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| <label for=m-zh-cnblog20180521dubbo-e5a496e983a8e58c96e9858de7bdae-check><a href=/zh-cn/blog/2018/05/21/dubbo-%E5%A4%96%E9%83%A8%E5%8C%96%E9%85%8D%E7%BD%AE/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180521dubbo-e5a496e983a8e58c96e9858de7bdae><span>Dubbo 外部化配置</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20180101dubbo-e58d9ae5aea2e69687e6a1a3e4b8ade69687e68e92e78988e68c87e58d97-li><input type=checkbox id=m-zh-cnblog20180101dubbo-e58d9ae5aea2e69687e6a1a3e4b8ade69687e68e92e78988e68c87e58d97-check> |
| <label for=m-zh-cnblog20180101dubbo-e58d9ae5aea2e69687e6a1a3e4b8ade69687e68e92e78988e68c87e58d97-check><a href=/zh-cn/blog/2018/01/01/dubbo-%E5%8D%9A%E5%AE%A2%E6%96%87%E6%A1%A3%E4%B8%AD%E6%96%87%E6%8E%92%E7%89%88%E6%8C%87%E5%8D%97/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20180101dubbo-e58d9ae5aea2e69687e6a1a3e4b8ade69687e68e92e78988e68c87e58d97><span>Dubbo 博客文档中文排版指南</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-zh-cnblogjavacodeanalysis-li><input type=checkbox id=m-zh-cnblogjavacodeanalysis-check> |
| <label for=m-zh-cnblogjavacodeanalysis-check><a href=/zh-cn/blog/java/codeanalysis/ class="align-left pl-0 td-sidebar-link td-sidebar-link__section" id=m-zh-cnblogjavacodeanalysis><span>源码分析</span></a></label><ul class="ul-3 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-zh-cnblogjavacodeanalysismetrics-li><input type=checkbox id=m-zh-cnblogjavacodeanalysismetrics-check> |
| <label for=m-zh-cnblogjavacodeanalysismetrics-check><a href=/zh-cn/blog/java/codeanalysis/metrics/ class="align-left pl-0 td-sidebar-link td-sidebar-link__section" id=m-zh-cnblogjavacodeanalysismetrics><span>dubbo-metrics 指标模块源码浅析</span></a></label><ul class="ul-4 foldable"><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog20230428e5bc95e8a880-li><input type=checkbox id=m-zh-cnblog20230428e5bc95e8a880-check> |
| <label for=m-zh-cnblog20230428e5bc95e8a880-check><a href=/zh-cn/blog/2023/04/28/%E5%BC%95%E8%A8%80/ title=引言 class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog20230428e5bc95e8a880><span>0-引言</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog202304281-e68c87e6a087e6a0b7e69cace79a84e694b6e99b86e4b88ee5ad98e582a8-li><input type=checkbox id=m-zh-cnblog202304281-e68c87e6a087e6a0b7e69cace79a84e694b6e99b86e4b88ee5ad98e582a8-check> |
| <label for=m-zh-cnblog202304281-e68c87e6a087e6a0b7e69cace79a84e694b6e99b86e4b88ee5ad98e582a8-check><a href=/zh-cn/blog/2023/04/28/1-%E6%8C%87%E6%A0%87%E6%A0%B7%E6%9C%AC%E7%9A%84%E6%94%B6%E9%9B%86%E4%B8%8E%E5%AD%98%E5%82%A8/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog202304281-e68c87e6a087e6a0b7e69cace79a84e694b6e99b86e4b88ee5ad98e582a8><span>1-指标样本的收集与存储</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog202304282-e68c87e6a087e694b6e99b86e599a8e79a84e68c87e6a087e98787e99b86e6b581e7a88b-li><input type=checkbox id=m-zh-cnblog202304282-e68c87e6a087e694b6e99b86e599a8e79a84e68c87e6a087e98787e99b86e6b581e7a88b-check> |
| <label for=m-zh-cnblog202304282-e68c87e6a087e694b6e99b86e599a8e79a84e68c87e6a087e98787e99b86e6b581e7a88b-check><a href=/zh-cn/blog/2023/04/28/2-%E6%8C%87%E6%A0%87%E6%94%B6%E9%9B%86%E5%99%A8%E7%9A%84%E6%8C%87%E6%A0%87%E9%87%87%E9%9B%86%E6%B5%81%E7%A8%8B/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog202304282-e68c87e6a087e694b6e99b86e599a8e79a84e68c87e6a087e98787e99b86e6b581e7a88b><span>2-指标收集器的指标采集流程</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog202304283-e68c87e6a087e79b91e590ace6b3a8e5868ce6a2b3e79086-li><input type=checkbox id=m-zh-cnblog202304283-e68c87e6a087e79b91e590ace6b3a8e5868ce6a2b3e79086-check> |
| <label for=m-zh-cnblog202304283-e68c87e6a087e79b91e590ace6b3a8e5868ce6a2b3e79086-check><a href=/zh-cn/blog/2023/04/28/3-%E6%8C%87%E6%A0%87%E7%9B%91%E5%90%AC%E6%B3%A8%E5%86%8C%E6%A2%B3%E7%90%86/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog202304283-e68c87e6a087e79b91e590ace6b3a8e5868ce6a2b3e79086><span>3-指标监听注册梳理</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog202304284-e68c87e6a087e8bdace68da2e4b88ee5afbce587ba-li><input type=checkbox id=m-zh-cnblog202304284-e68c87e6a087e8bdace68da2e4b88ee5afbce587ba-check> |
| <label for=m-zh-cnblog202304284-e68c87e6a087e8bdace68da2e4b88ee5afbce587ba-check><a href=/zh-cn/blog/2023/04/28/4-%E6%8C%87%E6%A0%87%E8%BD%AC%E6%8D%A2%E4%B8%8E%E5%AF%BC%E5%87%BA/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog202304284-e68c87e6a087e8bdace68da2e4b88ee5afbce587ba><span>4-指标转换与导出</span></a></label></li></ul></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section with-child" id=m-zh-cnblogjavacodeanalysis308-li><input type=checkbox id=m-zh-cnblogjavacodeanalysis308-check> |
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| <label for=m-zh-cnblog2022082020-dubbo3e69c8de58aa1e5bc95e794a8e9858de7bdaereferenceconfig-check><a href=/zh-cn/blog/2022/08/20/20-dubbo3%E6%9C%8D%E5%8A%A1%E5%BC%95%E7%94%A8%E9%85%8D%E7%BD%AEreferenceconfig/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog2022082020-dubbo3e69c8de58aa1e5bc95e794a8e9858de7bdaereferenceconfig><span>20-Dubbo3服务引用配置ReferenceConfig</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog2022081919-e9878de696b0e69da5e8bf87e4bb8ee4b880e4b8aae69c8de58aa1e6b688e8b4b9e88085e79a84demoe8afb4e8b5b7-li><input type=checkbox id=m-zh-cnblog2022081919-e9878de696b0e69da5e8bf87e4bb8ee4b880e4b8aae69c8de58aa1e6b688e8b4b9e88085e79a84demoe8afb4e8b5b7-check> |
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| <label for=m-zh-cnblog2022081717-dubboe69c8de58aa1e68f90e4be9be88085e79a84e58f8ce6b3a8e5868ce58e9fe79086-check><a href=/zh-cn/blog/2022/08/17/17-dubbo%E6%9C%8D%E5%8A%A1%E6%8F%90%E4%BE%9B%E8%80%85%E7%9A%84%E5%8F%8C%E6%B3%A8%E5%86%8C%E5%8E%9F%E7%90%86/ class="align-left pl-0 td-sidebar-link td-sidebar-link__page" id=m-zh-cnblog2022081717-dubboe69c8de58aa1e68f90e4be9be88085e79a84e58f8ce6b3a8e5868ce58e9fe79086><span>17-Dubbo服务提供者的双注册原理</span></a></label></li><li class="td-sidebar-nav__section-title td-sidebar-nav__section without-child" id=m-zh-cnblog2022081616-e6a8a1e59d97e58f91e5b883e599a8e58f91e5b883e69c8de58aa1e585a8e8bf87e7a88b-li><input type=checkbox id=m-zh-cnblog2022081616-e6a8a1e59d97e58f91e5b883e599a8e58f91e5b883e69c8de58aa1e585a8e8bf87e7a88b-check> |
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| </span></span><span style=display:flex><span><span style=color:#268bd2><dubbo:service</span> interface=<span style=color:#2aa198>"org.apache.dubbo.samples.basic.api.GreetingService"</span> ref=<span style=color:#2aa198>"greetingService"</span><span style=color:#268bd2>/></span> |
| </span></span></code></pre></div><p>我们示例注册中心实现采用的是 Zookeeper ，启动 192.168.0.103 和 192.168.0.104 两个实例后，以下是两种模式下注册中心的实际数据</p><p><strong>1. “接口粒度” 服务发现</strong></p><p>192.168.0.103 实例注册的数据</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-text data-lang=text><span style=display:flex><span>dubbo://192.168.0.103:20880/org.apache.dubbo.samples.basic.api.DemoService?anyhost=true&application=demo-provider&default=true&deprecated=false&dubbo=2.0.2&dynamic=true&generic=false&interface=org.apache.dubbo.samples.basic.api.DemoService&methods=testVoid,sayHello&pid=995&release=2.7.7&side=provider&timestamp=1596988171266 |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span>dubbo://192.168.0.103:20880/org.apache.dubbo.samples.basic.api.GreetingService?anyhost=true&application=demo-provider&default=true&deprecated=false&dubbo=2.0.2&dynamic=true&generic=false&interface=org.apache.dubbo.samples.basic.api.GreetingService&methods=greeting&pid=995&release=2.7.7&side=provider&timestamp=1596988170816 |
| </span></span></code></pre></div><p>192.168.0.104 实例注册的数据</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-text data-lang=text><span style=display:flex><span>dubbo://192.168.0.104:20880/org.apache.dubbo.samples.basic.api.DemoService?anyhost=true&application=demo-provider&default=true&deprecated=false&dubbo=2.0.2&dynamic=true&generic=false&interface=org.apache.dubbo.samples.basic.api.DemoService&methods=testVoid,sayHello&pid=995&release=2.7.7&side=provider&timestamp=1596988171266 |
| </span></span><span style=display:flex><span> |
| </span></span><span style=display:flex><span>dubbo://192.168.0.104:20880/org.apache.dubbo.samples.basic.api.GreetingService?anyhost=true&application=demo-provider&default=true&deprecated=false&dubbo=2.0.2&dynamic=true&generic=false&interface=org.apache.dubbo.samples.basic.api.GreetingService&methods=greeting&pid=995&release=2.7.7&side=provider&timestamp=1596988170816 |
| </span></span></code></pre></div><p><strong>2. “应用粒度” 服务发现</strong></p><p>192.168.0.103 与 192.168.0.104 两个实例共享一份注册中心数据，如下：</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-json data-lang=json><span style=display:flex><span>{ |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"name"</span>: <span style=color:#2aa198>"demo-provider"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"id"</span>: <span style=color:#2aa198>"192.168.0.103:20880"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"address"</span>: <span style=color:#2aa198>"192.168.0.103"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"port"</span>: <span style=color:#2aa198>20880</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"metadata"</span>: { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"dubbo.endpoints"</span>: <span style=color:#2aa198>"[{\"port\":20880,\"protocol\":\"dubbo\"}]"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"dubbo.metadata.storage-type"</span>: <span style=color:#2aa198>"local"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"dubbo.revision"</span>: <span style=color:#2aa198>"6785535733750099598"</span> |
| </span></span><span style=display:flex><span> }, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"time"</span>: <span style=color:#2aa198>1583461240877</span> |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-json data-lang=json><span style=display:flex><span>{ |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"name"</span>: <span style=color:#2aa198>"demo-provider"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"id"</span>: <span style=color:#2aa198>"192.168.0.104:20880"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"address"</span>: <span style=color:#2aa198>"192.168.0.104"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"port"</span>: <span style=color:#2aa198>20880</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"metadata"</span>: { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"dubbo.endpoints"</span>: <span style=color:#2aa198>"[{\"port\":20880,\"protocol\":\"dubbo\"}]"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"dubbo.metadata.storage-type"</span>: <span style=color:#2aa198>"local"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"dubbo.revision"</span>: <span style=color:#2aa198>"7829635812370099387"</span> |
| </span></span><span style=display:flex><span> }, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"time"</span>: <span style=color:#2aa198>1583461240877</span> |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><p>对比以上两种不同粒度的服务发现模式，从 “接口粒度” 升级到 “应用粒度” 后我们可以总结出最大的区别是：注册中心数据量不再与接口数成正比，不论应用提供有多少接口，注册中心只有一条实例数据。</p><p>那么接下来我们详细看下这个变化给 Dubbo 带来了哪些好处。</p><h2 id=3-dubbo-应用级服务发现的意义>3 Dubbo 应用级服务发现的意义</h2><p>我们先说结论，应用级服务发现给 Dubbo 带来以下优势：</p><ol><li>与业界主流微服务模型对齐，比如 SpringCloud、Kubernetes Native Service等。</li><li>提升性能与可伸缩性。注册中心数据的重新组织（减少），能最大幅度的减轻注册中心的存储、推送压力，进而减少 Dubbo Consumer 侧的地址计算压力；集群规模也开始变得可预测、可评估（与 RPC 接口数量无关，只与实例部署规模相关）。</li></ol><h3 id=31-对齐主流微服务模型>3.1 对齐主流微服务模型</h3><p>自动、透明的实例地址发现（负载均衡）是所有微服务框架需要解决的事情，这能让后端的部署结构对上游微服务透明，上游服务只需要从收到的地址列表中选取一个，发起调用就可以了。要实现以上目标，涉及两个关键点的自动同步：</p><ul><li>实例地址，服务消费方需要知道地址以建立连接</li><li>RPC 方法定义，服务消费方需要知道 RPC 服务的具体定义，不论服务类型是 rest 或 rmi 等。</li></ul><p><img src=/imgs/blog/service-discovery-2.png alt=img2></p><p>对于 RPC 实例间借助注册中心的数据同步，REST 定义了一套非常有意思的成熟度模型，感兴趣的朋友可以参考这里的链接 <a href=https://www.martinfowler.com/articles/richardsonMaturityModel.html>https://www.martinfowler.com/articles/richardsonMaturityModel.html</a>， 按照文章中的 4 级成熟度定义，Dubbo 当前基于接口粒度的模型可以对应到 L4 级别。</p><p>接下来，我们看看 Dubbo、SpringCloud 以及 Kubernetes 分别是怎么围绕自动化的实例地址发现这个目标设计的。</p><p><strong>1. Spring Cloud</strong></p><p>Spring Cloud 通过注册中心只同步了应用与实例地址，消费方可以基于实例地址与服务提供方建立连接，但是消费方对于如何发起 http 调用（SpringCloud 基于 rest 通信）一无所知，比如对方有哪些 http endpoint，需要传入哪些参数等。</p><p>RPC 服务这部分信息目前都是通过线下约定或离线的管理系统来协商的。这种架构的优缺点总结如下。 |
| 优势：部署结构清晰、地址推送量小； |
| 缺点：地址订阅需要指定应用名， provider 应用变更（拆分）需消费端感知；RPC 调用无法全自动同步。</p><p><img src=/imgs/blog/service-discovery-3.png alt=img3></p><p><strong>2. Dubbo</strong></p><p>Dubbo 通过注册中心同时同步了实例地址和 RPC 方法，因此其能实现 RPC 过程的自动同步，面向 RPC 编程、面向 RPC 治理，对后端应用的拆分消费端无感知，其缺点则是地址推送数量变大，和 RPC 方法成正比。</p><p><img src=/imgs/blog/service-discovery-4.png alt=img4></p><p><strong>3. Dubbo + Kubernetes</strong></p><p>Dubbo 要支持 Kubernetes native service，相比之前自建注册中心的服务发现体系来说，在工作机制上主要有两点变化：</p><ul><li>服务注册由平台接管，provider 不再需要关心服务注册</li><li>consumer 端服务发现将是 Dubbo 关注的重点，通过对接平台层的 API-Server、DNS 等，Dubbo client 可以通过一个 <a href=https://kubernetes.io/docs/concepts/services-networking/service/>Service Name</a>（通常对应到 Application Name）查询到一组 Endpoints（一组运行 provider 的 pod），通过将 Endpoints 映射到 Dubbo 内部地址列表，以驱动 Dubbo 内置的负载均衡机制工作。</li></ul><blockquote><p>Kubernetes Service 作为一个抽象概念，怎么映射到 Dubbo 是一个值得讨论的点</p><ul><li>Service Name - > Application Name，Dubbo 应用和 Kubernetes 服务一一对应，对于微服务运维和建设环节透明，与开发阶段解耦。</li></ul><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-yaml data-lang=yaml><span style=display:flex><span><span style=color:#268bd2>apiVersion</span>: v1 |
| </span></span><span style=display:flex><span><span style=color:#268bd2>kind</span>: Service |
| </span></span><span style=display:flex><span><span style=color:#268bd2>metadata</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>name</span>: provider-app-name |
| </span></span><span style=display:flex><span><span style=color:#268bd2>spec</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>selector</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>app</span>: provider-app-name |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>ports</span>: |
| </span></span><span style=display:flex><span> - <span style=color:#268bd2>protocol</span>: TCP |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>port</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>targetPort</span>: <span style=color:#2aa198>9376</span> |
| </span></span></code></pre></div><ul><li>Service Name - > Dubbo RPC Service，Kubernetes 要维护调度的服务与应用内建 RPC 服务绑定，维护的服务数量变多。</li></ul><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-yaml data-lang=yaml><span style=display:flex><span>--- |
| </span></span><span style=display:flex><span><span style=color:#268bd2>apiVersion</span>: v1 |
| </span></span><span style=display:flex><span><span style=color:#268bd2>kind</span>: Service |
| </span></span><span style=display:flex><span><span style=color:#268bd2>metadata</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>name</span>: rpc-service-1 |
| </span></span><span style=display:flex><span><span style=color:#268bd2>spec</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>selector</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>app</span>: provider-app-name |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>ports</span>: <span style=color:#586e75>##</span> |
| </span></span><span style=display:flex><span>... |
| </span></span><span style=display:flex><span>--- |
| </span></span><span style=display:flex><span><span style=color:#268bd2>apiVersion</span>: v1 |
| </span></span><span style=display:flex><span><span style=color:#268bd2>kind</span>: Service |
| </span></span><span style=display:flex><span><span style=color:#268bd2>metadata</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>name</span>: rpc-service-2 |
| </span></span><span style=display:flex><span><span style=color:#268bd2>spec</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>selector</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>app</span>: provider-app-name |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>ports</span>: <span style=color:#586e75>##</span> |
| </span></span><span style=display:flex><span>... |
| </span></span><span style=display:flex><span>--- |
| </span></span><span style=display:flex><span><span style=color:#268bd2>apiVersion</span>: v1 |
| </span></span><span style=display:flex><span><span style=color:#268bd2>kind</span>: Service |
| </span></span><span style=display:flex><span><span style=color:#268bd2>metadata</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>name</span>: rpc-service-N |
| </span></span><span style=display:flex><span><span style=color:#268bd2>spec</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>selector</span>: |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>app</span>: provider-app-name |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>ports</span>: <span style=color:#586e75>##</span> |
| </span></span><span style=display:flex><span>... |
| </span></span></code></pre></div></blockquote><p><img src=/imgs/blog/service-discovery-5.png alt=img5></p><p>结合以上几种不同微服务框架模型的分析，我们可以发现，Dubbo 与 SpringCloud、Kubernetes 等不同产品在微服务的抽象定义上还是存在很大不同的。SpringCloud 和 Kubernetes 在微服务的模型抽象上还是比较接近的，两者基本都只关心实例地址的同步，如果我们去关心其他的一些服务框架产品，会发现它们绝大多数也是这么设计的；</p><blockquote><p>即 REST 成熟度模型中的 L3 级别。</p></blockquote><p>对比起来 Dubbo 则相对是比较特殊的存在，更多的是从 RPC 服务的粒度去设计的。</p><blockquote><p>对应 REST 成熟度模型中的 L4 级别。</p></blockquote><p>如我们上面针对每种模型做了详细的分析，每种模型都有其优势和不足。而我们最初决定 Dubbo 要做出改变，往其他的微服务发现模型上的对齐，是我们最早在确定 Dubbo 的云原生方案时，我们发现要让 Dubbo 去支持 Kubernetes Native Service，模型对齐是一个基础条件；另一点是来自用户侧对 Dubbo 场景化的一些工程实践的需求，得益于 Dubbo 对多注册、多协议能力的支持，使得 Dubbo 联通不同的微服务体系成为可能，而服务发现模型的不一致成为其中的一个障碍，这部分的场景描述请参见以下文章：<a href=https://developer.aliyun.com/article/740260>Dubbo 如何成为连接异构微服务体系的最佳服务开发框架</a></p><h3 id=32-更大规模的微服务集群---解决性能瓶颈>3.2 更大规模的微服务集群 - 解决性能瓶颈</h3><p>这部分涉及到和注册中心、配置中心的交互，关于不同模型下注册中心数据的变化，之前原理部分我们简单分析过。为更直观的对比服务模型变更带来的推送效率提升，我们来通过一个示例看一下不同模型注册中心的对比：</p><p><img src=/imgs/blog/service-discovery-6.png alt=img6></p><p>图中左边是微服务框架的一个典型工作流程，Provider 和 Consumer 通过注册中心实现自动化的地址通知。其中，Provider 实例的信息如图中表格所示： |
| 应用 DEMO 包含三个接口 DemoService 1 2 3，当前实例的 ip 地址为 10.210.134.30。</p><ul><li>对于 Spring Cloud 和 Kubernetes 模型，注册中心只会存储一条 <code>DEMO - 10.210.134.30+metadata</code> 的数据；</li><li>对于老的 Dubbo 模型，注册中心存储了三条接口粒度的数据，分别对应三个接口 DemoService 1 2 3，并且很多的址数据都是重复的；</li></ul><p>可以总结出，基于应用粒度的模型所存储和推送的数据量是和应用、实例数成正比的，只有当我们的应用数增多或应用的实例数增长时，地址推送压力才会上涨。 |
| 而对于基于接口粒度的模型，数据量是和接口数量正相关的，鉴于一个应用通常发布多个接口的现状，这个数量级本身比应用粒度是要乘以倍数的；另外一个关键点在于，接口粒度导致的集群规模评估的不透明，相对于实例、应用增长都通常是在运维侧的规划之中，接口的定义更多的是业务侧的内部行为，往往可以绕过评估给集群带来压力。</p><p>以 Consumer 端服务订阅举例，根据我对社区部分 Dubbo 中大规模头部用户的粗略统计，根据受统计公司的实际场景，一个 Consumer 应用要消费（订阅）的 Provier 应用数量往往要超过 10 个，而具体到其要消费（订阅）的的接口数量则通常要达到 30 个，平均情况下 Consumer 订阅的 3 个接口来自同一个 Provider 应用，如此计算下来，如果以应用粒度为地址通知和选址基本单位，则平均地址推送和计算量将下降 60% 还要多， |
| 而在极端情况下，也就是当 Consumer 端消费的接口更多的来自同一个应用时，这个地址推送与内存消耗的占用将会进一步得到降低，甚至可以超过 80% 以上。</p><p>一个典型的极端场景即是 Dubbo 体系中的网关型应用，有些网关应用消费（订阅）达 100+ 应用，而消费（订阅）的服务有 1000+ ，平均有 10 个接口来自同一个应用，如果我们把地址推送和计算的粒度改为应用，则地址推送量从原来的 n * 1000 变为 n * 100，地址数量降低可达近 90%。</p><h2 id=4-应用级服务发现工作原理>4 应用级服务发现工作原理</h2><h3 id=41-设计原则>4.1 设计原则</h3><p>上面一节我们从<strong>服务模型</strong>及<strong>支撑大规模集群</strong>的角度分别给出了 Dubbo 往应用级服务发现靠拢的好处和原因，但这么做的同时接口粒度的服务治理能力还是要继续保留，这是 Dubbo 框架编程模型易用性、服务治理能力优势的基础。 |
| 以下是我认为我们做服务模型迁移仍要坚持的设计原则</p><ul><li>新的服务发现模型要实现对原有 Dubbo 消费端开发者的无感知迁移，即 Dubbo 继续面向 RPC 服务编程、面向 RPC 服务治理，做到对用户侧完全无感知。</li><li>建立 Consumer 与 Provider 间的自动化 RPC 服务元数据协调机制，解决传统微服务模型无法同步 RPC 级接口配置的缺点。</li></ul><h3 id=42-基本原理详解>4.2 基本原理详解</h3><p>应用级服务发现作为一种新的服务发现机制，和以前 Dubbo 基于 RPC 服务粒度的服务发现在核心流程上基本上是一致的：即服务提供者往注册中心注册地址信息，服务消费者从注册中心拉取&订阅地址信息。</p><p>这里主要的不同有以下两点：</p><h4 id=421-注册中心数据以应用---实例列表格式组织不再包含-rpc-服务信息>4.2.1 注册中心数据以“应用 - 实例列表”格式组织，不再包含 RPC 服务信息</h4><p><img src=/imgs/blog/service-discovery-7.png alt=img7></p><p>以下是每个 Instance metadata 的示例数据，总的原则是 metadata 只包含当前 instance 节点相关的信息，不涉及 RPC 服务粒度的信息。</p><p>总体信息概括如下：实例地址、实例各种环境标、metadata service 元数据、其他少量必要属性。</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-json data-lang=json><span style=display:flex><span>{ |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"name"</span>: <span style=color:#2aa198>"provider-app-name"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"id"</span>: <span style=color:#2aa198>"192.168.0.102:20880"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"address"</span>: <span style=color:#2aa198>"192.168.0.102"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"port"</span>: <span style=color:#2aa198>20880</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"sslPort"</span>: <span style=color:#cb4b16>null</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"payload"</span>: { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"id"</span>: <span style=color:#cb4b16>null</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"name"</span>: <span style=color:#2aa198>"provider-app-name"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"metadata"</span>: { |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"metadataService"</span>: <span style=color:#2aa198>"{\"dubbo\":{\"version\":\"1.0.0\",\"dubbo\":\"2.0.2\",\"release\":\"2.7.5\",\"port\":\"20881\"}}"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"endpoints"</span>: <span style=color:#2aa198>"[{\"port\":20880,\"protocol\":\"dubbo\"}]"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"storage-type"</span>: <span style=color:#2aa198>"local"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"revision"</span>: <span style=color:#2aa198>"6785535733750099598"</span>, |
| </span></span><span style=display:flex><span> } |
| </span></span><span style=display:flex><span> }, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"registrationTimeUTC"</span>: <span style=color:#2aa198>1583461240877</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"serviceType"</span>: <span style=color:#2aa198>"DYNAMIC"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#268bd2>"uriSpec"</span>: <span style=color:#cb4b16>null</span> |
| </span></span><span style=display:flex><span>} |
| </span></span></code></pre></div><h4 id=422-client--server-自行协商-rpc-方法信息>4.2.2 Client – Server 自行协商 RPC 方法信息</h4><p>在注册中心不再同步 RPC 服务信息后，服务自省在服务消费端和提供端之间建立了一条内置的 RPC 服务信息协商机制，这也是“服务自省”这个名字的由来。服务端实例会暴露一个预定义的 MetadataService RPC 服务，消费端通过调用 MetadataService 获取每个实例 RPC 方法相关的配置信息。</p><p><img src=/imgs/blog/service-discovery-8.png alt=img8></p><p>当前 MetadataService 返回的数据格式如下，</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-json data-lang=json><span style=display:flex><span>[ |
| </span></span><span style=display:flex><span> <span style=color:#2aa198>"dubbo://192.168.0.102:20880/org.apache.dubbo.demo.DemoService?anyhost=true&application=demo-provider&deprecated=false&dubbo=2.0.2&dynamic=true&generic=false&interface=org.apache.dubbo.demo.DemoService&methods=sayHello&pid=9585&release=2.7.5&side=provider&timestamp=1583469714314"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#2aa198>"dubbo://192.168.0.102:20880/org.apache.dubbo.demo.HelloService?anyhost=true&application=demo-provider&deprecated=false&dubbo=2.0.2&dynamic=true&generic=false&interface=org.apache.dubbo.demo.DemoService&methods=sayHello&pid=9585&release=2.7.5&side=provider&timestamp=1583469714314"</span>, |
| </span></span><span style=display:flex><span> <span style=color:#2aa198>"dubbo://192.168.0.102:20880/org.apache.dubbo.demo.WorldService?anyhost=true&application=demo-provider&deprecated=false&dubbo=2.0.2&dynamic=true&generic=false&interface=org.apache.dubbo.demo.DemoService&methods=sayHello&pid=9585&release=2.7.5&side=provider&timestamp=1583469714314"</span> |
| </span></span><span style=display:flex><span>] |
| </span></span></code></pre></div><blockquote><p>熟悉 Dubbo 基于 RPC 服务粒度的服务发现模型的开发者应该能看出来，服务自省机制机制将以前注册中心传递的 URL 一拆为二：</p><ul><li>一部分和实例相关的数据继续保留在注册中心，如 ip、port、机器标识等。</li><li>另一部分和 RPC 方法相关的数据从注册中心移除，转而通过 MetadataService 暴露给消费端。</li></ul><p><strong>理想情况下是能达到数据按照实例、RPC 服务严格区分开来，但明显可以看到以上实现版本还存在一些数据冗余，有些数据也还未合理划分。尤其是 MetadataService 部分，其返回的数据还只是简单的 URL 列表组装，这些 URL其实是包含了全量的数据。</strong></p></blockquote><p>以下是服务自省的一个完整工作流程图，详细描述了服务注册、服务发现、MetadataService、RPC 调用间的协作流程。</p><p><img src=/imgs/blog/service-discovery-9.png alt=img9></p><ul><li>服务提供者启动，首先解析应用定义的“普通服务”并依次注册为 RPC 服务，紧接着注册内建的 MetadataService 服务，最后打开 TCP 监听端口。</li><li>启动完成后，将实例信息注册到注册中心（仅限 ip、port 等实例相关数据），提供者启动完成。</li><li>服务消费者启动，首先依据其要“消费的 provider 应用名”到注册中心查询地址列表，并完成订阅（以实现后续地址变更自动通知）。</li><li>消费端拿到地址列表后，紧接着对 MetadataService 发起调用，返回结果中包含了所有应用定义的“普通服务”及其相关配置信息。</li><li>至此，消费者可以接收外部流量，并对提供者发起 Dubbo RPC 调用</li></ul><blockquote><p>在以上流程中，我们只考虑了一切顺利的情况，但在更详细的设计或编码实现中，我们还需要严格约定一些异常场景下的框架行为。比如，如果消费者 MetadataService 调用失败，则在重试直到成功之前，消费者将不可以接收外部流量。</p></blockquote><h3 id=43-服务自省中的关键机制>4.3 服务自省中的关键机制</h3><h4 id=431-元数据同步机制>4.3.1 元数据同步机制</h4><p>Client 与 Server 间在收到地址推送后的配置同步是服务自省的关键环节，目前针对元数据同步有两种具体的可选方案，分别是：</p><ul><li>内建 MetadataService。</li><li>独立的元数据中心，通过中心化的元数据集群协调数据。</li></ul><p><strong>1. 内建 MetadataService</strong> |
| MetadataService 通过标准的 Dubbo 协议暴露，根据查询条件，会将内存中符合条件的“普通服务”配置返回给消费者。这一步发生在消费端选址和调用前。</p><p><strong>2. 元数据中心</strong> |
| 复用 2.7 版本中引入的元数据中心，provider 实例启动后，会尝试将内部的 RPC 服务组织成元数据的格式同步到元数据中心，而 consumer 则在每次收到注册中心推送更新后，主动查询元数据中心。</p><blockquote><p>注意 consumer 端查询元数据中心的时机，是等到注册中心的地址更新通知之后。也就是通过注册中心下发的数据，我们能明确的知道何时某个实例的元数据被更新了，此时才需要去查元数据中心。</p></blockquote><p><img src=/imgs/blog/service-discovery-10.png alt=img10></p><h4 id=432-rpc-服务-----应用映射关系>4.3.2 RPC 服务 < - > 应用映射关系</h4><p>回顾上文讲到的注册中心关于“应用 - 实例列表”结构的数据组织形式，这个变动目前对开发者并不是完全透明的，业务开发侧会感知到查询/订阅地址列表的机制的变化。具体来说，相比以往我们基于 RPC 服务来检索地址，现在 consumer 需要通过指定 provider 应用名才能实现地址查询或订阅。</p><p>老的 Consumer 开发与配置示例：</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-xml data-lang=xml><span style=display:flex><span><span style=color:#586e75><!-- 框架直接通过 RPC Service 1/2/N 去注册中心查询或订阅地址列表 --></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2><dubbo:registry</span> address=<span style=color:#2aa198>"zookeeper://127.0.0.1:2181"</span><span style=color:#268bd2>/></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2><dubbo:reference</span> interface=<span style=color:#2aa198>"RPC Service 1"</span> <span style=color:#268bd2>/></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2><dubbo:reference</span> interface=<span style=color:#2aa198>"RPC Service 2"</span> <span style=color:#268bd2>/></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2><dubbo:reference</span> interface=<span style=color:#2aa198>"RPC Service N"</span> <span style=color:#268bd2>/></span> |
| </span></span></code></pre></div><p>新的 Consumer 开发与配置示例：</p><div class=highlight><pre tabindex=0 style=color:#93a1a1;background-color:#002b36;-moz-tab-size:4;-o-tab-size:4;tab-size:4><code class=language-xml data-lang=xml><span style=display:flex><span><span style=color:#586e75><!-- 框架需要通过额外的 provided-by="provider-app-x" 才能在注册中心查询或订阅到地址列表 --></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2><dubbo:registry</span> address=<span style=color:#2aa198>"zookeeper://127.0.0.1:2181?registry-type=service"</span><span style=color:#268bd2>/></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2><dubbo:reference</span> interface=<span style=color:#2aa198>"RPC Service 1"</span> provided-by=<span style=color:#2aa198>"provider-app-x"</span><span style=color:#268bd2>/></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2><dubbo:reference</span> interface=<span style=color:#2aa198>"RPC Service 2"</span> provided-by=<span style=color:#2aa198>"provider-app-x"</span> <span style=color:#268bd2>/></span> |
| </span></span><span style=display:flex><span><span style=color:#268bd2><dubbo:reference</span> interface=<span style=color:#2aa198>"RPC Service N"</span> provided-by=<span style=color:#2aa198>"provider-app-y"</span> <span style=color:#268bd2>/></span> |
| </span></span></code></pre></div><p>以上指定 provider 应用名的方式是 Spring Cloud 当前的做法，需要 consumer 端的开发者显示指定其要消费的 provider 应用。</p><p>以上问题的根源在于注册中心不知道任何 RPC 服务相关的信息，因此只能通过应用名来查询。</p><p>为了使整个开发流程对老的 Dubbo 用户更透明，同时避免指定 provider 对可扩展性带来的影响（参见下方说明），我们设计了一套 <code>RPC 服务到应用名</code>的映射关系，以尝试在 consumer 端自动完成 RPC 服务到 provider 应用名的转换。</p><p><img src=/imgs/blog/service-discovery-11.png alt=img11></p><blockquote><p>Dubbo 之所以选择建立一套“接口-应用”的映射关系，主要是考虑到 service - app 映射关系的不确定性。一个典型的场景即是应用/服务拆分，如上面提到的配置<code><dubbo:reference interface="RPC Service 2" provided-by="provider-app-x" /></code>，PC Service 2 是定义于 provider-app-x 中的一个服务，未来它随时可能会被开发者分拆到另外一个新的应用如 provider-app-x-1 中，这个拆分要被所有的 PC Service 2 消费方感知到，并对应用进行修改升级，如改为<code><dubbo:reference interface="RPC Service 2" provided-by="provider-app-x-1" /></code>，这样的升级成本不可否认还是挺高的。 |
| 到底是 Dubbo 框架帮助开发者透明的解决这个问题，还是交由开发者自己去解决，当然这只是个策略选择问题，并且 Dubbo 2.7.5+ 版本目前是都提供了的。其实我个人更倾向于交由业务开发者通过组织上的约束来做，这样也可进一步降低 Dubbo 框架的复杂度，提升运行态的稳定性。</p></blockquote><h2 id=5-总结与展望>5 总结与展望</h2><p>应用级服务发现机制是 Dubbo 面向云原生走出的重要一步，它帮 Dubbo 打通了与其他微服务体系之间在地址发现层面的鸿沟，也成为 Dubbo 适配 Kubernetes Native Service 等基础设施的基础。我们期望 Dubbo 在新模型基础上，能继续保留在编程易用性、服务治理能力等方面强大的优势。但是我们也应该看到应用粒度的模型一方面带来了新的复杂性，需要我们继续去优化与增强；另一方面，除了地址存储与推送之外，应用粒度在帮助 Dubbo 选址层面也有进一步挖掘的潜力。</p><ul class="list-unstyled d-flex justify-content-between align-items-center mb-0 pt-5"><li><a href=/zh-cn/blog/2019/10/17/dubbo-%E4%B8%AD%E7%9A%84-url-%E7%BB%9F%E4%B8%80%E6%A8%A1%E5%9E%8B/ aria-label="上一页 - Dubbo 中的 URL 统一模型" class="btn btn-primary"><span class=mr-1>←</span>上一页</a></li><li><a href=/zh-cn/blog/2022/06/23/%E6%B5%85%E6%9E%90-dubbo-3.0-%E4%B8%AD%E6%8E%A5%E5%8F%A3%E7%BA%A7%E5%9C%B0%E5%9D%80%E6%8E%A8%E9%80%81%E6%80%A7%E8%83%BD%E7%9A%84%E4%BC%98%E5%8C%96/ aria-label="下一页 - 浅析 Dubbo 3.0 中接口级地址推送性能的优化" class="btn btn-primary">下一页<span class=ml-1>→</span></a></li></ul></div><div id=pre-footer><h2>反馈</h2><p class=feedback--prompt>此页是否对您有帮助？</p><button class="btn btn-primary mb-4 feedback--yes">是</button> |
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| <a href=https://github.com/apache/dubbo/issues/new target=_blank><i class="fas fa-tasks fa-fw"></i> 提交项目问题</a></div><nav id=TableOfContents><ul><li><a href=#1-服务发现service-discovery-概述>1 服务发现（Service Discovery） 概述</a></li><li><a href=#2-dubbo-地址发现机制解析>2 Dubbo 地址发现机制解析</a></li><li><a href=#3-dubbo-应用级服务发现的意义>3 Dubbo 应用级服务发现的意义</a><ul><li><a href=#31-对齐主流微服务模型>3.1 对齐主流微服务模型</a></li><li><a href=#32-更大规模的微服务集群---解决性能瓶颈>3.2 更大规模的微服务集群 - 解决性能瓶颈</a></li></ul></li><li><a href=#4-应用级服务发现工作原理>4 应用级服务发现工作原理</a><ul><li><a href=#41-设计原则>4.1 设计原则</a></li><li><a href=#42-基本原理详解>4.2 基本原理详解</a></li><li><a href=#43-服务自省中的关键机制>4.3 服务自省中的关键机制</a></li></ul></li><li><a href=#5-总结与展望>5 总结与展望</a></li></ul></nav><div class="taxonomy taxonomy-terms-cloud taxo-tags"><h5 class=taxonomy-title>Tags</h5><ul class=taxonomy-terms><li><a class=taxonomy-term href=https://cn.dubbo.apache.org/zh-cn/tags/apachecon2023/ data-taxonomy-term=apachecon2023><span class=taxonomy-label>apachecon2023</span><span 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