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README
Apache-2.0

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前言

当我们使用Splunk、ELK等日志工具的时候,我们希望有一个traceId就可以把这个请求关联的所有服务日志都搜索出来,并且可以看到上下游服务名称,以及当前请求经历了几层服务,这样子更加方便我们定位问题。

日志样例:

2022-12-04 17:24:33.015 DEBUG [service-sample,reactor-netty-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1.1.1.1.1.1] 22456 --- [nio-9000-exec-1] c.l.t.servlet.TracerServletInterceptor   : Built logging tracer context: {X-B3-TraceId=3a13f40b0ac24c0bb6b981ffde658ff6, X-B3-SpanName=service-sample, X-B3-SpanId=0.1.1.1.1.1.1, X-B3-Parent-SpanName=reactor-netty-sample}
2022-12-04 17:24:33.028  INFO [service-sample,reactor-netty-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1.1.1.1.1.1] 22456 --- [nio-9000-exec-1] c.l.t.s.service.ServiceSampleController  : Received new request for hello api.
2022-12-04 17:24:33.028  INFO [service-sample,reactor-netty-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1.1.1.1.1.1] 22456 --- [nio-9000-exec-1] c.l.t.s.service.ServiceSampleController  : Request header with [user-agent: ReactorNetty/1.0.25]

[service-sample,webclient-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1.1.1.1.1]

  • service-sample:当前服务名称。
  • webclient-sample:上游服务名称。
  • 3a13f40b0ac24c0bb6b981ffde658ff6:链路ID,即traceId。
  • 0.1.1.1.1.1.1:请求经历的服务层级。
    • 假设是0:表示到达当前位置,没有经历下游服务。
    • 假设是0.1:表示到达当前位置,已经经历了1层下游服务。
    • 假设是0.1.1:表示到达当前位置,已经经历了2层下游服务。
    • 以此类推...

快速使用

logging-tracer-spring-boot-starter也支持SpringBoot3

3.0.0及以上版本的logging-tracer-spring-boot-starter只针对使用SpringBoot3用户,SpringBoot2用户请使用低于3.0.0版本的logging-tracer-spring-boot-starter,两者功能不受影响,均会同步更新!

导入依赖

依赖已发布至Maven中央仓库,可直接引入依赖。

  • Maven:
    <dependency>
      <groupId>com.lzhpo</groupId>
      <artifactId>logging-tracer-spring-boot-starter</artifactId>
      <version>${latest-version}</version>
    </dependency>
  • Gradle:
    implementation 'com.lzhpo:logging-tracer-spring-boot-starter:${latest-version}'

PS:如果不需要定制,直接导入相关依赖按照下面组件说明正常使用即可。

使用示例

在这模拟多链路调用服务,按如下顺序逐层call:

顺序 服务名称 截取的部分trace样例
1 feign-sample [feign-sample,N/A,3a13f40b0ac24c0bb6b981ffde658ff6,0]
2 httpclient-sample [httpclient-sample,feign-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1]
3 okhttp-sample [okhttp-sample,httpclient-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1.1]
4 resttemplate-sample [resttemplate-sample,okhttp-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1.1.1]
5 webclient-sample [webclient-sample,okhttp-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1.1.1.1]
6 reactor-netty-sample [reactor-netty-sample,webclient-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1.1.1.1.1]
7 service-sample [service-sample,reactor-netty-sample,3a13f40b0ac24c0bb6b981ffde658ff6,0.1.1.1.1.1.1]

1.Feign

导入feign依赖将自动生效。

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-openfeign</artifactId>
</dependency>

参考示例:logging-tracer-feign-sample

2.HttpClient

导入httpclient依赖将自动生效。

<dependency>
    <groupId>org.apache.httpcomponents.client5</groupId>
    <artifactId>httpclient5</artifactId>
    <version>${httpclient.version}</version>
</dependency>

和使用HttpClients一样,不同的是在这使用的TracerHttpClients 的Bean,方法和HttpClients一样。

参考示例:logging-tracer-httpclient-sample

3.Okhttp

导入okhttp依赖将自动生效。

<dependency>
    <groupId>com.squareup.okhttp3</groupId>
    <artifactId>okhttp</artifactId>
    <version>${okhttp.version}</version>
</dependency>
  • 之前

    OkHttpClient okHttpClient = new OkHttpClient();
  • 现在:注入OkHttpClient.BuilderBean直接使用,就不是直接new了。

    @Autowired
    private OkHttpClient.Builder okHttpClientBuilder;
    
    // 略...
    OkHttpClient okHttpClient = okHttpClientBuilder.build();

参考示例:logging-tracer-okhttp-sample

4.RestTemplate

直接注入RestTemplateBean使用即可。

参考示例:logging-tracer-resttemplate-sample

5.Webclient

直接注入WebclientBean使用即可。

参考示例:logging-tracer-webclient-sample

6.Reactor-Netty

直接注入HttpClientBean使用即可。

参考示例:logging-tracer-reactor-netty-sample

7.SpringCloud-Gateway

加入了logging-tracer-spring-boot-starter依赖即可,在SpringCloud-Gateway环境中会自动生效。

8.Dubbo

导入dubbo依赖将自动生效。

参考示例:logging-tracer-dubbo-api-sample、logging-tracer-dubbo-consumer-sample、logging-tracer-dubbo-provider-sample

自定义配置

自定义配置文件

自定义日志链路输出格式

logging:
  tracer:
    pattern: '%5p [${spring.application.name:},%X{X-B3-Parent-SpanName},%X{X-B3-TraceId},%X{X-B3-SpanId}]'

当然,你也可以按照以前的方式配置,也是一样生效的,如果两个都配置了,优先使用上面的。

logging:
  pattern:
    level: '%5p [${spring.application.name:},%X{X-B3-Parent-SpanName},%X{X-B3-TraceId},%X{X-B3-SpanId}]'

自定义转发到下游服务的请求头

logging:
  tracer:
    proxy-headers:
      - Authorization
      - User-Id

然后,这些请求头将会自动转发到下游服务,比如,我需要在日志中只显示一个User-Id,就可以这样配置:

logging:
  pattern:
    level: '%5p [%X{User-Id}]'

如果是多个,英文逗号分隔即可。

关闭logging-tracer功能

logging:
  tracer:
    enabled: false

多线程环境下使用

可以参考logging-tracer-resttemplate-sample模块中的RestTemplateSampleController中示例代码。

  1. ThreadPoolTaskExecutor【推荐】:如果是注入ThreadPoolTaskExecutor线程池执行多线程任务的话,则正常使用即可,logging-tracer会自动处理相关逻辑。

    @Autowired
    private ThreadPoolTaskExecutor threadPoolTaskExecutor;
    
    // 略...
    threadPoolTaskExecutor.execute(() -> log.info("[threadPool] Hello, I'm threadPool."));
  2. Thread: 因为logging-tracer依赖的是MDC,所以,如果是使用的Thread,需要手动在子父线程中维持MDC相关上下文。

     Map<String, String> context = MDC.getCopyOfContextMap();
     Thread thread = new Thread(() -> {
       MDC.setContextMap(context);
       log.info("[multiThread] Hello, I'm multiThread.");
     });
     thread.start();
  3. 其它的方式也同理。

自定义业务逻辑

实现接口TracerContextCustomizer,加入到Spring容器中即可。

比如,当你需要添加请求头转发到下游服务的时候,又或者是你需要自定义日志链路输出格式,如果请求头中或当前context中没有此变量,就需要将相关的变量添加到context中。

@Component
public class SampleTracerContextCustomizer implements TracerContextCustomizer {

  @Override
  public void customize(Map<String, String> context) {
    context.put("abc", "123");
    context.put("def", "456");
  }
}

鸣谢

感谢Jetbrains提供的License!

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简介

一款分布式链路追踪插件,支持Feign、HttpClient、OKHttp、RestTemplate、WebClient、Reactor-Netty、SpringCloud-Gateway、Dubbo,支持自定义链路日志风格,支持自定义链路日志逻辑... 展开 收起
Java
Apache-2.0
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