開發中經常會打印業務日誌,這些日誌在排查問題或跟蹤調用流程時很是有用,不少業務日誌並無考慮排查問題時的便利性,看似都記錄了日誌,一旦出現了線上問題,排查起來特別麻煩,不少時候又不方便讓用戶重現問題,形成解決問題週期長甚至是沒法解決問題;若是日誌記錄的好,能夠根據關鍵字搜索得出一條調用鏈日誌,順着這個日誌鏈條就能夠看出程序的執行全過程了。html
固然,應用、環境、ip、日誌時間、日誌級別、線程、輸入輸出參數…這些都是必要便於排錯的日誌信息就很少說了,重點說下如何記錄跟蹤一次調用流程的日誌記錄方法。git
一種方法是:打印日誌時候指明業務線,好比支付的流程裏,全部步驟業務日誌統一前綴 "支付流程:userId:",那麼排查問題時候就能夠根據關鍵字和userId來快速獲得某個userid在支付流程裏的全部軌跡。github
可是這種方法有以下問題:web
一、全部log統一前綴實行起來不太容易api
二、同一個userid的log可能會很是多,並不能按request來歸類app
三、若是涉及到了公共方法調用(同時被多個業務流程調用),統一前綴很難實施dom
……異步
另外一種方法是給每一個request生成惟一的標識,給打印log的地方埋點這個標識,根據這個標識能夠自動造成log鏈路。分佈式
使用filter(filter使用傳送門)給每一個request生成惟一標識,在log裏帶上這個標識,將一個request的log經過惟一標識串成一串。 ide
@WebFilter(filterName = "myFilter",urlPatterns = "/*") public class LogFilter implements Filter { @Override public void init(FilterConfig filterConfig) throws ServletException { } @Override public void doFilter(ServletRequest request, ServletResponse response, FilterChain chain) throws IOException, ServletException { String replace = UUID.randomUUID().toString().replace("-", ""); LogHolder.setLogId(replace); LogUtil.info("thread:"+Thread.currentThread().getName() + ",uuid : " + replace+",url:"+((HttpServletRequest) request).getRequestURI()); chain.doFilter(request, response); LogHolder.remove(); } @Override public void destroy() { } }
LogUtil:
@Slf4j public class LogUtil { public static void info(String content, Object... args) { log.info(String.format("LogFlowId: %s , %s", LogHolder.getLogId(), content), args); } public static void warn(String content, Object... args) { log.info(String.format("LogFlowId: %s , %s", LogHolder.getLogId(), content), args); } public static void error(String content, Exception ex) { log.error(String.format("LogFlowId: %s , %s", LogHolder.getLogId(), content), ex);
}
}
業務場景:
@RequestMapping("/log") public void writelog() throws InterruptedException { LogUtil.info("request begin"); test(); LogUtil.info("request end"); } private void test() throws InterruptedException { long l = System.currentTimeMillis(); Thread.sleep(1000); LogUtil.info("操做耗時:" + (System.currentTimeMillis() - l) + " ms"); }
輸出日誌以下:
能夠根據任意一步的logFlowId檢索出整個request生命週期內的全部log。
對於通常的狀況均可以實現,可是若是程序裏使用了線程池會不會有線程複用的問題?來驗證一下:
業務代碼修改以下:
@RequestMapping("/log") public void writelog() { LogUtil.info("request begin"); ExecuterServiceUtil.run(() -> test()); LogUtil.info("request end"); } public void test() { long l = System.currentTimeMillis(); try { Thread.sleep(1000); } catch (InterruptedException e) { e.printStackTrace(); } LogUtil.info("操做耗時:" + (System.currentTimeMillis() - l) + " ms"); }
獲取不到設置在ThreadLocal裏的logFlowId了,這是由於線程池從新開闢了子線程,子線程不能訪問主線程設置的logFlowId,可使用 InheritableThreadLocal 來解決問題。
修改LogHolder爲:
public class LogHolder { private LogHolder() { } public static final ThreadLocal<String> LOG_ID = new InheritableThreadLocal<>(); public static String getLogId() { return LOG_ID.get(); } public static void setLogId(String logId) { LOG_ID.set(logId); } public static void remove() { LOG_ID.remove(); } }
再次運行發現logFlowId有值了,可是卻重複了,很明顯是由於線程複用形成的問題。
最終解決辦法:
一、獲取主線程設置的logFlowId
二、執行前設置到子線程裏
三、用完後清除子線程變量
輸出日誌以下所示:
若是是分佈式應用跟蹤,能夠經過header透傳方式,將logFlowId傳入下一個應用裏。
使用前(preHandle)生成並設置log_trace_id,在使用完(afterCompletion)清除log_trace_id
public class LogInterceptor implements HandlerInterceptor { private static final String DEMO_LOG_TRACE_ID = "demo_log_trace_id"; @Override public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) throws Exception { MDC.put(DEMO_LOG_TRACE_ID, UUIdUtil.getUUID()); 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(DEMO_LOG_TRACE_ID); } }
一樣的,若是使用線程池,會有相似的問題。咱們繼承線程池方法,稍做修改
public class ThreadExecutorPoolUtils extends ThreadPoolTaskExecutor { /** * 全部線程都會委託給這個execute方法,在這個方法中咱們把父線程的MDC內容賦值給子線程 * https://logback.qos.ch/manual/mdc.html#managedThreads * * @param runnable */ @Override public void execute(Runnable runnable) { // 獲取父線程MDC中的內容,必須在run方法以前,不然等異步線程執行的時候有可能MDC裏面的值已經被清空了,這個時候就會返回null Map<String, String> context = MDC.getCopyOfContextMap(); super.execute(() -> run(runnable, context)); } @Override public Future<?> submit(Runnable runnable) { // 獲取父線程MDC中的內容,必須在run方法以前,不然等異步線程執行的時候有可能MDC裏面的值已經被清空了,這個時候就會返回null Map<String, String> context = MDC.getCopyOfContextMap(); return super.submit(()->run(runnable, context)); } @Override public <T> Future<T> submit(Callable<T> callable) { // 獲取父線程MDC中的內容,必須在run方法以前,不然等異步線程執行的時候有可能MDC裏面的值已經被清空了,這個時候就會返回null Map<String, String> context = MDC.getCopyOfContextMap(); return super.submit(() -> call(callable, context)); } /** * 子線程委託的執行方法 * * @param runnable {@link Runnable} * @param context 父線程MDC內容 */ private void run(Runnable runnable, Map<String, String> context) { // 將父線程的MDC內容傳給子線程 MDC.setContextMap(context); try { // 執行異步操做 runnable.run(); } finally { // 清空MDC內容 MDC.clear(); } } /** * 子線程委託的執行方法 * * @param callable {@link Callable} * @param context 父線程MDC內容 */ private <T> T call(Callable<T> callable, Map<String, String> context) throws Exception { // 將父線程的MDC內容傳給子線程 MDC.setContextMap(context); try { // 執行異步操做 return callable.call(); } finally { // 清空子線程MDC內容,防止線程複用問題 MDC.clear(); } } }
<pattern>[%d{yyyy-MM-dd HH:mm:ss.SSS}] [%thread] [%level] [%X{demo_log_trace_id}] %logger:%L x:\(%X\) - %msg%n</pattern>
2019-02-02 10:27:14.279 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.279 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.280 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.280 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.280 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.280 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.280 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.281 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.282 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.282 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.282 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.282 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.282 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.255 [INFO][Test-Thread-Pool4]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool4 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.260 [INFO][Test-Thread-Pool2]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool2 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.282 [INFO][Test-Thread-Pool4]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool4 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4 2019-02-02 10:27:14.282 [INFO][Test-Thread-Pool3]:demo.web.api.DemoController [lambda$mutilLog$0:69] [d4676669641a4c6ab94f841d77c2b18e] Test-Thread-Pool3 runs >>>>>, activeAccount:4, corePoolSize:4, maxPoolSize:5, maxPoolSize:Test-Thread-Group, poolSize:4