在前面写的一篇文章中,热心网友【地藏Kelvin】评论说在多线程中仍是有可能会乱掉,建议经过MDC打印traceId来个全链路调用跟踪。掘金里个个都是人才,说话又好听,超喜欢在里面。掘金使我进步,热心网友总能提出改进意见java
经过本文将了解到什么是MDC、MDC应用中存在的问题、如何解决存在的问题git
MDC(Mapped Diagnostic Context,映射调试上下文)是 log4j 、logback及log4j2 提供的一种方便在多线程条件下记录日志的功能。MDC 能够当作是一个与当前线程绑定的哈希表,能够往其中添加键值对。MDC 中包含的内容能够被同一线程中执行的代码所访问。当前线程的子线程会继承其父线程中的 MDC 的内容。当须要记录日志时,只须要从 MDC 中获取所需的信息便可。MDC 的内容则由程序在适当的时候保存进去。对于一个 Web 应用来讲,一般是在请求被处理的最开始保存这些数据github
暂时只能想到这一点spring
添加拦截器后端
public class LogInterceptor implements HandlerInterceptor {
@Override
public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
//若是有上层调用就用上层的ID
String traceId = request.getHeader(Constants.TRACE_ID);
if (traceId == null) {
traceId = TraceIdUtil.getTraceId();
}
MDC.put(Constants.TRACE_ID, 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 {
//调用结束后删除
MDC.remove(Constants.TRACE_ID);
}
}
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修改日志格式springboot
<property name="pattern">[TRACEID:%X{traceId}] %d{HH:mm:ss.SSS} %-5level %class{-1}.%M()/%L - %msg%xEx%n</property>
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重点是%X{traceId},traceId和MDC中的键名称一致
简单使用就这么容易,可是在有些状况下traceId将获取不到 多线程
子线程中打印日志丢失traceIdapp
HTTP调用丢失traceIdide
......丢失traceId的状况,来一个再解决一个,毫不提早优化工具
子线程在打印日志的过程当中traceId将丢失,解决方式为重写线程池,对于直接new建立线程的状况不考略【实际应用中应该避免这种用法】,重写线程池无非是对任务进行一次封装
线程池封装类:ThreadPoolExecutorMdcWrapper.java
public class ThreadPoolExecutorMdcWrapper extends ThreadPoolExecutor {
public ThreadPoolExecutorMdcWrapper(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue) {
super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue);
}
public ThreadPoolExecutorMdcWrapper(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue, ThreadFactory threadFactory) {
super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue, threadFactory);
}
public ThreadPoolExecutorMdcWrapper(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue, RejectedExecutionHandler handler) {
super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue, handler);
}
public ThreadPoolExecutorMdcWrapper(int corePoolSize, int maximumPoolSize, long keepAliveTime, TimeUnit unit, BlockingQueue<Runnable> workQueue, ThreadFactory threadFactory, RejectedExecutionHandler handler) {
super(corePoolSize, maximumPoolSize, keepAliveTime, unit, workQueue, threadFactory, handler);
}
@Override
public void execute(Runnable task) {
super.execute(ThreadMdcUtil.wrap(task, MDC.getCopyOfContextMap()));
}
@Override
public <T> Future<T> submit(Runnable task, T result) {
return super.submit(ThreadMdcUtil.wrap(task, MDC.getCopyOfContextMap()), result);
}
@Override
public <T> Future<T> submit(Callable<T> task) {
return super.submit(ThreadMdcUtil.wrap(task, MDC.getCopyOfContextMap()));
}
@Override
public Future<?> submit(Runnable task) {
return super.submit(ThreadMdcUtil.wrap(task, MDC.getCopyOfContextMap()));
}
}
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说明:
线程traceId封装工具类:ThreadMdcUtil.java
public class ThreadMdcUtil {
public static void setTraceIdIfAbsent() {
if (MDC.get(Constants.TRACE_ID) == null) {
MDC.put(Constants.TRACE_ID, TraceIdUtil.getTraceId());
}
}
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 {
return callable.call();
} finally {
MDC.clear();
}
};
}
public static Runnable wrap(final Runnable runnable, final Map<String, String> context) {
return () -> {
if (context == null) {
MDC.clear();
} else {
MDC.setContextMap(context);
}
setTraceIdIfAbsent();
try {
runnable.run();
} finally {
MDC.clear();
}
};
}
}
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说明【以封装Runnable为例】:
代码等同于如下写法,会更直观
public static Runnable wrap(final Runnable runnable, final Map<String, String> context) {
return new Runnable() {
@Override
public void run() {
if (context == null) {
MDC.clear();
} else {
MDC.setContextMap(context);
}
setTraceIdIfAbsent();
try {
runnable.run();
} finally {
MDC.clear();
}
}
};
}
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从新返回的是包装后的Runnable,在该任务执行以前【runnable.run()】先将主线程的Map设置到当前线程中【 即MDC.setContextMap(context)】,这样子线程和主线程MDC对应的Map就是同样的了
在使用HTTP调用第三方服务接口时traceId将丢失,须要对HTTP调用工具进行改造,在发送时在request header中添加traceId,在下层被调用方添加拦截器获取header中的traceId添加到MDC中
HTTP调用有多种方式,比较常见的有HttpClient、OKHttp、RestTemplate,因此只给出这几种HTTP调用的解决方式
HttpClient:
public class HttpClientTraceIdInterceptor implements HttpRequestInterceptor {
@Override
public void process(HttpRequest httpRequest, HttpContext httpContext) throws HttpException, IOException {
String traceId = MDC.get(Constants.TRACE_ID);
//当前线程调用中有traceId,则将该traceId进行透传
if (traceId != null) {
//添加请求体
httpRequest.addHeader(Constants.TRACE_ID, traceId);
}
}
}
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实现HttpRequestInterceptor接口并重写process方法
若是调用线程中含有traceId,则须要将获取到的traceId经过request中的header向下透传下去
为HttpClient添加拦截器
private static CloseableHttpClient httpClient = HttpClientBuilder.create()
.addInterceptorFirst(new HttpClientTraceIdInterceptor())
.build();
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经过addInterceptorFirst方法为HttpClient添加拦截器
OKHttp:
实现OKHttp拦截器
public class OkHttpTraceIdInterceptor implements Interceptor {
@Override
public Response intercept(Chain chain) throws IOException {
String traceId = MDC.get(Constants.TRACE_ID);
Request request = null;
if (traceId != null) {
//添加请求体
request = chain.request().newBuilder().addHeader(Constants.TRACE_ID, traceId).build();
}
Response originResponse = chain.proceed(request);
return originResponse;
}
}
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实现Interceptor拦截器,重写interceptor方法,实现逻辑和HttpClient差很少,若是可以获取到当前线程的traceId则向下透传
为OkHttp添加拦截器
private static OkHttpClient client = new OkHttpClient.Builder()
.addNetworkInterceptor(new OkHttpTraceIdInterceptor())
.build();
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调用addNetworkInterceptor方法添加拦截器
RestTemplate:
实现RestTemplate拦截器
public class RestTemplateTraceIdInterceptor implements ClientHttpRequestInterceptor {
@Override
public ClientHttpResponse intercept(HttpRequest httpRequest, byte[] bytes, ClientHttpRequestExecution clientHttpRequestExecution) throws IOException {
String traceId = MDC.get(Constants.TRACE_ID);
if (traceId != null) {
httpRequest.getHeaders().add(Constants.TRACE_ID, traceId);
}
return clientHttpRequestExecution.execute(httpRequest, bytes);
}
}
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实现ClientHttpRequestInterceptor接口,并重写intercept方法,其他逻辑都是同样的不重复说明
为RestTemplate添加拦截器
restTemplate.setInterceptors(Arrays.asList(new RestTemplateTraceIdInterceptor()));
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调用setInterceptors方法添加拦截器
第三方服务拦截器:
HTTP调用第三方服务接口全流程traceId须要第三方服务配合,第三方服务须要添加拦截器拿到request header中的traceId并添加到MDC中
public class LogInterceptor implements HandlerInterceptor {
@Override
public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception {
//若是有上层调用就用上层的ID
String traceId = request.getHeader(Constants.TRACE_ID);
if (traceId == null) {
traceId = TraceIdUtils.getTraceId();
}
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 {
MDC.remove(Constants.TRACE_ID);
}
}
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说明:
除了须要添加拦截器以外,还须要在日志格式中添加traceId的打印,以下:
<property name="pattern">[TRACEID:%X{traceId}] %d{HH:mm:ss.SSS} %-5level %class{-1}.%M()/%L - %msg%xEx%n</property>
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须要添加%X{traceId}
最后附:项目代码,欢迎fork与star,涨点小星星,卑微乞讨
1.写个日志请求切面,先后端甩锅更方便
2.为何阿里巴巴要禁用Executors建立线程池?
参考文章:
1.在Java项目中使用traceId跟踪请求全流程日志
2.MDC介绍 -- 一种多线程下日志管理实践方式