SpringBoot项目使用slf4j的MDC日志打点功能

这篇文章主要介绍了SpringBoot项目使用slf4j的MDC日志打点功能，本文通过示例代码给大家介绍非常详细，对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下

• SpringBoot项目使用slf4j的MDC日志打点功能

• 线程mdc打点工具类代码
• 配置logback 输出的日志格式，要输出mdc里定义的traceId
• 配置webMVC使用MDC打点

• 定义MvcTraceInterceptor，来拦截http请求进行mdc打点
• 使用自定义的MvcTraceInterceptor

• 配置ThreadPoolTaskExecutor使用MDC打点
• 配置ApacheHttpClient使用MDC打点
• 测试MDC日志打点效果

SpringBoot项目使用slf4j的MDC日志打点功能

物料准备：

1.自定义1个线程MDC打点工具类

2.配置logback打印MDC打点的traceId

3.配置webMVC使用MDC打点

4.配置ThreadPoolTaskExecutor使用MDC打点

5.配置HttpClient使用MDC打点

6.测试MDC日志打点效果

一、线程mdc打点工具类代码

package cn.ath.knowwikibackend.mdc;
import cn.hutool.core.lang.UUID;
import org.slf4j.MDC;
import java.util.Map;
import java.util.concurrent.Callable;
/**
 * 线程mdc打点工具类
 */
public class ThreadMdcUtil {
    public static void setTRaceIdIfAbsent() {
        if (MDC.get("traceId") == null) {
            MDC.put("traceId", UUID.fastUUID().toString());
        }
    }
    public static <T> Callable<T> wrap(final Callable<T> callable, final Map<String, String> context) {
        return () -> {
            if (context == null) {
                MDC.clear();
            } else {
                MDC.setContextMap(context);
            }
            setTRaceIdIfAbsent();
            try {
                //最终通过 callable.call执行线程任务
                return callable.call();
            } finally {
                MDC.clear();
            }
        };
    }
    public static Runnable wrap(final Runnable runnable,final Map<String,String> context){
        return ()->{
          if (context==null){
              MDC.clear(); //mdc上下文为空 就清掉mdc
          }else {
              MDC.setContextMap(context);  // mdc上下文不为空,要设置上下文为 context
          }
          setTRaceIdIfAbsent(); //设置mdc 记录traceId
          try {
              //最终通过 runnable.run 执行线程任务
              runnable.run();
          }finally {
              MDC.clear();
          }
        };
    }
}

二、配置logback 输出的日志格式，要输出mdc里定义的traceId

logging:
  file:
    path: ${user.home}/.${spring.application.name}/log/
  logback:
    rollingpolicy:
      max-file-size: 15MB
      max-history: 10
  pattern: # 注意这里配置的 [%X{traceId}] 即输出mdc打点的traceId值
    console: "%date  %level [%thread] [%X{traceId}] %logger{10} [%file : %line] %msg%n"
    file: "%date  %level [%thread] [%X{traceId}] %logger{10} [%file : %line] %msg%n"
  level:
    cn.ath.knowwikibackend.rest: info

三、配置webMVC使用MDC打点

a、定义MvcTraceInterceptor，来拦截http请求进行mdc打点

package cn.ath.knowwikibackend.mdc;
import cn.hutool.core.lang.UUID;
import org.slf4j.MDC;
import org.springframework.web.servlet.HandlerInterceptor;
import org.springframework.web.servlet.ModelAndView;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
/**
 * mvc trace拦截器，作用是 实现trace打点
 */
public class MvcTraceInterceptor implements HandlerInterceptor {
    @Override
    public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
        //在请求头里拿一个 traceId ,拿不到就创建1个 traceId
        String traceId = request.getHeader("traceId");
        if (traceId==null){
            traceId = UUID.fastUUID().toString();
        }
        // traceId记录到mdc中
        MDC.put("traceId",traceId);
        return true;
    }
    @Override
    public void postHandle(HttpServletRequest request, HttpServletResponse response, Object handler, ModelAndView modelAndView) throws Exception {
    }
    @Override
    public void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler, Exception ex) throws Exception {
        //1个http请求 后台处理完毕后 ,从mdc中移除 traceId
        MDC.remove("traceId");
    }
}

b、使用自定义的MvcTraceInterceptor

package cn.ath.knowwikibackend.mdc;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.servlet.config.annotation.InterceptorRegistry;
import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;
@Configuration
public class MvcMdcConfig implements WebMvcConfigurer {
    /**
     * 配置spring mvc启用 mvc trace拦截器，实现trace打点
     * @param registry InterceptorRegistry
     */
    @Override
    public void addInterceptors(InterceptorRegistry registry) {
        registry.addInterceptor(new MvcTraceInterceptor())
                .addPathPatterns("/**");
    }
}

四、配置ThreadPoolTaskExecutor使用MDC打点

package cn.ath.knowwikibackend.mdc;
import org.slf4j.MDC;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
import java.io.Serializable;
import java.util.concurrent.*;
/**
 * 异步线程池 的mdc 包装器，作用是 让 async 异步任务 实现trace打点
 */
public class AsyncThreadPoolMdcWrapper extends ThreadPoolTaskExecutor implements Serializable {
    private static final long serialVersionUID = -1530245553055682935L;
    @Override
    public void execute(Runnable task) {
        // Runnable 类型的线程运行时  进行 mdc 打点记录
        super.execute(ThreadMdcUtil.wrap(task, MDC.getCopyOfContextMap()));
    }
    @Override
    public <T> Future<T> submit(Callable<T> task) {
        // Callable 类型的线程运行时  进行 mdc 打点记录
        return super.submit(ThreadMdcUtil.wrap(task,MDC.getCopyOfContextMap()));
    }
    @Override
    public Future<?> submit(Runnable task) {
        //  Runnable 类型且返回Future的 线程运行时  进行 mdc 打点记录
        return super.submit(ThreadMdcUtil.wrap(task,MDC.getCopyOfContextMap()));
    }
}

五、配置ApacheHttpClient使用MDC打点

package cn.ath.knowwikibackend.mdc;
import lombok.extern.slf4j.Slf4j;
import org.apache.http.Header;
import org.apache.http.HttpException;
import org.apache.http.HttpRequest;
import org.apache.http.HttpRequestInterceptor;
import org.apache.http.protocol.HttpContext;
import org.slf4j.MDC;
import org.springframework.stereotype.Component;
import java.io.IOException;
/**
 * 自定义 HttpRequestInterceptor，
 * 这里可以对外发的http请求 追加请求头/请求参数之类的配置
 *
 * 这里 在 Header 里追加上本应用的traceId ,便于全局排查请求日志
 */
@Component
@Slf4j
public class HttpClientTracedInterceptor implements HttpRequestInterceptor {
    @Override
    public void process(HttpRequest httpRequest, HttpContext httpContext) throws HttpException, IOException {
        //从mdc 中取出traceId 然后追加到 外发的http请求头里
        String traceId = MDC.get("traceId");
        if (traceId != null){
            httpRequest.addHeader("traceId",traceId);
        }
        //打印出所有的http请求头
        for (Header header : httpRequest.getAllHeaders()) {
            log.info("req header item---->{}",header);
        }
    }
}

六、测试MDC日志打点效果

修改之前的异步线程池使用AsyncThreadPoolMdcWrapper 替换掉默认的ThreadPoolTaskExecutor

@Configuration
public class AsyncConfig {
     @Bean("asyncCountTestTaskExecutor")
    public AsyncThreadPoolMdcWrapper asyncCountTaskTest(){
        AsyncThreadPoolMdcWrapper executor = new AsyncThreadPoolMdcWrapper();
        //核心线程数5：线程池创建时候初始化的线程数
        executor.setCorePoolSize(5);
        //最大线程数10：线程池最大的线程数，只有在缓冲队列满了之后才会申请超过核心线程数的线程
        executor.setMaxPoolSize(10);
        //缓冲队列100：用来缓冲执行任务的队列
        executor.setQueueCapacity(100);
        //允许线程的空闲时间60秒：当超过了核心线程出之外的线程在空闲时间到达之后会被销毁
        executor.setKeepAliveSeconds(60);
        //线程池名的前缀：设置好了之后可以方便我们定位处理任务所在的线程池
        executor.setThreadNamePrefix("countTestTaskAsync-");
        //线程池满了后新任务由 任务发起者的线程执行
        RejectedExecutionHandler callerRunsPolicy = new ThreadPoolExecutor.CallerRunsPolicy();
        executor.setRejectedExecutionHandler(callerRunsPolicy);
        executor.initialize();
        return executor;
    }
    @Bean("asyncVoidTestTaskExecutor")
    public AsyncThreadPoolMdcWrapper asyncVoidTaskTest(){
        AsyncThreadPoolMdcWrapper executor = new AsyncThreadPoolMdcWrapper();
        //核心线程数5：线程池创建时候初始化的线程数
        executor.setCorePoolSize(5);
        //最大线程数10：线程池最大的线程数，只有在缓冲队列满了之后才会申请超过核心线程数的线程
        executor.setMaxPoolSize(10);
        //缓冲队列100：用来缓冲执行任务的队列
        executor.setQueueCapacity(100);
        //允许线程的空闲时间60秒：当超过了核心线程出之外的线程在空闲时间到达之后会被销毁
        executor.setKeepAliveSeconds(60);
        //线程池名的前缀：设置好了之后可以方便我们定位处理任务所在的线程池
        executor.setThreadNamePrefix("voidTestTaskAsync-");
        //线程池满了后新任务由 任务发起者的线程执行
        RejectedExecutionHandler callerRunsPolicy = new ThreadPoolExecutor.CallerRunsPolicy();
        executor.setRejectedExecutionHandler(callerRunsPolicy);
        executor.initialize();
        return executor;
    }
}

在API接口中测试

@Slf4j
@RestController
@RequestMapping("/third")
public class TestApi {
    @Autowired
    HttpClientTracedInterceptor httpClientTracedInterceptor;
    @Autowired
    private AsyncAllService asyncAllService
    @GetMapping("/t1")
    public String te() throws ExecutionException, InterruptedException, IOException {
        log.trace("trace---test!!!!!");
        log.info("info---test!!!!!");
        log.warn("warn---test!!!!!");
        log.debug("debug---test!!!!!");
        log.error("error---test!!!!!");
        //有返回值的async任务
        Future<Long> longFuture = asyncAllService.testCount1();
        //无返回值的async任务
        asyncAllService.testAsync2();
        //有返回值的async任务,需要future执行后,最后统一get返回值
        Long l605 = longFuture.get();
        log.info("async task res:{}",l605);
        //测试使用apache httpclient 外发1个http请求
        String content = "test.dhrth.xxx.zzzdfg.derferf.sregvreg.regetg.esrtg34gf3";
        String url = "http://10.1.5.212:8008/api/getresult";
        Map<String, String> mapData = new HashMap<String, String>();
        mapData.put("type", "NER_RE");
        mapData.put("text", content);
        Map<String, Object> map = new HashMap<String, Object>();
        map.put("sid", "re");
        map.put("data", mapData);
        String reqStr = JSON.toJSONString(map);
        // 获取httpclient
        CloseableHttpClient httpclient = HttpClients.custom()
                .addInterceptorFirst(httpClientTracedInterceptor)
                .build();
        //创建post请求
        HttpPost httpPost = new HttpPost(url);
        RequestConfig requestConfig = RequestConfig.custom()
                .setSocketTimeout(20*1000)
                .setConnectionRequestTimeout(1000)
                .setConnectTimeout(1000).build();
        httpPost.setConfig(requestConfig);
        StringEntity entity = new StringEntity(reqStr, ContentType.APPLICATION_JSON);
        httpPost.setEntity(entity);
        CloseableHttpResponse response = httpclient.execute(httpPost);
        // 得到响应信息
        int statusCode = response.getStatusLine().getStatusCode();
        log.info("http-res-statusCode:{}",statusCode);
        String respStr = EntityUtils.toString(response.getEntity(), "utf-8");
        log.info("http-resp:{}",respStr);
        return "thirdTestApi测试!";
    }
}    

测试控制台输出的日志效果

2023-06-05 15:45:54,228  INFO [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.s.l.ReqLogAspect [ReqLogAspect.java : 94] 请求URI:/kwb/third/t1

2023-06-05 15:45:54,251  INFO [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.s.l.ReqLogAspect [ReqLogAspect.java : 107] 请求目标类:String cn.ath.knowwikibackend.rest.TestApi.te()

2023-06-05 15:45:54,254  INFO [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.r.TestApi [TestApi.java : 60] info---test!!!!!

2023-06-05 15:45:54,254  WARN [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.r.TestApi [TestApi.java : 61] warn---test!!!!!

2023-06-05 15:45:54,255  ERROR [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.r.TestApi [TestApi.java : 63] error---test!!!!!

2023-06-05 15:45:54,299  INFO [countTestTaskAsync-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.a.b.AsyncAllService [AsyncAllService.java : 35] now:2023-06-05 15:45:54

2023-06-05 15:45:54,299  INFO [voidTestTaskAsync-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.a.b.AsyncAllService [AsyncAllService.java : 52] now:2023-06-05 15:45:54

2023-06-05 15:45:54,300  INFO [countTestTaskAsync-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.a.b.AsyncAllService [AsyncAllService.java : 36] ---exec testCount1------------

2023-06-05 15:45:54,300  INFO [voidTestTaskAsync-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.a.b.AsyncAllService [AsyncAllService.java : 53] ---exec testAsync2------------

2023-06-05 15:45:54,300  INFO [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.r.TestApi [TestApi.java : 73] async task res:8

2023-06-05 15:45:54,352  INFO [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.m.HttpClientTracedInterceptor [HttpClientTracedInterceptor.java : 36] req header item---->traceId: 8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4

2023-06-05 15:45:55,429  INFO [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.r.TestApi [TestApi.java : 109] http-res-statusCode:200

2023-06-05 15:45:55,431  INFO [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.r.TestApi [TestApi.java : 121] http-resp:{

    "status": "OK",

    "message": "提取成功",

    "result": {}

}

2023-06-05 15:45:55,432  INFO [http-nio-8080-exec-1] [8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4] c.a.k.s.l.ReqLogAspect [ReqLogAspect.java : 125] Around请求耗时:1227ms

从日志中可以看到，1次浏览器请求进到app后，从切面就开始mdc打点，之后的异步线程操作 和 外发http操作 的log日志中都显示出了本次浏览器请求对应的后台日志的打点traceId值为 8e5e137d-1bb0-49bc-b7da-c8b9f6568ef4

到此这篇关于SpringBoot项目使用slf4j的MDC日志打点功能的文章就介绍到这了。