Spring boot分布式链路追踪
前言
在分布式开发中,经常会遇到程序出现问题定位困难,处理起来耗时耗力,做无用功
下面就来给出一种方案来解决这一问题
演示项目核心依赖
依赖 | 版本 |
---|---|
Spring Boot | 2.4.4 |
Spring Cloud | 2020.0.2 |
Spring Cloud Alibaba | 2021.1 |
Spring Security OAuth2 | 2.3.6 |
Mybatis Plus | 3.4.2 |
hutool | 5.6.1 |
Avue | 2.6.16 |
一、系统配置文件 日志文件路径配置
#日志配置
logging:
config: classpath:log/logback.xml
二、日志文件 logback.xml 其中重要的标志是“requestId”字眼
<?xml version="1.0" encoding="UTF-8"?>
<!--
~ Copyright (c) 2021 ctsc-cloudx Authors. All Rights Reserved.
~
~ Licensed under the Apache License, Version 2.0 (the "License");
~ you may not use this file except in compliance with the License.
~ You may obtain a copy of the License at
~
~ http://www.apache.org/licenses/LICENSE-2.0
~
~ Unless required by applicable law or agreed to in writing, software
~ distributed under the License is distributed on an "AS IS" BASIS,
~ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
~ See the License for the specific language governing permissions and
~ limitations under the License.
-->
<configuration debug="false" scan="false">
<springProperty scop="context" name="spring.application.name" source="spring.application.name" defaultValue=""/>
<property name="log.path" value="logs/${spring.application.name}"/>
<!-- 彩色日志格式 -->
<property name="CONSOLE_LOG_PATTERN"
value="${CONSOLE_LOG_PATTERN:-%clr(%d{yyyy-MM-dd HH:mm:ss.SSS}){faint} %clr([%X{requestId}]){faint} %clr(${LOG_LEVEL_PATTERN:-%5p}) %clr(${PID:- }){magenta} %clr(---){faint} %clr([%15.15t]){faint} %clr(%-40.40logger{39}){cyan} %clr(:){faint} %m%n${LOG_EXCEPTION_CONVERSION_WORD:-%wEx}}"/>
<!-- 彩色日志依赖的渲染类 -->
<conversionRule conversionWord="clr" converterClass="org.springframework.boot.logging.logback.ColorConverter"/>
<conversionRule conversionWord="wex"
converterClass="org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter"/>
<conversionRule conversionWord="wEx"
converterClass="org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter"/>
<!-- 控制台输出 -->
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
<pattern>${CONSOLE_LOG_PATTERN}</pattern>
<charset>utf8</charset>
</encoder>
</appender>
<!-- 按照每天生成日志文件 -->
<appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy">
<!--日志文件输出的文件名 -->
<FileNamePattern>${log.path}/%d{yyyy-MM, aux}/debug.%d{yyyy-MM-dd}.%i.log</FileNamePattern>
<maxFileSize>10MB</maxFileSize>
<totalSizeCap>1GB</totalSizeCap>
<!--日志文件保留天数 -->
<MaxHistory>30</MaxHistory>
</rollingPolicy>
<encoder class="ch.qos.logback.classic.encoder.PatternLayoutEncoder">
<!--格式化输出:%d表示日期,%thread表示线程名,%-5level:级别从左显示5个字符宽度%msg:日志消息,%n是换行符 -->
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%X{requestId}] [%thread] %-5level %logger{50} - %msg%n</pattern>
<charset>UTF-8</charset>
</encoder>
</appender>
<!-- 异步输出 -->
<appender name="ASYNC-INFO" class="ch.qos.logback.classic.AsyncAppender">
<!-- 不丢失日志.默认的,如果队列的80%已满,则会丢弃TRACT、DEBUG、INFO级别的日志 -->
<discardingThreshold>0</discardingThreshold>
<!-- 更改默认的队列的深度,该值会影响性能.默认值为256 -->
<queueSize>256</queueSize>
<!-- 添加附加的appender,最多只能添加一个 -->
<appender-ref ref="FILE"/>
</appender>
<!-- MyBatis log configure -->
<logger name="com.apache.ibatis" level="INFO"/>
<logger name="org.mybatis.spring" level="INFO"/>
<logger name="java.sql.Connection" level="INFO"/>
<logger name="java.sql.Statement" level="INFO"/>
<logger name="java.sql.PreparedStatement" level="INFO"/>
<!-- 减少部分debug日志 -->
<logger name="druid.sql" level="INFO"/>
<logger name="org.apache.shiro" level="INFO"/>
<logger name="org.mybatis.spring" level="INFO"/>
<logger name="org.springframework" level="INFO"/>
<logger name="org.springframework.context" level="INFO"/>
<logger name="org.springframework.beans" level="INFO"/>
<logger name="com.baomidou.mybatisplus" level="INFO"/>
<logger name="org.apache.ibatis.io" level="INFO"/>
<logger name="org.apache.velocity" level="INFO"/>
<logger name="org.eclipse.jetty" level="INFO"/>
<logger name="io.undertow" level="INFO"/>
<logger name="org.xnio.nio" level="INFO"/>
<logger name="org.thymeleaf" level="INFO"/>
<logger name="springfox.documentation" level="ERROR"/>
<logger name="org.hibernate" level="ERROR"/>
<logger name="com.netflix.loadbalancer" level="INFO"/>
<logger name="com.netflix.hystrix" level="INFO"/>
<logger name="com.netflix.zuul" level="INFO"/>
<logger name="de.codecentric" level="INFO"/>
<!-- cache INFO -->
<logger name="net.sf.ehcache" level="INFO"/>
<logger name="org.apache.commons" level="INFO" />
<logger name="org.springframework.cache" level="INFO"/>
<!-- cloud -->
<logger name="org.apache.http" level="INFO"/>
<logger name="com.netflix.discovery" level="INFO"/>
<logger name="com.netflix.eureka" level="INFO"/>
<!-- 减少nacos日志 -->
<logger name="com.alibaba.nacos" level="ERROR"/>
<!-- 业务日志 -->
<Logger name="com.cl.frame" level="INFO"/>
<Logger name="com.cl.framecore.version" level="INFO"/>
<!-- 日志输出级别 -->
<root level="INFO">
<appender-ref ref="ASYNC-INFO"/>
<appender-ref ref="STDOUT"/>
</root>
</configuration>
三、配置全局拦截器 RequestIdTraceInterceptor.java 拦截交互请求带有 “requestId” 字眼的值
package com.xxx.interceptor;
import cn.hutool.core.util.IdUtil;
import lombok.extern.slf4j.Slf4j;
import org.slf4j.MDC;
import org.springframework.stereotype.Component;
import org.springframework.web.servlet.HandlerInterceptor;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
/**
* 链路追踪
*/
@Slf4j
@Component
public class RequestIdTraceInterceptor implements HandlerInterceptor {
public static final String REQUEST_ID_KEY = "requestId";
@Override
public boolean preHandle(HttpServletRequest request, HttpServletResponse response, Object handler) {
MDC.put(REQUEST_ID_KEY, getRequestId(request));
return true;
}
@Override
public void afterCompletion(HttpServletRequest request, HttpServletResponse response, Object handler, Exception ex) {
//把requestId添加到响应头,以便其它应用使用
response.addHeader(REQUEST_ID_KEY, MDC.get(REQUEST_ID_KEY));
//请求完成,从MDC中移除requestId
MDC.remove(REQUEST_ID_KEY);
}
public static String getRequestId(HttpServletRequest request) {
String requestId;
String parameterRequestId = request.getParameter(REQUEST_ID_KEY);
String headerRequestId = request.getHeader(REQUEST_ID_KEY);
// 根据请求参数或请求头判断是否有“request-id”,有则使用,无则创建
if (parameterRequestId == null && headerRequestId == null) {
log.debug("no request-id in request parameter or header");
requestId = IdUtil.simpleUUID();
} else {
requestId = parameterRequestId != null ? parameterRequestId : headerRequestId;
}
return requestId;
}
}
四、实际使用
String requestId= UuidUtils.generateUuid();
//hutool带的线程池方法 可不用
ThreadUtil.execAsync(() -> {
//添加唯一字眼
MDC.put(RequestIdTraceInterceptor.REQUEST_ID_KEY, requestId);
try {
//业务代码
} catch (Exception e) {
log.info("异常={}", e);
}
//请求完成,从MDC中移除requestId
MDC.remove(RequestIdTraceInterceptor.REQUEST_ID_KEY);
});
五、效果展示 MDC.put下方所有在内的完整日志链路都会出现 如【2f61b36c-2eaa-4701-aafe-648eb43e0c40】字眼,在查询时直接搜索即可
2022-12-12 11:02:56.915 [2f61b36c-2eaa-4701-aafe-648eb43e0c40] [pool-2-thread-1] INFO xxx - 上报异常={}