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Posted to commits@servicecomb.apache.org by ni...@apache.org on 2017/12/12 09:18:29 UTC
[32/57] [partial] incubator-servicecomb-website git commit: Generated
the static pages for asf-site
http://git-wip-us.apache.org/repos/asf/incubator-servicecomb-website/blob/08e1b43f/content/cn/docs/tracing-with-servicecomb/index.html
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+ <meta itemprop="headline" content="基于 ServiceComb 和 Zipkin 的分布式调用链追踪">
+ <meta itemprop="description" content="本篇将介绍如何使用 ServiceComb 和 Zipkin 实现分布式调用链追踪">
+ <meta itemprop="datePublished" content="July 17, 2017">
+ <meta itemprop="dateModified" content="July 17, 2017">
+
+ <div class="page__inner-wrap">
+
+
+ <header>
+ <h1 class="page__title" itemprop="headline">基于 ServiceComb 和 Zipkin 的分布式调用链追踪
+</h1>
+
+ <p class="page__meta"><i class="fa fa-clock-o" aria-hidden="true"></i>
+
+
+
+
+ 少于 1 分钟 阅读
+
+</p>
+
+ </header>
+
+
+
+ <section class="page__content" itemprop="text">
+ <p>微服务架构解决了很多单体应用带来的问题，但同时也需要我们付出额外的代价。由于网络的不稳定性带来的请求处理延迟就是代价之一。</p>
+
+<p>在单体应用中，所有模块都在同一个进程中运行，所以并没有模块间互通的问题。但微服务架构中，服务间通过网络沟通，因此我们不得不处理和网络有关的
+问题，例如：延迟、超时、网络分区等。</p>
+
+<p>另外，随着业务的扩展服务增多，我们很难洞察数据如何在蛛网般复杂的服务结构中流转。我们如何才能有效的监控网络延迟并且可视化服务中的数据流转呢？</p>
+
+<h2 id="zipkin">Zipkin</h2>
+<blockquote>
+ <p><a href="http://zipkin.io/">Zipkin</a> 是一个分布式调用链追踪系统。 它能帮助用户收集时序数据用以定位微服务中的延迟问题，它同时管理追踪数据的收集
+和查询。Zipkin 的设计基于 Google <a href="http://research.google.com/pubs/pub36356.html">Dapper paper</a>。[1]</p>
+</blockquote>
+
+<p>ServiceComb 集成了 Zipkin 提供自动调用链追踪能力，如此一来用户只需要专注实现其业务需求。</p>
+
+<h2 id="使用步骤">使用步骤</h2>
+<p>我们将以 <a href="https://github.com/ServiceComb/LinuxCon-Beijing-WorkShop">workshop demo</a> 为例演示如何用 Zipkin 实施调用链追踪。</p>
+
+<h3 id="添加依赖">添加依赖</h3>
+<p>基于 ServiceComb Java Chassis 的微服务只需要添加如下依赖到 pom.xml。</p>
+<div class="language-xml highlighter-rouge"><pre class="highlight"><code> <span class="nt"><dependency></span>
+ <span class="nt"><groupId></span>io.servicecomb<span class="nt"></groupId></span>
+ <span class="nt"><artifactId></span>handler-tracing-zipkin<span class="nt"></artifactId></span>
+ <span class="nt"></dependency></span>
+
+</code></pre>
+</div>
+
+<p>如果微服务是基于 Spring Cloud + Zuul 的 API 网关，例如 workshop demo 中的 manager service ，我们还需要加入如下的额外依赖。</p>
+<div class="language-xml highlighter-rouge"><pre class="highlight"><code> <span class="nt"><dependency></span>
+ <span class="nt"><groupId></span>io.servicecomb<span class="nt"></groupId></span>
+ <span class="nt"><artifactId></span>spring-cloud-zuul-zipkin<span class="nt"></artifactId></span>
+ <span class="nt"></dependency></span>
+</code></pre>
+</div>
+
+<h3 id="配置追踪处理和数据收集">配置追踪处理和数据收集</h3>
+<p>在微服务的 <code class="highlighter-rouge">microservice.yaml</code> 配置文件中，设置追踪处理器和数据收集服务地址。</p>
+<div class="language-yaml highlighter-rouge"><pre class="highlight"><code><span class="s">cse</span><span class="pi">:</span>
+ <span class="s">handler</span><span class="pi">:</span>
+ <span class="s">chain</span><span class="pi">:</span>
+ <span class="s">Consumer</span><span class="pi">:</span>
+ <span class="s">default</span><span class="pi">:</span> <span class="s">tracing-consumer</span>
+ <span class="s">Provider</span><span class="pi">:</span>
+ <span class="s">default</span><span class="pi">:</span> <span class="s">tracing-provider</span>
+
+<span class="s">servicecomb</span><span class="pi">:</span>
+ <span class="s">tracing</span><span class="pi">:</span>
+ <span class="s">collector</span><span class="pi">:</span>
+ <span class="s">address</span><span class="pi">:</span> <span class="s">http://zipkin.servicecomb.io:9411</span>
+</code></pre>
+</div>
+
+<p>就这样，在加了两个配置项，没改动一行代码的情况下，我们启动了基于 Zipkin 和 Java chassis 的分布式调用链追踪的功能。</p>
+
+<p><strong>注意</strong> 如果项目中的其他依赖也引入了 zipkin （例如 Spring Cloud），可能导致 zipkin 版本不一致而运行出错，这时需要在项目 pom 中声明 zipkin
+版本。</p>
+
+<h2 id="快速演示">快速演示</h2>
+<p>在 workshop demo 中启动追踪后，我们接下来在 docker 环境中演示一下调用链追踪功能。</p>
+<ol>
+ <li>
+ <p>在 workshop demo 目录下，使用命令 <code class="highlighter-rouge">mvn package -DskipTests -Pdocker</code> 或 <code class="highlighter-rouge">mvn package -DskipTests -Pdocker -Pdocker-machine</code>
+（如果你使用 <a href="https://www.docker.com/products/docker-toolbox">Docker Toolbox</a>），创建所有服务的 docker 镜像</p>
+ </li>
+ <li>
+ <p>运行 <code class="highlighter-rouge">docker-compose up</code></p>
+ </li>
+ <li>
+ <p>按照下面视频中的操作步骤，给运行在 docker 容器中的服务发送请求</p>
+ </li>
+ <li>
+ <p>用浏览器打开运行在 docker 容器中的 Zipkin 网站，地址应为 docker 容器IP：<code class="highlighter-rouge">http://docker.container.ip:9411</code></p>
+ </li>
+</ol>
+
+<!-- Courtesy of embedresponsively.com //-->
+<div class="responsive-video-container">
+
+ <iframe src="https://player.youku.com/embed/XMjg1NzQ3NzUzNg" frameborder="0" allowfullscreen=""></iframe>
+
+</div>
+
+<p>现在我们应该可以看到 Zipkin 首页上显示的几个被追踪的服务。
+<img src="/assets/images/tracing.1.png" alt="zipkin homepage" class="align-center" /></p>
+
+<p>如果我们选择 manager 并点击 Find Traces 按钮，就能看到一些调用链数据。请别介意服务性能可能不太好，因为我们是在一台2012年产的笔记本上
+运行这么多服务。
+<img src="/assets/images/tracing.2.png" alt="traces of manager service" class="align-center" /></p>
+
+<p>如果点击某一个调用链，我们能看到对应的所有时间跨度信息。
+<img src="/assets/images/tracing.3.png" alt="trace spans of manager service" class="align-center" /></p>
+
+<p>点击某个时间跨度，可以获取更详细的调用时间信息。
+<img src="/assets/images/tracing.4.png" alt="span details of manager service" class="align-center" /></p>
+
+<p>同时我们也可以点击 Dependencies 按钮，查看服务的依赖关系图。
+<img src="/assets/images/tracing.5.png" alt="service dependencies" class="align-center" /></p>
+
+<h2 id="总结">总结</h2>
+<p>从以上的示例可以看出，通过 ServiceComb 实现分布式调用链追踪功能只需简单的两步配置，但我们却基于 Zipkin 展示了强大的功能，如分析服务间
+调用的时间数据以定位网络延迟，并提供可视化界面以洞察服务间的调用链和依赖关系。</p>
+
+<h2 id="参考">参考</h2>
+<ul>
+ <li>[1] <a href="http://zipkin.io/">Zipkin</a></li>
+</ul>
+
+
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+
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+ <h1 class="page__title" itemprop="headline">华为公有云常见问题
+</h1>
+
+ </header>
+
+
+
+ <section class="page__content" itemprop="text">
+ <ul>
+ <li>
+ <p><strong>Q: 在使用华为公有云时，设置镜像的标签只需要和上一次的标签不一样还是要和之前的都不一样？</strong></p>
+
+ <p>A: 由于Docker本身的机制中并没有实现每次都从远端拉取镜像的功能，因此，只要本地中有一个版本的镜像存在而且每次都通过该版本的标签来访问镜像时，读取的镜像则为最开始上传的镜像，后续对该标签镜像的更新并不会在本地生效。因此现有两种解决方案：</p>
+
+ <p>(1) 新上传的镜像的标签和之前的都不一样。</p>
+
+ <p>(2) 登录到后台去将原版本标签的镜像删除。</p>
+
+ <p>拓展：如果使用了华为公有云上面的编排功能，则可以通过设置imagePullPolicy为Always避免该问题。</p>
+ </li>
+ <li>
+ <p><strong>Q: 华为公有云运行时报错：WARN com.huawei.paas.monitor.DataFactory: Upload monitor data error. 使用的配置为：</strong></p>
+
+ <div class="language-yaml highlighter-rouge"><pre class="highlight"><code> <span class="s">cse</span><span class="pi">:</span>
+ <span class="s">monitor</span><span class="pi">:</span>
+ <span class="s">handler</span><span class="pi">:</span>
+ <span class="s">chain</span><span class="pi">:</span>
+ <span class="s">Provider</span><span class="pi">:</span>
+ <span class="s">default</span><span class="pi">:</span> <span class="s">bizkeeper-provider</span>
+</code></pre>
+ </div>
+
+ <p>A: 这个是配置文件的错误，handler应该是在cse的下一级而不是monitor的下一级，正确的配置是：</p>
+
+ <div class="language-yaml highlighter-rouge"><pre class="highlight"><code> <span class="s">cse</span><span class="pi">:</span>
+ <span class="s">handler</span><span class="pi">:</span>
+ <span class="s">chain</span><span class="pi">:</span>
+ <span class="s">Provider</span><span class="pi">:</span>
+ <span class="s">default</span><span class="pi">:</span> <span class="s">bizkeeper-provider</span>
+</code></pre>
+ </div>
+ </li>
+ <li>
+ <p><strong>Q: 微服务引擎CSE和ServiceComb有什么关系？</strong></p>
+
+ <p>A: CSE（Cloud Service Engine）是ServiceComb的商业版，其中除了ServiceComb还包含了安全增强以及服务管控界面。 CSE的核心模块以及相关的开发框架都是和ServiceComb同源的。 基于ServiceComb开发的应用可以不修改代码，很方便地部署CSE环境中。</p>
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