们要开发一个统计请求时间的功能,需要在preFilter里边记录开始时间,并将整个开始时间放在RequestContext中,在postFilter里边拿到开始时间,用当前的时间减去开始时间,就是请求执行的时间

定义一个preFilter:

package com.jiaoyiping.springcloud.zuul.filter; import com.netflix.zuul.ZuulFilter;import com.netflix.zuul.context.RequestContext;import com.netflix.zuul.exception.ZuulException;import org.slf4j.Logger;import org.slf4j.LoggerFactory;import org.springframework.cloud.netflix.zuul.filters.support.FilterConstants; /** * Created with Intellij IDEA * * @author: * Mail: * Date: * Time: * To change this template use File | Settings | Editor | File and Code Templates */ public class TimeCostPreFilter extends ZuulFilter { public static final String START_TIME_KEY = "start_time"; private Logger logger = LoggerFactory.getLogger(TimeCostPreFilter.class); @Override public String filterType() { return FilterConstants.PRE_TYPE; } @Override public int filterOrder() { return 0; } /** * 判断是否要拦截的逻辑 * * @return */ @Override public boolean shouldFilter() { return true; } @Override public Object run() throws ZuulException { long startTime = System.currentTimeMillis(); RequestContext.getCurrentContext().set(START_TIME_KEY, startTime); return null; }}

定义以postFilter:

package com.jiaoyiping.springcloud.zuul.filter; import com.netflix.zuul.ZuulFilter;import com.netflix.zuul.context.RequestContext;import com.netflix.zuul.exception.ZuulException;import org.slf4j.Logger;import org.slf4j.LoggerFactory;import org.springframework.cloud.netflix.zuul.filters.support.FilterConstants; /** * Created with Intellij IDEA * * @author: * Mail: * Date: * Time: * To change this template use File | Settings | Editor | File and Code Templates */ public class TimeCostPostFilter extends ZuulFilter { private static final String START_TIME_KE = "start_time"; private Logger logger = LoggerFactory.getLogger(TimeCostPostFilter.class); @Override public String filterType() { return FilterConstants.POST_TYPE; } @Override public int filterOrder() { return 0; } @Override public boolean shouldFilter() { return true; } @Override public Object run() throws ZuulException { long startTime = (long) RequestContext.getCurrentContext().get(START_TIME_KE); logger.info("请求完成,耗时{}秒", (System.currentTimeMillis() - startTime) / 1000); return null; }}

在一个配置类中将这两个Filter注入:

package com.jiaoyiping.springcloud.zuul.config; import com.jiaoyiping.springcloud.zuul.filter.PDSFilter;import com.jiaoyiping.springcloud.zuul.filter.TimeCostPostFilter;import com.jiaoyiping.springcloud.zuul.filter.TimeCostPreFilter;import com.netflix.zuul.ZuulFilter;import org.springframework.context.annotation.Bean;import org.springframework.context.annotation.Configuration; /** * Created with Intellij IDEA * * @author: * Mail: * Date: * Time: * To change this template use File | Settings | Editor | File and Code Templates */@Configurationpublic class FilterConfig { @Bean public ZuulFilter timeCostPreFilter() { return new TimeCostPreFilter(); } @Bean public ZuulFilter timeCostPostFilter() { return new TimeCostPostFilter(); } @Bean public ZuulFilter pdsFilter() { return new PDSFilter(); }}

启动项目,可以发现,zuul网关已经注册到了eureka上:

请求provide对应的地址,发现,zuul可以成功地调用eureka上对应的服务,并将结果正确返回:

以上这篇springboot基于过滤器实现接口请求耗时统计操作就是小编分享给大家的全部内容了,希望能给大家一个参考,也希望大家多多支持。

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