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Thinking Distributed Systems
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| <header class="hero" id="top"> | |
| <h1>分布式系统思维 · 第1章:心智模型与复杂性导航</h1> | |
| <p>这页是基于你我对话内容整理的“可打印网页笔记”。目标是把本章核心思想用一套统一的结构表达出来,方便你后续读第 6 / 10 章时反复回看。</p> | |
| <div class="tagrow"> | |
| <span class="pill">Mental Model</span> | |
| <span class="pill">Safety / Liveness</span> | |
| <span class="pill">SLO / Error Budget</span> | |
| <span class="pill">Holon / Holarchy</span> | |
| <span class="pill">Global vs Local</span> | |
| <span class="pill">Interleavings</span> | |
| </div> | |
| </header> | |
| <div class="grid"> | |
| <section class="card"> | |
| <h2>目录</h2> | |
| <ol class="toc"> | |
| <li><a href="#sec-mental">心智模型:事实集合、正确性与完备性</a></li> | |
| <li><a href="#sec-models">模型多样性:等价与非等价</a></li> | |
| <li><a href="#sec-steps">离散步骤:外部步骤与内部步骤</a></li> | |
| <li><a href="#sec-guarantees">正确性:Safety / Liveness</a></li> | |
| <li><a href="#sec-slo">响应性:SLI / SLO / Error Rate / Error Budget</a></li> | |
| <li><a href="#sec-holon">Systems of Systems:Holon / Holarchy</a></li> | |
| <li><a href="#sec-global-local">全局视角 vs 局部视角</a></li> | |
| <li><a href="#sec-inc">Distributed Systems Incorporated:办公楼类比</a></li> | |
| <li><a href="#sec-race">在代码之上:交错模型与竞态</a></li> | |
| <li><a href="#sec-db">数据库例子:并发等价于串行</a></li> | |
| <li><a href="#sec-summary">本章要点速记</a></li> | |
| </ol> | |
| <div class="callout warn"> | |
| <strong>阅读提示:</strong>后续章节遇到不同作者/论文的不同表述时,先问两件事: | |
| <div class="inner"> | |
| ① 作者想表达的“相关事实”是什么?省略了什么?<br> | |
| ② 这套抽象用来证明/解释的是安全性、活性,还是 SLO 维度? | |
| </div> | |
| </div> | |
| </section> | |
| <aside class="card"> | |
| <h2>一眼抓住本章主线</h2> | |
| <ul class="def"> | |
| <li><strong>系统(system)</strong>:地面真相的一组事实集合(ground truth)。</li> | |
| <li><strong>心智模型(mental model)</strong>:我们“认为”的事实集合(perceived truth)。</li> | |
| <li><strong>好模型</strong>:既正确(不含假事实)又完备(不遗漏相关事实)。</li> | |
| <li><strong>分布式系统</strong>:并发组件集合,靠网络收发消息通信。</li> | |
| <li><strong>核心挑战</strong>:全局思考、局部行动(每个组件只有局部知识)。</li> | |
| <li><strong>最终关心</strong>:系统的保证(guarantees),用 correctness + responsiveness 推理。</li> | |
| </ul> | |
| <div class="hr"></div> | |
| <details> | |
| <summary>本章“aha!” 两条(你读到的那两句)</summary> | |
| <div class="inner"> | |
| <p><strong>Application-specific:</strong>正确性/可靠性/可扩展性的标准不是宇宙常数,而由应用场景定义(你能决定“可接受/不可接受”)。</p> | |
| <p><strong>Emergent:</strong>正确性/可靠性/可扩展性是系统级“涌现”性质,来自组件互动,无法归因到单一组件。</p> | |
| </div> | |
| </details> | |
| </aside> | |
| </div> | |
| <section class="card" id="sec-mental"> | |
| <h2>1)心智模型:事实集合、正确性与完备性</h2> | |
| <div class="cols"> | |
| <div class="callout good"> | |
| <strong>System:</strong>一组事实,构成“地面真相”。 | |
| </div> | |
| <div class="callout"> | |
| <strong>Mental model:</strong>一组事实,构成“我们以为的真相”。 | |
| </div> | |
| </div> | |
| <div class="callout"> | |
| <strong>正确性(Correctness)</strong>:模型里的每个事实都必须是系统事实(不含假话)。<br> | |
| <strong>完备性(Completeness)</strong>:系统里每个“相关事实”都应出现在模型里(不遗漏)。<br> | |
| <span class="soft">相关性(relevance)是应用特定的:你关心电流时只要电阻;你关心亮度就还需要发光效率。</span> | |
| </div> | |
| <details> | |
| <summary>为什么“相关事实”是关键?</summary> | |
| <div class="inner"> | |
| 同一个系统,不同问题需要不同事实集合:讨论一致性时,可能只需要“状态与消息”;讨论性能时,需要队列、背压、资源上限;讨论隔离时,需要锁/版本/冲突。 | |
| 所谓“模型争论”,很多时候是“相关事实选择”不同。 | |
| </div> | |
| </details> | |
| </section> | |
| <section class="card" id="sec-models"> | |
| <h2>2)模型多样性:等价与非等价</h2> | |
| <h3>2.1 等价模型:同一方面的不同表达</h3> | |
| <p class="muted"> | |
| 例:把网络当“在途消息缓冲区”,或把缓冲区放到各组件本地;两者都能表达丢/重/乱序,因此可视为等价。 | |
| 等价说的是“表达能力”,不代表解释成本完全一样。 | |
| </p> | |
| <div class="cols"> | |
| <div class="callout"> | |
| <strong>网络=缓冲区</strong><br> | |
| 适合推理协议正确性:把非确定性集中在“网络”抽象里。 | |
| </div> | |
| <div class="callout"> | |
| <strong>组件=缓冲区</strong><br> | |
| 适合推理实现与资源:队列长度、内存、重试、背压更直观。 | |
| </div> | |
| </div> | |
| <h3>2.2 非等价模型:关注点不同导致表达能力不同</h3> | |
| <p class="muted"> | |
| 例:Lamport 的 Transaction Commit(更抽象)可能忽略消息交换;2PC(更具体)显式包含消息,因此能表达丢/重/乱序等网络语义。 | |
| </p> | |
| <div class="callout warn"> | |
| <strong>读论文/文章时的提问:</strong>作者的模型刻意省略了哪些方面?省略会不会让结论无法迁移到你的故障/负载场景? | |
| </div> | |
| </section> | |
| <section class="card" id="sec-steps"> | |
| <h2>3)离散步骤:外部步骤与内部步骤</h2> | |
| <p class="muted">系统以离散步骤推进。每一步由“某个组件或网络”执行。</p> | |
| <div class="cols"> | |
| <div class="callout"> | |
| <strong>External steps(外部步骤)</strong><br> | |
| 发送消息、接收消息等与网络交互的动作。 | |
| </div> | |
| <div class="callout"> | |
| <strong>Internal steps(内部步骤)</strong><br> | |
| 本地计算、读取/更新本地状态等动作。 | |
| </div> | |
| </div> | |
| <div class="callout"> | |
| <strong>交错语义(Interleaving):</strong>在任意时刻,恰好只有一个组件(或网络)完成恰好一个步骤。 | |
| 这不是说现实只有一个线程在跑,而是为了推理,把并发转成所有可能的交错顺序。 | |
| </div> | |
| </section> | |
| <section class="card" id="sec-guarantees"> | |
| <h2>4)正确性:Safety / Liveness</h2> | |
| <p class="muted"> | |
| Lamport 的定义将“系统正确性”拆为两类性质:Safety(坏事永不发生)与 Liveness(好事最终发生)。 | |
| 系统正确要求“所有可能行为”都满足这些保证。 | |
| </p> | |
| <div class="callout"> | |
| <strong>事务例子(两参与者 P1 / P2):</strong><br> | |
| Safety:不会出现一方 commit、另一方 abort(防止不一致)。<br> | |
| Liveness:两方最终都会做出决定(commit 或 abort)(防止卡住)。 | |
| </div> | |
| <details> | |
| <summary>把 Safety / Liveness 当成设计评审模板</summary> | |
| <div class="inner"> | |
| <p><strong>先写坏事清单(Safety):</strong>哪些状态是绝对不可出现的?(双主、重复扣款、同一日志 index 提交两个值……)</p> | |
| <p><strong>再写好事清单(Liveness):</strong>在什么前提下,系统最终必须达成什么?(最终选主、最终响应、最终完成复制……)</p> | |
| <p>随后用“可能行为空间(all interleavings / all failures)”去检查你的机制是否覆盖。</p> | |
| </div> | |
| </details> | |
| </section> | |
| <section class="card" id="sec-slo"> | |
| <h2>5)响应性:SLI / SLO / Error Rate / Error Budget</h2> | |
| <p class="muted"> | |
| 作者承认:理论上系统性质可归结为 Safety/Liveness,但工程上谈可扩展性/可靠性,更常用“响应性=满足 SLO 的能力”。 | |
| </p> | |
| <ul class="def"> | |
| <li><strong>SLI</strong>:对系统行为的量化观测(延迟、成功率、正确性信号等)。</li> | |
| <li><strong>SLO</strong>:定义在 SLI 上的谓词(true/false),判断一次观测是否达标。</li> | |
| <li><strong>Error rate</strong>:固定时间窗口内,不达标观测占比。</li> | |
| <li><strong>Error budget</strong>:可接受的错误率上限。</li> | |
| </ul> | |
| <div class="callout good"> | |
| <strong>响应性定义:</strong>把错误率维持在错误预算以下的能力。<br> | |
| <span class="soft">可扩展性:在负载下仍保持响应性;可靠性:在故障下仍保持响应性。</span> | |
| </div> | |
| </section> | |
| <section class="card" id="sec-holon"> | |
| <h2>6)Systems of Systems:Holon / Holarchy</h2> | |
| <p class="muted"> | |
| 软件里“组件”常常不是原子实体,而是子系统;同一对象在不同抽象层次既可视为整体,也可视为更大整体的一部分。 | |
| </p> | |
| <div class="cols"> | |
| <div class="callout"> | |
| <strong>Holon</strong><br> | |
| 既是“自足整体”,又是“更大整体的一部分”。 | |
| </div> | |
| <div class="callout"> | |
| <strong>Holarchy</strong><br> | |
| 由 holon 组成的层级结构(但现实往往更“网状/杂乱”)。 | |
| </div> | |
| </div> | |
| <div class="callout"> | |
| <strong>多租户复制数据库例子:</strong> | |
| 你可以把“集群”当原子(谈可用性/对外行为),也可以把集群展开成 3 节点(谈共识/复制),也可以把“每租户数据库”当原子(谈隔离/配额)。 | |
| 同一系统,不同上下文选择不同抽象边界。 | |
| </div> | |
| </section> | |
| <section class="card" id="sec-global-local"> | |
| <h2>7)全局视角 vs 局部视角</h2> | |
| <p class="muted"> | |
| 全知观察者可见整个系统状态(global view)。系统内组件只见自己的本地状态与网络通道(local view)。 | |
| 想要拼出全局,需要协作与通信,而通信本身不可靠。 | |
| </p> | |
| <div class="svgbox" aria-label="global vs local diagram"> | |
| <svg viewBox="0 0 900 260" width="100%" height="auto" role="img"> | |
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| <text x="235" y="95" fill="rgba(159,176,192,.95)" font-size="13">System state =</text> | |
| <text x="235" y="118" fill="rgba(159,176,192,.95)" font-size="12">(state of C1, C2, …, Cn)</text> | |
| <text x="235" y="140" fill="rgba(159,176,192,.95)" font-size="12">+ network state (in-flight msgs)</text> | |
| <text x="235" y="164" fill="rgba(159,176,192,.95)" font-size="12">+ timers / environment …</text> | |
| <text x="520" y="48" fill="rgba(230,237,243,.95)" font-size="15" font-weight="700">Local view(系统内组件)</text> | |
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| <text x="540" y="174" fill="rgba(159,176,192,.95)" font-size="12">• its channel to network</text> | |
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| <path d="M 150 110 C 190 110, 200 110, 220 110" fill="none" stroke="rgba(124,196,255,.45)" stroke-width="3"/> | |
| <path d="M 690 140 C 710 140, 710 140, 710 140" fill="none" stroke="rgba(154,255,214,.0)" stroke-width="3"/> | |
| <path d="M 690 140 C 710 140, 705 140, 710 140" fill="none" stroke="rgba(124,196,255,.35)" stroke-width="3"/> | |
| <path d="M 690 140 C 700 140, 705 140, 710 140" fill="none" stroke="rgba(124,196,255,.35)" stroke-width="3"/> | |
| <path d="M 690 140 C 700 140, 705 140, 710 140" fill="none" stroke="rgba(124,196,255,.35)" stroke-width="3"/> | |
| <text x="520" y="232" fill="rgba(159,176,192,.95)" font-size="12"> | |
| 核心挑战:thinking globally while acting locally(全局思考,局部行动) | |
| </text> | |
| </svg> | |
| </div> | |
| <div class="callout warn"> | |
| <strong>关键直觉:</strong>“C1 给 C2 发消息”在模型里更准确地说是:C1 把一条写着 C2 地址的消息交给网络/系统,其后是否送达、何时送达、送达几次,C1 无法直接控制。 | |
| </div> | |
| </section> | |
| <section class="card" id="sec-inc"> | |
| <h2>8)Distributed Systems Incorporated:办公楼类比</h2> | |
| <p class="muted"> | |
| 用一栋办公楼把抽象的分布式系统变得可触摸:房间=组件,气动管=网络,邮箱=系统外部接口。 | |
| </p> | |
| <div class="svgbox" aria-label="building analogy diagram"> | |
| <svg viewBox="0 0 900 300" width="100%" height="auto" role="img"> | |
| <rect x="20" y="20" width="620" height="260" rx="18" fill="rgba(255,255,255,.03)" stroke="rgba(255,255,255,.10)"/> | |
| <text x="40" y="52" fill="rgba(230,237,243,.95)" font-size="15" font-weight="700">System (Office building)</text> | |
| <!-- rooms --> | |
| <g> | |
| <rect x="50" y="80" width="150" height="85" rx="14" fill="rgba(17,24,38,.70)" stroke="rgba(255,255,255,.12)"/> | |
| <text x="125" y="112" text-anchor="middle" fill="rgba(230,237,243,.95)" font-size="12" font-family="ui-monospace">Room C1</text> | |
| <text x="125" y="136" text-anchor="middle" fill="rgba(159,176,192,.95)" font-size="11">local state</text> | |
| </g> | |
| <g> | |
| <rect x="230" y="80" width="150" height="85" rx="14" fill="rgba(17,24,38,.70)" stroke="rgba(255,255,255,.12)"/> | |
| <text x="305" y="112" text-anchor="middle" fill="rgba(230,237,243,.95)" font-size="12" font-family="ui-monospace">Room C2</text> | |
| <text x="305" y="136" text-anchor="middle" fill="rgba(159,176,192,.95)" font-size="11">local state</text> | |
| </g> | |
| <g> | |
| <rect x="410" y="80" width="150" height="85" rx="14" fill="rgba(17,24,38,.70)" stroke="rgba(255,255,255,.12)"/> | |
| <text x="485" y="112" text-anchor="middle" fill="rgba(230,237,243,.95)" font-size="12" font-family="ui-monospace">Room C3</text> | |
| <text x="485" y="136" text-anchor="middle" fill="rgba(159,176,192,.95)" font-size="11">local state</text> | |
| </g> | |
| <!-- mailroom + tubes --> | |
| <rect x="155" y="190" width="300" height="70" rx="14" fill="rgba(0,0,0,.22)" stroke="rgba(255,255,255,.10)"/> | |
| <text x="305" y="220" text-anchor="middle" fill="rgba(230,237,243,.95)" font-size="12" font-family="ui-monospace">Mailroom / Network</text> | |
| <text x="305" y="242" text-anchor="middle" fill="rgba(159,176,192,.95)" font-size="11">drop • duplicate • reorder • delay</text> | |
| <!-- tubes --> | |
| <path d="M 125 165 C 140 185, 160 195, 200 205" fill="none" stroke="rgba(124,196,255,.35)" stroke-width="3"/> | |
| <path d="M 305 165 C 305 185, 305 190, 305 190" fill="none" stroke="rgba(124,196,255,.35)" stroke-width="3"/> | |
| <path d="M 485 165 C 470 185, 450 195, 410 205" fill="none" stroke="rgba(124,196,255,.35)" stroke-width="3"/> | |
| <!-- mailbox external --> | |
| <rect x="690" y="40" width="190" height="240" rx="18" fill="rgba(255,255,255,.03)" stroke="rgba(255,255,255,.10)"/> | |
| <text x="705" y="70" fill="rgba(230,237,243,.95)" font-size="15" font-weight="700">External interface</text> | |
| <rect x="720" y="95" width="130" height="90" rx="14" fill="rgba(17,24,38,.70)" stroke="rgba(255,255,255,.12)"/> | |
| <text x="785" y="128" text-anchor="middle" fill="rgba(230,237,243,.95)" font-size="12" font-family="ui-monospace">Mailbox</text> | |
| <text x="785" y="150" text-anchor="middle" fill="rgba(159,176,192,.95)" font-size="11">ingress / egress</text> | |
| <text x="785" y="210" text-anchor="middle" fill="rgba(159,176,192,.95)" font-size="11">world ⇄ system</text> | |
| <!-- connection --> | |
| <path d="M 640 150 C 660 150, 670 150, 690 150" fill="none" stroke="rgba(154,255,214,.35)" stroke-width="3"/> | |
| <polygon points="685,145 695,150 685,155" fill="rgba(154,255,214,.55)"/> | |
| <text x="40" y="286" fill="rgba(159,176,192,.95)" font-size="12">可用来推演:节点故障(短暂/间歇/永久)与消息语义(丢/重/乱序)</text> | |
| </svg> | |
| </div> | |
| <div class="cols"> | |
| <div class="callout"> | |
| <strong>Crash semantics(崩溃语义)</strong><br> | |
| 短暂缺席(transient) / 间歇缺席(intermittent) / 永久离开(permanent)。 | |
| </div> | |
| <div class="callout"> | |
| <strong>Message-delivery semantics(投递语义)</strong><br> | |
| 丢失(lost) / 重复(duplicate) / 乱序(reordered)。 | |
| </div> | |
| </div> | |
| <div class="callout warn"> | |
| <strong>经典不确定性:</strong>请求没响应时,无法区分“请求丢了”与“响应丢了”。重试提升活性,但引入重复风险;需要幂等/去重等手段保安全性。 | |
| </div> | |
| </section> | |
| <section class="card" id="sec-race"> | |
| <h2>9)在代码之上:交错模型与竞态</h2> | |
| <p class="muted"> | |
| 作者刻意减少代码示例,因为静态片段容易把复杂系统说窄。用极简模型:进程=原子动作序列;并发=所有交错集合;竞态=其中一部分交错被判为不正确。 | |
| </p> | |
| <pre><code>Process P = a, b, c | |
| Process Q = x, y, z | |
| Concurrent composition: (P | Q) | |
| = set of all interleavings of actions from P and Q | |
| Race condition: | |
| some subset of (P | Q) is considered incorrect</code></pre> | |
| <div class="callout"> | |
| <strong>你是正确性的仲裁者:</strong>哪些交错是“允许的”,来自你的规范与目标(application-specific)。 | |
| 同一套交错,在不同业务里可被判为可容忍或不可容忍。 | |
| </div> | |
| <details> | |
| <summary>把竞态统一到分布式系统</summary> | |
| <div class="inner"> | |
| <p>把“原子动作”从线程级提升到系统级:发送消息、处理消息并更新状态、写日志并返回……并发交错就变成“消息/步骤的各种顺序”。</p> | |
| <p>很多分布式 bug 本质上是“坏交错”导致不变式破坏;解决通常是:版本号/任期/租约/幂等/去重/仲裁规则,把坏交错排除或钝化。</p> | |
| </div> | |
| </details> | |
| </section> | |
| <section class="card" id="sec-db"> | |
| <h2>10)数据库例子:并发等价于串行</h2> | |
| <p class="muted"> | |
| 数据库常用的正确性直觉:并发执行 (P | Q) 只要“看起来等价于某个串行顺序”,就被认为正确。 | |
| </p> | |
| <div class="cols"> | |
| <div class="callout good"> | |
| <strong>(P • Q)</strong><br> | |
| 串行组合:先执行 P,再执行 Q。 | |
| </div> | |
| <div class="callout good"> | |
| <strong>(Q • P)</strong><br> | |
| 串行组合:先执行 Q,再执行 P。 | |
| </div> | |
| </div> | |
| <div class="callout warn"> | |
| <strong>注意“等价”的观测维度:</strong>你比较的是最终状态?对外返回?还是中间可见性?不同隔离级别对应不同等价定义。 | |
| </div> | |
| </section> | |
| <section class="card" id="sec-summary"> | |
| <h2>11)本章要点速记</h2> | |
| <ul class="def"> | |
| <li><strong>心智模型</strong>是理解与沟通的基础:系统=事实集合;模型=我们认为的事实集合。</li> | |
| <li><strong>好模型</strong>既正确又完备;完备性由“相关事实”决定,相关性依赖应用语境。</li> | |
| <li><strong>分布式系统</strong>是一组并发组件,通过网络收发消息通信;网络与组件都可视作有状态。</li> | |
| <li><strong>设计难点</strong>:全局目标靠局部算法实现;局部视角下信息受限,且消息/故障带来不确定性。</li> | |
| <li><strong>正确性</strong>用 Safety(坏事永不发生)与 Liveness(好事最终发生)推理。</li> | |
| <li><strong>响应性</strong>用 SLI/SLO/错误率/错误预算推理;可扩展性=负载下响应;可靠性=故障下响应。</li> | |
| <li><strong>Systems of Systems</strong>:用 holon/holarchy 在不同抽象层次折叠/展开系统边界。</li> | |
| <li><strong>公司类比</strong>帮助推演:节点故障(短暂/间歇/永久)与消息语义(丢/重/乱序)。</li> | |
| <li><strong>在代码之上</strong>:并发=交错集合;竞态=部分交错不被允许;数据库并发常以“等价串行”定义正确。</li> | |
| </ul> | |
| <div class="callout"> | |
| <strong>一句话收束:</strong>用合适的心智模型,把“系统的保证”说清楚;然后在局部信息与不可靠通信的现实里,设计机制让全局保证成立。 | |
| </div> | |
| <p style="margin:14px 0 0"><a href="#top">↑ 回到顶部</a></p> | |
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| <footer> | |
| <div>分布式系统思维 · 第1章网页笔记(根据对话内容整理)</div> | |
| <div class="soft">可直接复制本 HTML 到本地文件打开,或贴到内部文档系统做进一步迭代。</div> | |
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| <div> | |
| <h1>第2章学习页</h1> | |
| <p>System models · Order · Time</p> | |
| </div> | |
| </div> | |
| <nav class="toc" aria-label="目录"> | |
| <h2>目录</h2> | |
| <a href="#overview">总览与学习目标</a> | |
| <a href="#models">2.1 系统模型</a> | |
| <a href="#sync-async">同步 / 异步 / 部分同步</a> | |
| <a href="#failures">组件与网络故障模型</a> | |
| <a href="#realistic">现实系统模型(默认假设)</a> | |
| <a href="#order">2.2 顺序与时间</a> | |
| <a href="#race">Aha:竞态条件定义</a> | |
| <a href="#happened-before">2.2.1 happened-before</a> | |
| <a href="#concurrency">Aha:并发 vs 并行</a> | |
| <a href="#clocks">2.2.2 时间与时钟一致性</a> | |
| <a href="#physical">2.2.3 物理时钟</a> | |
| <a href="#tod-monotonic">墙钟 vs 单调时钟</a> | |
| <a href="#logical">2.2.4 逻辑时钟</a> | |
| <a href="#examples">Kafka / etcd:逻辑时钟的影子</a> | |
| <a href="#together">2.2.5 物理 vs 逻辑如何协作</a> | |
| <a href="#flashcards">速记卡片</a> | |
| <a href="#quiz">自测题</a> | |
| </nav> | |
| <div class="mini"> | |
| <div class="pillrow"> | |
| <span class="pill">默认系统模型:部分同步</span> | |
| <span class="pill">unreliable network</span> | |
| <span class="pill">happened-before</span> | |
| <span class="pill">Lamport clock</span> | |
| <span class="pill">time-of-day / monotonic</span> | |
| </div> | |
| <div class="callout warn"> | |
| <div class="title"><span class="badge">提示</span>学习方式</div> | |
| <div class="muted">先掌握“系统模型的假设”,再看“顺序如何被建立”。后面很多章节都在复用这套骨架。</div> | |
| </div> | |
| </div> | |
| </aside> | |
| <main class="content"> | |
| <section class="hero" id="overview"> | |
| <h1>Think Distributed Systems · 第2章:系统模型、顺序与时间</h1> | |
| <p>本页把你在对话中逐段翻译与注释的内容,和书中第2章的结构串成一条学习路径:先建立“系统模型”的边界,再用“顺序/时间/时钟”理解分布式的正确性与因果。</p> | |
| <div class="meta"> | |
| <span class="pill">学习目标:能说清你依赖的假设</span> | |
| <span class="pill">学习目标:用 happened-before 推理因果</span> | |
| <span class="pill">学习目标:知道何时用物理钟、何时用逻辑钟</span> | |
| </div> | |
| </section> | |
| <section class="card" id="models"> | |
| <h2>2.1 系统模型(System models)</h2> | |
| <p>分布式算法/协议的正确性依赖前提条件。系统模型就是这些前提条件的集合,通常覆盖三类:组件(components)、网络(network)、时序行为(timing behavior)。同一个协议在某个系统模型下正确,换一套假设可能立刻失效。</p> | |
| <div class="callout aha"> | |
| <div class="title"><span class="badge">Aha</span>桌游类比(Board game)</div> | |
| <div class="muted">系统模型像桌游规则:规则定义舞台与约束,玩家(协议)在规则内制定策略。规则稍改,策略可能失效。</div> | |
| </div> | |
| <h3>2.1.1 理论与实践</h3> | |
| <div class="grid2"> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">理论模型</span>推理“不可能”</div> | |
| <div class="muted">关注可解性与上下界:是否存在解?最少需要多少消息/组件?</div> | |
| </div> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">实践模型</span>推理“可行”</div> | |
| <div class="muted">关注成本与属性:开发/运维成本、扩展性、可靠性等。</div> | |
| </div> | |
| </div> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">交集</span>理论与实践都关心</div> | |
| <div class="muted">典型就是共识算法背后的系统模型(Viewstamped Replication / Paxos / Raft)。</div> | |
| </div> | |
| <details> | |
| <summary>表:系统模型假设示例(书中 Table 2.1 的要点)</summary> | |
| <table class="table" role="table"> | |
| <thead><tr><th>维度</th><th>一种系统模型</th><th>另一种系统模型</th></tr></thead> | |
| <tbody> | |
| <tr><td>组件</td><td>组件不会失败</td><td>组件可能失败</td></tr> | |
| <tr><td>网络</td><td>消息不会丢失</td><td>消息可能丢失</td></tr> | |
| <tr><td>时钟</td><td>时钟完美同步</td><td>时钟不同步</td></tr> | |
| </tbody> | |
| </table> | |
| </details> | |
| </section> | |
| <section class="card" id="sync-async"> | |
| <h2>同步 / 异步 / 部分同步</h2> | |
| <p>这些术语核心在于“时间假设”。同步系统有明确的时序保证;异步系统缺少时序保证;部分同步介于两者之间,更贴近现实。</p> | |
| <div class="grid2"> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">同步(Synchronous)</span>强物理时间</div> | |
| <div class="muted">事件严格按时间展开,或延迟有已知上界。超时可以携带更强语义。</div> | |
| </div> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">异步(Asynchronous)</span>无上界</div> | |
| <div class="muted">消息没到时信息不足:可能失败,也可能只是延迟。尤其在“无时间概念”模型中,timeout 也不可用。</div> | |
| </div> | |
| </div> | |
| <details> | |
| <summary>异步的两种“时间强度”</summary> | |
| <div class="kvs"> | |
| <div class="k">no notion of time</div> | |
| <div>组件无法访问任何时钟;事件延迟任意。显著后果:无法使用 timeout(因此失败检测与缓解机制受限)。</div> | |
| <div class="k">weak notion of time</div> | |
| <div>组件有本地时钟,但与他人不同步、偏差未知;事件延迟仍任意。显著后果:可以使用 timeout(但 timeout 不等价于“确认失败”)。</div> | |
| </div> | |
| </details> | |
| <div class="callout aha"> | |
| <div class="title"><span class="badge">Aha</span>部分同步(Partially synchronous)</div> | |
| <div class="muted">现实系统往往“多数时候像同步,偶尔像异步”。典型设计思路:同步阶段尽量满足 safety + liveness;异步阶段优先 safety,允许 liveness 暂时下降。</div> | |
| </div> | |
| <div class="diagram" aria-label="同步到异步的示意"> | |
| <svg viewBox="0 0 900 120" role="img"> | |
| <defs> | |
| <linearGradient id="g" x1="0" y1="0" x2="1" y2="0"> | |
| <stop offset="0" stop-color="rgba(122,162,255,.85)"/> | |
| <stop offset="1" stop-color="rgba(168,255,234,.75)"/> | |
| </linearGradient> | |
| </defs> | |
| <rect x="20" y="40" width="860" height="18" rx="9" fill="rgba(255,255,255,.08)" stroke="rgba(255,255,255,.12)" /> | |
| <rect x="20" y="40" width="520" height="18" rx="9" fill="url(#g)" opacity=".55" /> | |
| <circle cx="120" cy="49" r="8" fill="rgba(122,162,255,.85)" /> | |
| <circle cx="450" cy="49" r="8" fill="rgba(168,255,234,.70)" /> | |
| <circle cx="780" cy="49" r="8" fill="rgba(255,255,255,.35)" /> | |
| <text x="80" y="30" fill="rgba(233,236,255,.9)" font-size="13">同步模型(强时序保证)</text> | |
| <text x="410" y="30" fill="rgba(233,236,255,.9)" font-size="13">部分同步(现实常见)</text> | |
| <text x="740" y="30" fill="rgba(233,236,255,.9)" font-size="13">异步模型(无时序保证)</text> | |
| </svg> | |
| </div> | |
| </section> | |
| <section class="card" id="failures"> | |
| <h2>2.1.5 组件与网络故障模型</h2> | |
| <p>组件与网络常用“失败行为”刻画。第3章会系统讨论 failure,这里先掌握分类与直觉即可。</p> | |
| <h3>组件故障(component failure)</h3> | |
| <table class="table" role="table"> | |
| <thead><tr><th>模型</th><th>含义(抓重点)</th><th>工程直觉</th></tr></thead> | |
| <tbody> | |
| <tr> | |
| <td><b>Crash-Stop</b></td> | |
| <td>任意时刻停止,并且永远不再执行任何步骤。</td> | |
| <td>进程/机器永久离开;协议可以把它当作“消失”。</td> | |
| </tr> | |
| <tr> | |
| <td><b>Omission</b></td> | |
| <td>任意时刻停摆一段任意时长,之后从原状态继续。</td> | |
| <td>长时间 GC、调度饿死、I/O 卡住后恢复;外部观感像“失联”。</td> | |
| </tr> | |
| <tr> | |
| <td><b>Crash-Recovery</b></td> | |
| <td>停摆后恢复运行,但可能丢失状态(易失/部分或全部内存)。</td> | |
| <td>重启后忘记了某些事;常需要 stable storage、term/epoch、去重/幂等。</td> | |
| </tr> | |
| <tr> | |
| <td><b>Byzantine</b></td> | |
| <td>任意行为,包含欺骗,可能故意偏离算法。</td> | |
| <td>对抗环境(区块链等)才常建模;成本更高(BFT、签名、阈值)。</td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| <h3>网络故障(network failure)</h3> | |
| <table class="table" role="table"> | |
| <thead><tr><th>模型</th><th>含义</th><th>常见应对</th></tr></thead> | |
| <tbody> | |
| <tr> | |
| <td><b>Reordering</b></td> | |
| <td>交付顺序不同于发送/接收顺序。</td> | |
| <td>序号重排、按序缓冲(类似 TCP seq)。</td> | |
| </tr> | |
| <tr> | |
| <td><b>Duplication</b></td> | |
| <td>同一消息可能被交付多次。</td> | |
| <td>request id、去重窗口、幂等执行。</td> | |
| </tr> | |
| <tr> | |
| <td><b>Loss</b></td> | |
| <td>消息可能永远不被交付。</td> | |
| <td>超时+重试、ACK/重传、退避与限流。</td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| <div class="callout warn"> | |
| <div class="title"><span class="badge">默认前提</span>网络通常“不会撒谎”</div> | |
| <div class="muted">交付到你的消息,默认来自系统内某个组件。若要考虑伪造/篡改/注入,语境会转向安全与拜占庭。</div> | |
| </div> | |
| </section> | |
| <section class="card" id="realistic"> | |
| <h2>2.1.6 现实系统模型(Realistic system models)</h2> | |
| <p>把前面各维度组合起来,书中给出一个很实用的默认模型:</p> | |
| <div class="callout aha"> | |
| <div class="title"><span class="badge">默认模型</span>部分同步 + 崩溃/暂停/崩溃恢复 + 不可靠网络</div> | |
| <div class="muted">系统多数时候像同步,偶尔像异步;组件可能 Crash-Stop / Omission / Crash-Recovery;网络可能乱序/丢失/重复。书中大体忽略 Byzantine(在加密货币等领域更相关)。</div> | |
| </div> | |
| <details> | |
| <summary>volatile vs durable:为什么在崩溃恢复里这么关键?</summary> | |
| <p class="muted">Crash-Recovery 里“会忘记什么、会记住什么”直接影响协议安全性:关键元数据如果只在内存里,重启后可能导致重复投票、旧 leader 复活、历史被重写等。许多共识/复制协议要求把部分状态写入稳定存储(durable)。</p> | |
| </details> | |
| </section> | |
| <section class="card" id="order"> | |
| <h2>2.2 顺序与时间(Order and time)</h2> | |
| <p>分布式系统不只是通信,还在协作与协调:管理组件步骤之间的依赖关系。很多动作不满足交换律,顺序不同结果不同,因此必须建立“正确的动作顺序”。</p> | |
| <h3>算术操作示例:顺序会改变结果</h3> | |
| <p class="muted">两个 proposer(P1、P2)向两个 acceptor(A1、A2)广播操作(+2 或 ×2)。acceptor 按接收顺序对本地状态执行。若操作不可交换,A1 与 A2 可能产生分叉。</p> | |
| <div class="diagram" aria-label="操作顺序影响结果的示意"> | |
| <svg viewBox="0 0 900 220" role="img"> | |
| <rect x="20" y="20" width="860" height="180" rx="14" fill="rgba(0,0,0,.10)" stroke="rgba(255,255,255,.10)"/> | |
| <text x="40" y="55" fill="rgba(233,236,255,.9)" font-size="14">从 0 开始:同一组操作,不同顺序 → 不同结果</text> | |
| <rect x="40" y="80" width="380" height="90" rx="12" fill="rgba(122,162,255,.10)" stroke="rgba(122,162,255,.28)"/> | |
| <text x="58" y="110" fill="rgba(233,236,255,.92)" font-size="13">A1 先收到 +2 再收到 ×2</text> | |
| <text x="58" y="138" fill="rgba(185,195,255,.9)" font-size="12">(0 + 2) × 2 = 4</text> | |
| <rect x="480" y="80" width="380" height="90" rx="12" fill="rgba(168,255,234,.08)" stroke="rgba(168,255,234,.28)"/> | |
| <text x="498" y="110" fill="rgba(233,236,255,.92)" font-size="13">A2 先收到 ×2 再收到 +2</text> | |
| <text x="498" y="138" fill="rgba(185,195,255,.9)" font-size="12">(0 × 2) + 2 = 2</text> | |
| <text x="40" y="192" fill="rgba(185,195,255,.9)" font-size="12">结论:需要一种机制,让所有 acceptor 采用同一个顺序(哪种顺序都行,关键在“一致”)。</text> | |
| </svg> | |
| </div> | |
| <h3>引入协调者 C:用 tag 建立一致顺序</h3> | |
| <p class="muted">让 P1、P2 把请求先发给协调者 C。C 为每个请求打 tag(递增序号)并广播给 A1、A2。A1、A2 按 tag 重排后再应用,从而抵抗网络乱序。</p> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">看法</span>“真先后”不重要</div> | |
| <div class="muted">P1、P2 同时发起时,系统里缺少所有人都能一致认可的先后依据。C 基于自己观察到的到达顺序做决定,并把决定编码进 tag,让大家共享同一条时间线。</div> | |
| </div> | |
| </section> | |
| <section class="card" id="race"> | |
| <h2>Aha:竞态条件(Race conditions)的抽象定义</h2> | |
| <p>本书给了一个很好用的定义:系统存在多种可能执行,其中一些执行被认为正确,另一些被认为不正确,就说系统包含竞态条件。</p> | |
| <div class="callout aha"> | |
| <div class="title"><span class="badge">定义</span>Race condition</div> | |
| <div class="muted">multiple possible executions + correctness depends on which execution occurred。</div> | |
| </div> | |
| <details> | |
| <summary>为什么“只允许 +n 或只允许 ×n”时不算竞态?</summary> | |
| <p class="muted">因为同类操作在这里可交换,交付顺序不改变结果。允许混合(+n 与 ×n)后,只有某些交付顺序能让所有副本一致,于是正确性依赖执行路径,竞态出现。</p> | |
| </details> | |
| </section> | |
| <section class="card" id="happened-before"> | |
| <h2>2.2.1 happened-before(先发生关系)</h2> | |
| <p>Lamport 在 1978 经典论文里提出 happened-before,用来形式化事件的先后与因果。</p> | |
| <h3>两条基本规则</h3> | |
| <table class="table" role="table"> | |
| <thead><tr><th>关系</th><th>条件</th><th>记号</th></tr></thead> | |
| <tbody> | |
| <tr> | |
| <td>组件内(intracomponent)</td> | |
| <td>同一组件上,事件 a 发生在 b 之前</td> | |
| <td>a → b</td> | |
| </tr> | |
| <tr> | |
| <td>组件间(intercomponent)</td> | |
| <td>a 是发送消息,b 是对应接收消息</td> | |
| <td>a → b</td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| <h3>偏序、并发、传递性</h3> | |
| <div class="grid2"> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">偏序</span>partial order</div> | |
| <div class="muted">对任意 a、b:a→b、b→a、或并发 a||b。</div> | |
| </div> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">传递性</span>transitivity</div> | |
| <div class="muted">a→b 且 b→c,则 a→c。</div> | |
| </div> | |
| </div> | |
| <div class="callout warn"> | |
| <div class="title"><span class="badge">因果</span>causality 的含义</div> | |
| <div class="muted">“因果”表示潜在影响(potentially influenced),不要求实际影响发生。思考系统时,要警惕设计是否可能违背这种因果约束。</div> | |
| </div> | |
| </section> | |
| <section class="card" id="concurrency"> | |
| <h2>Aha:并发(Concurrency) vs 并行(Parallelism)</h2> | |
| <p>借助 happened-before 可以给出清晰定义。并发由逻辑时间决定;并行由物理时间决定。</p> | |
| <details> | |
| <summary>先解决一个“对象不匹配”</summary> | |
| <p class="muted">并发以“事件”(瞬间)定义;并行以“操作”(时间段)定义。把操作看成开始事件 + 结束事件,就能在同一框架下讨论。</p> | |
| </details> | |
| <div class="grid2"> | |
| <div class="callout aha"> | |
| <div class="title"><span class="badge">并发</span>逻辑关系</div> | |
| <div class="muted">事件 a、b 并发:a↛b 且 b↛a。扩展到操作:彼此都无法证明“一个完全在另一个之前”。</div> | |
| </div> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">并行</span>物理重叠</div> | |
| <div class="muted">两个操作在物理时间上区间重叠。受 CPU/线程/核数等资源影响。</div> | |
| </div> | |
| </div> | |
| <div class="diagram" aria-label="并发与并行示意"> | |
| <svg viewBox="0 0 900 160" role="img"> | |
| <rect x="20" y="20" width="860" height="120" rx="14" fill="rgba(0,0,0,.10)" stroke="rgba(255,255,255,.10)"/> | |
| <text x="40" y="50" fill="rgba(233,236,255,.92)" font-size="13">并发:用 happened-before 判断;并行:看物理时间是否重叠</text> | |
| <text x="40" y="78" fill="rgba(185,195,255,.9)" font-size="12">o1</text> | |
| <rect x="70" y="68" width="260" height="16" rx="8" fill="rgba(122,162,255,.35)" /> | |
| <text x="40" y="108" fill="rgba(185,195,255,.9)" font-size="12">o2</text> | |
| <rect x="160" y="98" width="260" height="16" rx="8" fill="rgba(168,255,234,.32)" /> | |
| <text x="450" y="92" fill="rgba(185,195,255,.9)" font-size="12">这是一种“部分并行”</text> | |
| <text x="40" y="138" fill="rgba(185,195,255,.85)" font-size="12">逻辑并发不要求物理同时发生;它关心“能否推出先后”。</text> | |
| </svg> | |
| </div> | |
| </section> | |
| <section class="card" id="clocks"> | |
| <h2>2.2.2 时间与时钟一致性</h2> | |
| <p>系统需要“捕捉顺序”。常见方式是给事件打时间戳。若想让时间戳用于排序,时钟要满足一致性(clock consistency):</p> | |
| <pre><code>a → b ⇒ C(a) < C(b)</code></pre> | |
| <p class="muted">它要求:因果上更早的事件,必须拥有更小时间戳。注意该条件只规定 a→b 时的约束,不能用时间戳大小反推出因果。</p> | |
| </section> | |
| <section class="card" id="physical"> | |
| <h2>2.2.3 物理时间与物理时钟</h2> | |
| <p>物理时钟用物理时间给事件打时间戳。分布式场景里,跨机器比较时间戳会遇到时钟偏斜(clock skew)与漂移(clock drift),再加上同步带来的回拨/跳变,排序一致性会被破坏。</p> | |
| <div class="callout aha"> | |
| <div class="title"><span class="badge">Aha</span>挂钟(Wall clock)</div> | |
| <div class="muted">全知观察者可以假设一个完美挂钟作为参考。现实组件只能访问本地不完美的物理钟。挂钟用于讨论“参考真值”与误差来源。</div> | |
| </div> | |
| <div class="grid2"> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">clock skew</span>固定偏移</div> | |
| <div class="muted">两块钟起点不同,之后保持固定差值。</div> | |
| </div> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">clock drift</span>走时速度不同</div> | |
| <div class="muted">起点相同,随着时间逐渐偏离。</div> | |
| </div> | |
| </div> | |
| <details> | |
| <summary>缓解:NTP 的直觉(书中简化版解释)</summary> | |
| <p class="muted">通过同步协议(如 NTP)让 client 向 server 的时间读数靠近,以减轻 skew 与 drift 的影响。真实实现还会估计网络延迟与抖动。</p> | |
| </details> | |
| </section> | |
| <section class="card" id="tod-monotonic"> | |
| <h2>墙钟时间(time-of-day) vs 单调时钟(monotonic)</h2> | |
| <p>校时可能导致时间倒退。为此,系统通常提供两类时钟:</p> | |
| <table class="table" role="table"> | |
| <thead><tr><th>类型</th><th>目标</th><th>性质</th><th>适用场景</th></tr></thead> | |
| <tbody> | |
| <tr> | |
| <td><b>time-of-day</b></td> | |
| <td>尽量接近挂钟时间</td> | |
| <td>可能回拨;甚至同机自比较也可能违反一致性</td> | |
| <td>日志展示、业务日期语义、对外协议字段</td> | |
| </tr> | |
| <tr> | |
| <td><b>monotonic</b></td> | |
| <td>可靠表示“流逝”</td> | |
| <td>不回拨;同机自比较保证一致性</td> | |
| <td>超时、间隔测量、重试退避、性能计时</td> | |
| </tr> | |
| </tbody> | |
| </table> | |
| <pre><code>// Listing 2.1(书中伪代码风格) | |
| // Time of day clock | |
| var timestamp1 = System.TimeOfDay | |
| var timestamp2 = System.TimeOfDay | |
| // Monotonic clock | |
| var timestamp3 = System.Monotonic | |
| var timestamp4 = System.Monotonic</code></pre> | |
| <div class="callout warn"> | |
| <div class="title"><span class="badge">结论</span>monotonic 只能组件内比较</div> | |
| <div class="muted">单调时钟不依赖墙钟时间,不同机器之间缺少共同参考点,因此只适合 intracomponent 的“持续时间”计算。</div> | |
| </div> | |
| </section> | |
| <section class="card" id="logical"> | |
| <h2>2.2.4 逻辑时间与逻辑时钟</h2> | |
| <p>Lamport 提出逻辑时间/逻辑时钟,用 happened-before 来排序事件。逻辑时钟用逻辑时间给事件打时间戳,目标是让因果相关事件获得严格递增的时间戳。</p> | |
| <h3>Lamport clock(机制要点)</h3> | |
| <ol class="muted"> | |
| <li>每个组件维护一个计数器,发生一次内部或外部事件就递增。</li> | |
| <li>事件时间戳取当前计数器值。</li> | |
| <li>发送消息时附带时间戳。</li> | |
| <li>接收方更新:<code>LC = max(LC, received) + 1</code>。</li> | |
| </ol> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">保证</span>尊重因果</div> | |
| <div class="muted">若 a→b,则 L(a) < L(b)。但 L(a) < L(b) 无法反推出 a→b(它会把许多并发事件也排出先后)。</div> | |
| </div> | |
| <details> | |
| <summary>作者的工程感:Lamport clock 有名,但不一定显式实现</summary> | |
| <p class="muted">书中提到:Lamport clock 广为人知,但未必在工程中以“专门组件”出现。更多时候你会看到它的变体(序号、offset、log index、版本号等)。</p> | |
| </details> | |
| </section> | |
| <section class="card" id="examples"> | |
| <h2>Kafka / etcd:逻辑时钟的“影子”</h2> | |
| <p>把“逻辑时钟”当成一种模式,你会在很多系统里看到它的投影。</p> | |
| <div class="grid2"> | |
| <div class="callout aha"> | |
| <div class="title"><span class="badge">Kafka</span>partition = 逻辑时钟</div> | |
| <div class="muted">同一 partition 内消息有序:offset 单调递增,尊重 intrapartition 的 happened-before。跨 partition 的 offset 不可比较(不同“时钟域”)。</div> | |
| </div> | |
| <div class="callout aha"> | |
| <div class="title"><span class="badge">etcd</span>key = 逻辑时钟</div> | |
| <div class="muted">每个 key 有序列号:更新递增,支持 CAS。跨 key 的序列号不可比较。</div> | |
| </div> | |
| </div> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">眯眼看</span>识别逻辑时钟的两问</div> | |
| <div class="muted"> | |
| 1)它是否在某个范围内提供单调递增编号?(分区内、key 内、leader 任期内、日志流内)<br/> | |
| 2)它是否用于表达顺序/进度/条件更新?(消费进度、CAS 条件、重放恢复、冲突解决) | |
| </div> | |
| </div> | |
| </section> | |
| <section class="card" id="together"> | |
| <h2>2.2.5 物理时钟 vs 逻辑时钟:如何协作</h2> | |
| <p>两类时钟经常搭配使用:物理时钟用来测量组件内事件间隔;逻辑时钟用来建立跨组件事件顺序。</p> | |
| <div class="grid2"> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">物理时钟</span>duration / timeout</div> | |
| <div class="muted">超时、重试、退避、窗口、性能计时。优先使用 monotonic,避免回拨影响。</div> | |
| </div> | |
| <div class="callout"> | |
| <div class="title"><span class="badge">逻辑时钟</span>order / causality</div> | |
| <div class="muted">因果顺序、版本、日志索引、任期、全序或偏序视图。物理钟不同步时仍能保持一致的因果顺序。</div> | |
| </div> | |
| </div> | |
| <div class="callout warn"> | |
| <div class="title"><span class="badge">踩坑提醒</span>跨机器用物理时间排序要谨慎</div> | |
| <div class="muted">若把物理时间当作正确性依据,需明确误差界与违背时的处理策略;很多系统只把它用于“展示/近似排序”,把正确性建立在逻辑顺序上。</div> | |
| </div> | |
| </section> | |
| <section class="card" id="flashcards"> | |
| <h2>速记卡片(Flashcards)</h2> | |
| <details open> | |
| <summary>系统模型</summary> | |
| <ul class="muted"> | |
| <li>系统模型 = 关于组件/网络/时序的假设集合;算法正确性依赖它。</li> | |
| <li>部分同步是现实默认:多数时候同步,偶尔异步。</li> | |
| </ul> | |
| </details> | |
| <details> | |
| <summary>竞态条件</summary> | |
| <ul class="muted"> | |
| <li>存在多种可能执行,其中一些正确、一些错误。</li> | |
| <li>常见化解路径:减少可执行路径(协调/共识/串行化)或扩大“正确集合”(幂等/可交换/可合并)。</li> | |
| </ul> | |
| </details> | |
| <details> | |
| <summary>happened-before</summary> | |
| <ul class="muted"> | |
| <li>组件内顺序 + 发送→接收 + 传递性 ⇒ 因果偏序。</li> | |
| <li>a||b 表示并发:因果上无法推出先后。</li> | |
| </ul> | |
| </details> | |
| <details> | |
| <summary>时钟与一致性</summary> | |
| <ul class="muted"> | |
| <li>一致性:a→b ⇒ C(a)<C(b)。</li> | |
| <li>物理钟:受 skew/drift/同步回拨影响;单调钟适合 duration。</li> | |
| <li>逻辑钟:尊重因果;Lamport clock 用 max(received, local)+1 合并。</li> | |
| </ul> | |
| </details> | |
| </section> | |
| <section class="card" id="quiz"> | |
| <h2>自测题(即时反馈)</h2> | |
| <p class="muted">选完后会立刻给出解释。建议做完再回头看对应小节。</p> | |
| <div class="quiz" data-quiz> | |
| <div class="q" data-answer="b"> | |
| <h4>1)当你看到“异步系统”这个词,第一步应该做什么?</h4> | |
| <label><input type="radio" name="q1" value="a"/> 直接认为“没有超时可用”</label> | |
| <label><input type="radio" name="q1" value="b"/> 先确认该模型对“时间”的假设强度(无时间/弱时间)</label> | |
| <label><input type="radio" name="q1" value="c"/> 直接认为“消息一定会丢”</label> | |
| <div class="result" aria-live="polite"></div> | |
| </div> | |
| <div class="q" data-answer="c"> | |
| <h4>2)time-of-day clock 的主要风险是什么?</h4> | |
| <label><input type="radio" name="q2" value="a"/> 无法用于日志展示</label> | |
| <label><input type="radio" name="q2" value="b"/> 只能组件内比较</label> | |
| <label><input type="radio" name="q2" value="c"/> 可能回拨,导致同机自比较也出现时间倒退</label> | |
| <div class="result" aria-live="polite"></div> | |
| </div> | |
| <div class="q" data-answer="a"> | |
| <h4>3)关于 Lamport clock,下列哪句是对的?</h4> | |
| <label><input type="radio" name="q3" value="a"/> 若 a→b,则 L(a)<L(b)</label> | |
| <label><input type="radio" name="q3" value="b"/> 若 L(a)<L(b),则 a→b</label> | |
| <label><input type="radio" name="q3" value="c"/> Lamport clock 依赖 NTP 同步</label> | |
| <div class="result" aria-live="polite"></div> | |
| </div> | |
| <div class="q" data-answer="b"> | |
| <h4>4)Kafka 的 offset 为什么说像逻辑时间戳?</h4> | |
| <label><input type="radio" name="q4" value="a"/> 因为它等同于墙钟时间</label> | |
| <label><input type="radio" name="q4" value="b"/> 因为它在 partition 内单调递增并表达顺序/进度</label> | |
| <label><input type="radio" name="q4" value="c"/> 因为它能跨 partition 比较因果顺序</label> | |
| <div class="result" aria-live="polite"></div> | |
| </div> | |
| <div class="q" data-answer="c"> | |
| <h4>5)竞态条件(race condition)的抽象定义更接近哪一句?</h4> | |
| <label><input type="radio" name="q5" value="a"/> 只要多线程就一定有竞态</label> | |
| <label><input type="radio" name="q5" value="b"/> 只要网络会丢包就一定有竞态</label> | |
| <label><input type="radio" name="q5" value="c"/> 系统存在多种可能执行,且只有部分执行满足正确性</label> | |
| <div class="result" aria-live="polite"></div> | |
| </div> | |
| </div> | |
| </section> | |
| <section class="footer"> | |
| <div><b>阅读提示</b>:本页聚焦第2章“系统模型、顺序与时间”。下一章(第3章)会把 failure detection / mitigation 展开。你可以把第2章当作第3章以及后续共识、复制、一致性讨论的“地基”。</div> | |
| <div class="hr"></div> | |
| <div>来源:Think Distributed Systems(第2章)+ 本次对话逐段翻译与注释的整合。</div> | |
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| a: '异步模型里未必完全没有时间概念;先判断“无时间/弱时间”。', | |
| b: '正确:先识别时间假设强度,再判断它在当前语境是否关键。', | |
| c: '网络是否丢包属于另一维度(2.1.5),不能由“异步”直接推出。' | |
| }, | |
| q2: { | |
| a: 'time-of-day 当然适合日志展示;风险在于回拨。', | |
| b: 'monotonic 才是只适合组件内比较;time-of-day 也能跨机器比较但误差大。', | |
| c: '正确:同步可能导致回拨,排序/TTL/租约等逻辑会受影响。' | |
| }, | |
| q3: { | |
| a: '正确:Lamport clock 尊重 happened-before。', | |
| b: 'L(a)<L(b) 不能反推因果;它会给并发事件也排出先后。', | |
| c: 'Lamport clock 不依赖物理校时,它构造的是逻辑时间。' | |
| }, | |
| q4: { | |
| a: 'offset 不是墙钟时间。', | |
| b: '正确:partition 内单调递增,表达顺序与进度。', | |
| c: '跨 partition offset 不可比较,需要额外机制建立全序。' | |
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| b: '丢包是网络失败模型;竞态定义更抽象。', | |
| c: '正确:这是本书给出的广泛适用定义。' | |
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| </style> | |
| </head> | |
| <body> | |
| <div class="wrap"> | |
| <header class="hero"> | |
| <h1>第 3 章:故障容错(Failure tolerance)</h1> | |
| <p> | |
| 本页把你在对话里讨论的内容与书中第 3 章的脉络合并成一套“可直接用来设计系统”的学习路径: | |
| 先用 <span class="kbd">状态/性质</span> 建立理论骨架,再用 <span class="kbd">分层×时间</span> 的分类方法落到工程策略(检测、缓解、升级)。 | |
| </p> | |
| <div class="meta"> | |
| <span class="pill"><b>目标</b> 在故障下仍以定义良好的方式运行</span> | |
| <span class="pill"><b>两步</b> Detection(刹车) + Mitigation(推进)</span> | |
| <span class="pill"><b>两维分类</b> Spatial(层) × Temporal(时)</span> | |
| <span class="pill"><b>两类恢复</b> Backward(补偿) / Forward(重试与修复)</span> | |
| </div> | |
| </header> | |
| <div class="grid"> | |
| <nav class="toc" id="toc"> | |
| <h3>目录</h3> | |
| <a href="#overview">概览:一张图读懂本章</a> | |
| <a href="#theory">3.1 理论:状态、迁移与容错</a> | |
| <a href="#tolerance-types">3.2 容错类型:masking / nonmasking / fail-safe</a> | |
| <a href="#practice">3.3 实践:服务编排下的失败处理</a> | |
| <a href="#classification">3.3.3 分类:空间维度 × 时间维度</a> | |
| <a href="#detection">3.3.4 检测:witness、超时与不可能性</a> | |
| <a href="#mitigation">3.3.5 缓解:Backward vs Forward recovery</a> | |
| <a href="#strategy">3.3.6 理想策略:分层处理 + 逐级升级</a> | |
| <a href="#cheatsheet">速查表:怎么选动作</a> | |
| </nav> | |
| <main> | |
| <article> | |
| <section id="overview"> | |
| <h2>概览:一张图读懂本章</h2> | |
| <p> | |
| 本章的核心是把“故障”从零散事件,统一成可推理的框架: | |
| 先定义系统的 <b>正确性(correctness)</b>(安全性/活性),再在故障发生时,用 <b>检测</b> 触发保护动作、用 <b>缓解</b> 把系统带回正确轨道。 | |
| </p> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">你可以记住的四句话</div> | |
| <ul> | |
| <li><b>Failure</b>:一次“不希望但可能发生”的状态迁移,使系统进入 illegal state。</li> | |
| <li><b>Failure tolerance</b>:系统即便在 bad/illegal state 也能“定义良好地”运行。</li> | |
| <li><b>Detection</b> 更像刹车:识别风险,抑制危险动作以保 safety。</li> | |
| <li><b>Mitigation</b> 更像推进:修复/补偿/重试,让系统恢复 liveness。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">工程上最常见的失败形态</div> | |
| <ul> | |
| <li><b>服务编排(orchestration)</b>:多步 request-response,中途失败会产生“部分应用(partial application)”。</li> | |
| <li><b>最难的是副作用</b>:扣款/发券/扣库存必须避免“重复/半成品”。</li> | |
| <li><b>分类决定策略</b>:应用层(语义)→ 补偿;平台层(连通/资源)→ 重试/重连/替换。</li> | |
| <li><b>升级链条有尽头</b>:补偿也失败时进入“human layer”。</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="svgbox" aria-label="chapter-map"> | |
| <svg width="1040" height="420" viewBox="0 0 1040 420" xmlns="http://www.w3.org/2000/svg" role="img"> | |
| <defs> | |
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| <text x="35" y="55" fill="rgba(232,236,255,.92)" font-size="18" font-family="system-ui" font-weight="700">故障处理总览(第 3 章)</text> | |
| <g> | |
| <rect x="35" y="85" width="305" height="115" rx="14" fill="rgba(16,26,54,.68)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="55" y="118" fill="rgba(232,236,255,.92)" font-size="14" font-family="system-ui" font-weight="700">1) 定义正确性(Safety/Liveness)</text> | |
| <text x="55" y="145" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">把“好/坏/完蛋”状态说清楚</text> | |
| <text x="55" y="170" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">明确:故障下要保什么、放什么</text> | |
| </g> | |
| <g> | |
| <rect x="365" y="85" width="305" height="115" rx="14" fill="rgba(16,26,54,.68)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="385" y="118" fill="rgba(232,236,255,.92)" font-size="14" font-family="system-ui" font-weight="700">2) Detection:见证(witness)</text> | |
| <text x="385" y="145" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">返回码/校验/超时/租约/quorum</text> | |
| <text x="385" y="170" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">检测后先抑制危险动作(保 safety)</text> | |
| </g> | |
| <g> | |
| <rect x="695" y="85" width="305" height="115" rx="14" fill="rgba(16,26,54,.68)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="715" y="118" fill="rgba(232,236,255,.92)" font-size="14" font-family="system-ui" font-weight="700">3) Mitigation:恢复(recovery)</text> | |
| <text x="715" y="145" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">Backward:补偿 → 像没发生过</text> | |
| <text x="715" y="170" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">Forward:修复+重试 → 像成功完成</text> | |
| </g> | |
| <g> | |
| <rect x="35" y="225" width="965" height="165" rx="14" fill="rgba(12,18,40,.35)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="55" y="257" fill="rgba(232,236,255,.92)" font-size="14" font-family="system-ui" font-weight="700">分类驱动策略:Spatial × Temporal</text> | |
| <text x="55" y="285" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">Spatial:应用层(语义) vs 平台层(连通/资源) —— 看“最低能正确处理的层”</text> | |
| <text x="55" y="310" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">Temporal:瞬态 / 间歇 / 永久 —— 看 P(F2 | F1) 与是否需要人工修复</text> | |
| <text x="55" y="340" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">理想策略:平台层三段式升级(立即重试 → 退避多次 → 挂起+修复+恢复) → 仍失败则升级给应用层 → 补偿失败再升级给人工</text> | |
| </g> | |
| <path d="M340 142 L365 142" stroke="rgba(138,214,255,.55)" stroke-width="2"/> | |
| <path d="M670 142 L695 142" stroke="rgba(138,214,255,.55)" stroke-width="2"/> | |
| </svg> | |
| </div> | |
| <p class="foot">注:图是按书中 figure 3.1~3.16 的逻辑关系“文字化重画”,便于记忆与复习。</p> | |
| </section> | |
| <section id="theory"> | |
| <h2>3.1 理论:状态、迁移与容错</h2> | |
| <div class="callout tip"> | |
| <p><strong>核心定义</strong>:故障是一次“不希望但可能发生”的状态迁移,使系统从 <span class="k">legal</span> 走到 <span class="k">illegal</span>。</p> | |
| <p><strong>故障恢复(failure recovery)</strong>:从 illegal 回到 legal 的一段迁移序列。</p> | |
| </div> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">三类状态(formal view)</div> | |
| <ul> | |
| <li><b>legal state</b>:满足系统正确性的“好状态”。</li> | |
| <li><b>illegal state</b>:违反某些性质的“坏状态”,但仍可恢复。</li> | |
| <li><b>intolerable state</b>:一旦进入就无法承诺会恢复(“everything is lost”)。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">两类迁移</div> | |
| <ul> | |
| <li><b>normal transition</b>:正常执行下的状态变化。</li> | |
| <li><b>failure transition</b>:故障触发的、不期望的状态变化。</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <details> | |
| <summary>术语提醒:fault / error / failure 为什么本书统一用 failure?</summary> | |
| <p> | |
| fault、error、failure 在不同作者那里经常互相替代,本书统一使用 failure,减少讨论时的歧义。 | |
| 同理,本书更偏好用 <span class="k">failure tolerance</span>,避免把重点放在“根因到底叫不叫 fault”。 | |
| </p> | |
| </details> | |
| <details> | |
| <summary>为什么很多理论讨论会把 intolerable 排除?</summary> | |
| <p> | |
| 按定义 intolerable 是“我们不打算容忍”的情况(例如极端灾难),因此很多容错理论默认只讨论可容忍范围内的故障。 | |
| 工程上你仍应明确写出 intolerable 的边界:哪些情况需要人工介入、哪些属于灾备切换、哪些属于不可恢复。 | |
| </p> | |
| </details> | |
| </section> | |
| <section id="tolerance-types"> | |
| <h2>3.2 容错类型:在故障下保什么、放什么</h2> | |
| <p> | |
| legal/illegal 的差别最终落在 <b>Safety</b> 与 <b>Liveness</b>: | |
| Safety 要求“坏事永不发生”,Liveness 要求“好事最终发生”。 | |
| 没故障时通常两者都能保证;有故障时往往必须取舍。 | |
| </p> | |
| <div class="tabs" role="tablist" aria-label="tolerance-tabs"> | |
| <div class="tabbtn active" data-tab="masking">Masking</div> | |
| <div class="tabbtn" data-tab="nonmasking">Nonmasking</div> | |
| <div class="tabbtn" data-tab="failsafe">Fail-safe</div> | |
| <div class="tabbtn" data-tab="none">None</div> | |
| </div> | |
| <div class="tabpanel active" id="masking" role="tabpanel"> | |
| <div class="callout ok"> | |
| <p><strong>Masking failure tolerance</strong>:故障下仍同时保证 safety 与 liveness。</p> | |
| <p>对外表现接近 <b>failure transparency</b>(故障透明)。</p> | |
| </div> | |
| <p> | |
| 这是最理想的形态,但经常成本很高,甚至在某些系统模型下做不到。 | |
| 书中后续会用“不可能性结果”(例如 CAP 在分区下的取舍)来解释:某些场景无法承诺完全透明。 | |
| </p> | |
| </div> | |
| <div class="tabpanel" id="nonmasking" role="tabpanel"> | |
| <div class="callout warn"> | |
| <p><strong>Nonmasking failure tolerance</strong>:故障下保证 liveness,但不保证 safety。</p> | |
| <p>直觉:允许“犯错”,但保证“继续前进”。</p> | |
| </div> | |
| <p> | |
| 例子:无故障时队列保证 FIFO;故障期间仍持续投递,但可能乱序。 | |
| 这类系统通常要求上层具备补救能力(重排、去重、幂等等),把“允许错误的形态”定义清楚。 | |
| </p> | |
| </div> | |
| <div class="tabpanel" id="failsafe" role="tabpanel"> | |
| <div class="callout tip"> | |
| <p><strong>Fail-safe failure tolerance</strong>:故障下保证 safety,但不保证 liveness。</p> | |
| <p>直觉:宁可停摆,也不做错。</p> | |
| </div> | |
| <p> | |
| 例子:为避免乱序,队列在故障期间停止投递。 | |
| 共识系统在无法确认 quorum / leader 时拒绝写入,也是典型 fail-safe 姿态。 | |
| </p> | |
| </div> | |
| <div class="tabpanel" id="none" role="tabpanel"> | |
| <div class="callout bad"> | |
| <p><strong>None of the above</strong>:故障下既不保 safety 也不保 liveness → 实际上不可接受。</p> | |
| </div> | |
| <p> | |
| 书中用“单进程、变量 x ∈ {0,1,2,3}”的小模型来展示:如何先定义 safety/liveness,再判断系统在某些状态下属于哪种容错类型, | |
| 并明确 x=3 这类 intolerable 的“黑洞状态”。 | |
| </p> | |
| </div> | |
| <details> | |
| <summary>小模型如何读:把“正确性”写成性质,而不是感觉</summary> | |
| <p> | |
| 书中示例把 Safety 定义成 <span class="k">x ∈ {1,2}</span>,把 Liveness 定义成“未来某刻 x=1 且未来某刻 x=2”。 | |
| 于是 <span class="k">x=0</span> 会变成“仍 live 但不 safe”,对应 nonmasking。 | |
| 这个例子刻意“反直觉”,用来强调:性质是契约,契约决定容错讨论。 | |
| </p> | |
| </details> | |
| </section> | |
| <section id="practice"> | |
| <h2>3.3 实践:服务编排下的故障处理</h2> | |
| <p> | |
| 本章后半部分进入服务编排(service orchestration):一个 service consumer 调用一个或多个 service provider, | |
| 形成一条 request-response 的步骤序列(process)。 | |
| 最麻烦的情况是:故障导致 <b>partial application</b>,一些步骤已产生副作用,剩下步骤没完成。 | |
| </p> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">两种启动结果</div> | |
| <ul> | |
| <li><b>Total application</b>:无故障时每步成功,系统从正确状态走到另一个正确状态。</li> | |
| <li><b>Partial application</b>:故障时只执行部分步骤,系统可能进入“不正确”的中间状态。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">理想的两种“正确结局”</div> | |
| <ul> | |
| <li><b>正确且理想</b>:对外可观察等价于“成功完成全部步骤”(forward recovery)。</li> | |
| <li><b>正确但不理想</b>:对外可观察等价于“没有发生过”(backward recovery)。</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="callout warn"> | |
| <p><strong>电商 checkout 的关键不变量</strong>(书中准经典例子):</p> | |
| <ul> | |
| <li>成功结账:信用卡必须 <b>exactly once</b> 扣款。</li> | |
| <li>结账失败:必须 <b>not charged at all</b>。</li> | |
| <li>绝不能出现“未发货/未出票但扣款”的状态。</li> | |
| </ul> | |
| </div> | |
| <details> | |
| <summary>提示:Completeness(完整性)与数据库 ACID 的类比</summary> | |
| <p> | |
| 书中提示:Completeness(total application)之于分布式系统,就像 ACID 之于数据库: | |
| 它是多步正确执行的先决条件。步骤序列一旦“不完整”,就必须通过恢复策略让外部语义回到正确。 | |
| </p> | |
| </details> | |
| </section> | |
| <section id="classification"> | |
| <h2>3.3.3 分类:空间维度 × 时间维度</h2> | |
| <p> | |
| 为了更有效地检测与缓解故障,书中采用两个正交维度: | |
| <b>空间(spatial)</b> 看“发生在哪里/哪一层能处理”,<b>时间(temporal)</b> 看“持续多久/是否会自愈”。 | |
| </p> | |
| <h3>空间维度:分层(layers)与归属层(application vs platform)</h3> | |
| <div class="callout tip"> | |
| <p><strong>端到端原则(end-to-end argument)</strong>:在分层系统里,故障处理应放在“自顶向下看,最低且能正确、完整处理”的那一层。</p> | |
| </div> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">应用层故障(application-level)</div> | |
| <ul> | |
| <li>最低能正确处理的层是“业务语义层”。</li> | |
| <li>例:<span class="k">InsufficientFunds</span>(余额不足)对平台层没有可解释意义。</li> | |
| <li>常用手段:<b>Backward recovery</b>(补偿/撤销/对冲)。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">平台层故障(platform-level)</div> | |
| <ul> | |
| <li>最低能正确处理的层是“连接/资源/运行时/中间件层”。</li> | |
| <li>例:<span class="k">CouldNotConnect</span> 可由平台层重连/重试缓解。</li> | |
| <li>常用手段:<b>Forward recovery</b>(修复根因 + 重试)。</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <details> | |
| <summary>分层架构的 downcall / upcall 视角有什么用?</summary> | |
| <p> | |
| 高层对低层发起 downcall(通常等响应);低层也可能通过回调 upcall 通知高层。 | |
| 这让你更容易定位“症状出现在哪一层、根因可能在更低哪一层”,也能理解故障如何沿调用链传播。 | |
| </p> | |
| </details> | |
| <h3>时间维度:瞬态 / 间歇 / 永久(用条件概率刻画)</h3> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">瞬态(transient)</div> | |
| <ul> | |
| <li>直觉:第一次失败后,第二次失败概率不升高。</li> | |
| <li class="k">P(F2 | F1) = P(F2)</li> | |
| <li>通常自愈(autorepair),无需人工。</li> | |
| <li>例:路由器重启导致短暂连不上,重启完成后恢复。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">间歇(intermittent)</div> | |
| <ul> | |
| <li>直觉:进入“更易失败的窗口期”。</li> | |
| <li class="k">P(F2 | F1) > P(F2)</li> | |
| <li>通常仍会自愈,但需要时间/收敛。</li> | |
| <li>例:过期路由表,待路由更新后恢复。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">永久(permanent)</div> | |
| <ul> | |
| <li>直觉:不修就永远失败。</li> | |
| <li class="k">P(F2 | F1) = 1</li> | |
| <li>需要人工或外部修复(manual repair)。</li> | |
| <li>例:证书过期,必须换新证书。</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="callout warn"> | |
| <p><strong>读法</strong>:同一个错误外观(比如 CouldNotConnect)可能对应三种时间类型,策略必须跟着“时态”变。</p> | |
| <ul> | |
| <li>瞬态:轻量重试(有界)+ 退避</li> | |
| <li>间歇:抑制 + 探测恢复(熔断/half-open/逐步放量)</li> | |
| <li>永久:fail-fast + 隔离 + 修复/替换 + 告警升级</li> | |
| </ul> | |
| </div> | |
| </section> | |
| <section id="detection"> | |
| <h2>3.3.4 故障检测:witness、超时与不可能性</h2> | |
| <p> | |
| 书中把“failure detector”从经典的“崩溃怀疑列表”扩展为更广义的概念: | |
| <b>故障检测器是一种 witness / predicate</b>,用于确认某次“不希望但可能发生的状态迁移”已经发生。 | |
| 很多 witness 直接来自协议或算法本身(返回码、校验失败、quorum 不满足、租约失效等)。 | |
| </p> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">应用层 witness</div> | |
| <p>检查步骤返回码即可:</p> | |
| <ul> | |
| <li><span class="k">InsufficientFunds</span> → 应用层失败(平台层无法解释)。</li> | |
| <li>检测后通常进入 <b>backward recovery</b>:补偿已发生步骤。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">平台层 witness</div> | |
| <p>同样可由返回码触发:</p> | |
| <ul> | |
| <li><span class="k">CouldNotConnect</span> → 平台层失败(重连/重试可能有效)。</li> | |
| <li>检测后通常尝试 <b>forward recovery</b>:修复根因并继续推进。</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <h3>必须检测“完全不可用”:pull / push 与 timeout</h3> | |
| <div class="card"> | |
| <ul> | |
| <li><b>pull</b>:观察者按频率探测并要求在超时内收到响应。</li> | |
| <li><b>push</b>:被观察者按频率发送心跳(heartbeat)。</li> | |
| <li>在此语境下,“崩溃”的 witness 经常就是 <b>timeout</b>。</li> | |
| </ul> | |
| </div> | |
| <div class="callout warn"> | |
| <p><strong>超时不等于崩溃</strong>:同步+可靠网络下缺消息可视为确定失败;但在部分同步/异步 + 不可靠网络下,缺消息可能只是延迟或丢失。</p> | |
| </div> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">完备性(completeness)</div> | |
| <p>最终能识别所有真实故障:<b>不漏报</b>(no false negatives)。</p> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">准确性(accuracy)</div> | |
| <p>识别出的都是真故障:<b>不误报</b>(no false positives)。</p> | |
| </div> | |
| </div> | |
| <details> | |
| <summary>为什么在部分同步/异步 + 不可靠网络下,不可能同时完备且准确?</summary> | |
| <p> | |
| 你无法区分“消息被延迟”还是“消息丢失/对方崩溃”。 | |
| 若把阈值设小会误报(伤 liveness),设大则漏报(伤 safety 或恢复慢)。 | |
| 因此工程上通常选择一种可接受的权衡,并用抑制/缓解机制把风险控住。 | |
| </p> | |
| </details> | |
| <details> | |
| <summary>Aha:谁来监督监督者?(Erlang/OTP 的监督树)</summary> | |
| <p> | |
| 观察者也会失败,因此需要监督结构(supervision strategies)。Erlang/OTP 的监督树是经典案例: | |
| 用层级化监督者/工作者进程树组织容错。 | |
| 但监督链条终究会走到尽头,进入 intolerable,需要人工介入。 | |
| </p> | |
| </details> | |
| </section> | |
| <section id="mitigation"> | |
| <h2>3.3.5 故障缓解:Backward vs Forward recovery</h2> | |
| <p> | |
| 缓解(mitigation)是“解决(suspected)failure”的机制。 | |
| 书中把故障管理总结为两条主路线(figure 3.15):<b>后向恢复</b> 与 <b>前向恢复</b>。 | |
| </p> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">Backward recovery(后向恢复)</div> | |
| <p> | |
| 从中间 illegal state 回到“等价初始 legal state”,也就是让外部看起来像 <b>no application</b>。 | |
| </p> | |
| <ul> | |
| <li>经验法则:通常 <b>不需要修复根因</b>,因为不尝试跨过去。</li> | |
| <li>典型形态:<b>补偿(compensation)</b>,常见于应用层。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">Forward recovery(前向恢复)</div> | |
| <p> | |
| 从中间 illegal state 走到“等价最终 legal state”,也就是让外部看起来像 <b>total application</b>。 | |
| </p> | |
| <ul> | |
| <li>经验法则:通常 <b>需要修复根因</b>,因为要继续推进。</li> | |
| <li>典型形态:<b>重试(retries)</b>,常见于平台层。</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="callout warn"> | |
| <p><strong>注意</strong>:重试只在“可安全重试”时成立。对带副作用的操作(扣款/发券),必须先满足幂等与去重,否则会破坏 safety(例如重复扣款)。</p> | |
| </div> | |
| </section> | |
| <section id="strategy"> | |
| <h2>3.3.6 理想策略:分层处理 + 逐级升级</h2> | |
| <p> | |
| 这一节把整章拼装成一条最实用的策略链(figure 3.16): | |
| <b>先判层,再判时态;平台层逐级升级;仍不行就上抛给应用层;补偿也失败则进入 human layer。</b> | |
| </p> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">应用层缓解(能明确判为应用层)</div> | |
| <ul> | |
| <li>应用层负责处理(它拥有语义)。</li> | |
| <li>常用:<b>backward recovery</b>(补偿已发生步骤)。</li> | |
| <li>例:余额不足 → 终止结账并补偿前置步骤。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">平台层缓解(无法明确判为应用层 / 明确是平台层)</div> | |
| <ul> | |
| <li>平台层负责处理(它拥有连接/资源控制力)。</li> | |
| <li>常用:<b>forward recovery</b>(修复根因并继续推进)。</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">平台层三段式升级(temporal-driven)</div> | |
| <ol> | |
| <li><b>假设瞬态</b>:立即重试一次(immediate retry)。</li> | |
| <li><b>假设间歇</b>:多次重试 + 退避(backoff)。</li> | |
| <li><b>假设永久</b>:挂起流程 → 修复底层条件 → 恢复流程并重试。</li> | |
| </ol> | |
| <p class="foot">如果最终仍失败:升级为“应用层故障”,把失败呈现给应用层处理。</p> | |
| </div> | |
| <div class="callout bad"> | |
| <p><strong>保持警惕:补偿也会失败</strong></p> | |
| <p> | |
| 例如后向恢复需要退款,但退款失败。此时必须把问题从应用层升级到 <b>human layer</b>: | |
| 由运维/业务运营介入。最坏情况下,需要人工完成线下退款(比如签支票寄出)。 | |
| </p> | |
| </div> | |
| <div class="svgbox" aria-label="strategy-flow"> | |
| <svg width="1040" height="520" viewBox="0 0 1040 520" xmlns="http://www.w3.org/2000/svg" role="img"> | |
| <rect x="10" y="10" width="1020" height="500" rx="18" fill="rgba(12,18,40,.22)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="35" y="55" fill="rgba(232,236,255,.92)" font-size="18" font-family="system-ui" font-weight="700">理想故障处理流程(文字化 figure 3.16)</text> | |
| <g> | |
| <rect x="35" y="85" width="970" height="70" rx="14" fill="rgba(16,26,54,.68)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="55" y="115" fill="rgba(232,236,255,.92)" font-size="14" font-family="system-ui" font-weight="700">检测到失败(witness:返回码/校验/超时/租约/quorum…)</text> | |
| <text x="55" y="140" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">先做安全动作:抑制危险操作,避免扩大副作用</text> | |
| </g> | |
| <g> | |
| <rect x="35" y="175" width="470" height="120" rx="14" fill="rgba(16,26,54,.55)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="55" y="205" fill="rgba(232,236,255,.92)" font-size="14" font-family="system-ui" font-weight="700">能明确判为应用层失败?</text> | |
| <text x="55" y="232" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">例如 InsufficientFunds(平台层无法解释)</text> | |
| <text x="55" y="260" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">→ 应用层 backward recovery:补偿已发生步骤</text> | |
| </g> | |
| <g> | |
| <rect x="535" y="175" width="470" height="120" rx="14" fill="rgba(16,26,54,.55)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="555" y="205" fill="rgba(232,236,255,.92)" font-size="14" font-family="system-ui" font-weight="700">否则 → 平台层处理</text> | |
| <text x="555" y="232" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">例如 CouldNotConnect 或无法明确归类</text> | |
| <text x="555" y="260" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">→ 平台层 forward recovery:修复根因并继续推进</text> | |
| </g> | |
| <path d="M505 235 L535 235" stroke="rgba(138,214,255,.55)" stroke-width="2"/> | |
| <g> | |
| <rect x="535" y="310" width="470" height="160" rx="14" fill="rgba(12,18,40,.30)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="555" y="340" fill="rgba(232,236,255,.92)" font-size="14" font-family="system-ui" font-weight="700">平台层三段式升级(按时间维度)</text> | |
| <text x="555" y="372" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">1) 瞬态:立即重试</text> | |
| <text x="555" y="398" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">2) 间歇:多次重试 + 退避</text> | |
| <text x="555" y="424" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">3) 永久:挂起流程 → 修复 → 恢复流程重试</text> | |
| <text x="555" y="452" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">仍失败:升级给应用层</text> | |
| </g> | |
| <g> | |
| <rect x="35" y="310" width="470" height="160" rx="14" fill="rgba(12,18,40,.30)" stroke="rgba(168,189,255,.18)"/> | |
| <text x="55" y="340" fill="rgba(232,236,255,.92)" font-size="14" font-family="system-ui" font-weight="700">应用层补偿也失败?</text> | |
| <text x="55" y="372" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">例如退款失败</text> | |
| <text x="55" y="398" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">→ 升级到 human layer(工单/对账/人工处理)</text> | |
| <text x="55" y="424" fill="rgba(183,192,255,.85)" font-size="13" font-family="system-ui">最坏情况:线下退款(签支票寄出)</text> | |
| </g> | |
| <path d="M270 295 L270 310" stroke="rgba(255,208,138,.55)" stroke-width="2"/> | |
| <path d="M770 295 L770 310" stroke="rgba(138,214,255,.55)" stroke-width="2"/> | |
| </svg> | |
| </div> | |
| </section> | |
| <section id="cheatsheet"> | |
| <h2>速查表:怎么选动作</h2> | |
| <div class="card"> | |
| <div class="mini-title">先问 3 个问题(最实用)</div> | |
| <ol> | |
| <li><b>这是不是业务语义失败?</b>(平台层能否“正确且完整地”处理?)</li> | |
| <li><b>这是不是可安全重试的失败?</b>(是否有幂等键/去重/副作用保护?)</li> | |
| <li><b>它更像瞬态/间歇/永久?</b>(是否自愈?是否需要人工修复?)</li> | |
| </ol> | |
| </div> | |
| <div class="two"> | |
| <div class="card"> | |
| <div class="mini-title">默认动作建议(平台层)</div> | |
| <ul> | |
| <li><b>瞬态</b>:一次立即重试(有界)→ 快速恢复 liveness。</li> | |
| <li><b>间歇</b>:多次重试 + 指数退避 + 抖动;必要时熔断/half-open。</li> | |
| <li><b>永久</b>:fail-fast;挂起流程;切备用/替换;触发修复与告警升级。</li> | |
| </ul> | |
| </div> | |
| <div class="card"> | |
| <div class="mini-title">默认动作建议(应用层)</div> | |
| <ul> | |
| <li><b>语义失败</b>:不要重试“无意义”的错误(例如余额不足)。</li> | |
| <li><b>补偿</b>:把外部语义拉回 no application;把补偿也当成“可能失败的步骤”。</li> | |
| <li><b>兜底</b>:补偿失败 → human layer(工单/对账/人工审核)。</li> | |
| </ul> | |
| </div> | |
| </div> | |
| <div class="callout warn"> | |
| <p><strong>常见坑</strong></p> | |
| <ul> | |
| <li>把应用层失败当成平台层失败去重试(浪费资源、可能放大副作用)。</li> | |
| <li>对带副作用操作“盲目重试”,没有幂等与去重 → 直接破坏 safety。</li> | |
| <li>把 timeout 当成确定崩溃 → 在异步/不可靠网络下误杀,伤 liveness。</li> | |
| <li>没有清晰的 intolerable 边界与人工流程 → 事故时无法收敛。</li> | |
| </ul> | |
| </div> | |
| <p class="foot"> | |
| 建议复习方式:先把本页的“分类→策略链”记牢,再回到书里的图(3.1~3.16)对照一遍; | |
| 你会发现整章其实在反复训练同一件事:用性质描述正确性,用分类驱动检测与缓解,用升级链条覆盖现实世界的终点。 | |
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| <h1>第 4 章:消息投递与处理(Message delivery and processing)</h1> | |
| <p> | |
| 这一章的目标是把“投递语义/处理语义/恰好一次语义”说清楚,并拆掉一些常见误解(包括对 TCP 的过度信任、对 exactly-once 的营销式表述)。 | |
| 你会看到:执行层面的 exactly-once 不可达;工程上通常追求的是 exactly-once processing semantics(语义等价)。 | |
| </p> | |
| <div class="pillrow"> | |
| <span class="pill"><span class="dot"></span> 关键词:at-most-once / at-least-once / exactly-once</span> | |
| <span class="pill"><span class="dot"></span> 关键词:equivalence(等价)/ idempotence(幂等)</span> | |
| <span class="pill"><span class="dot"></span> 关键词:timeouts / retries / duplication</span> | |
| </div> | |
| </div> | |
| </header> | |
| <nav class="sidebar nav" aria-label="章节导航"> | |
| <p class="nav-title">目录(可滚动)</p> | |
| <div class="nav-group"> | |
| <h3>核心心智模型</h3> | |
| <a href="#sec-mental">4.0 核心概念与坑</a> | |
| <a href="#sec-41">4.1 消息交换与系统模型</a> | |
| <a href="#sec-petri">Petri net:对话的动态展开</a> | |
| </div> | |
| <div class="nav-group"> | |
| <h3>语义:投递 vs 处理</h3> | |
| <a href="#sec-tables">表 4.1 / 4.2:三种语义</a> | |
| <a href="#sec-uncertainty">4.2 不确定性原理</a> | |
| <a href="#sec-silence">4.3 沉默与喧闹</a> | |
| </div> | |
| <div class="nav-group"> | |
| <h3>Exactly-once 语义路线</h3> | |
| <a href="#sec-tcp">Aha:TCP 也救不了你</a> | |
| <a href="#sec-two-fails">Aha:两次失败的实现</a> | |
| <a href="#sec-44">4.4 恰好一次处理语义</a> | |
| <a href="#sec-45">4.5 幂等性与幂等键</a> | |
| </div> | |
| <div class="nav-group"> | |
| <h3>案例:信用卡扣款</h3> | |
| <a href="#sec-46">4.6 扣款案例与失败窗口</a> | |
| <a href="#sec-stripe">Stripe 幂等键与“用户体验等价”</a> | |
| </div> | |
| <div class="nav-group"> | |
| <h3>收束</h3> | |
| <a href="#sec-checklist">工程清单:怎么落地</a> | |
| <a href="#sec-summary">本章总结</a> | |
| </div> | |
| <div class="footer"> | |
| 提示:如果你在做 API 网关、消息队列、支付/订单,这章的“语义”比“实现细节”更重要。 | |
| </div> | |
| </nav> | |
| <main> | |
| <section id="sec-mental"> | |
| <h2>4.0 核心概念与坑</h2> | |
| <p> | |
| 本章开头先“扫雷”:很多人说 exactly-once processing,但真正想表达的是 exactly-once processing semantics。 | |
| 前者指执行现实中每条消息只被处理一次;后者指系统对外表现得“好像只处理了一次”,即使底层会重试或出现重复。 | |
| </p> | |
| <div class="callout warn"> | |
| <strong>常见误区:</strong> | |
| 把“框架/协议的 exactly-once”当作“端到端业务的 exactly-once”。本章会反复强调:语义通常是端到端的,不能只盯某一层。 | |
| </div> | |
| <div class="grid2"> | |
| <div class="card"> | |
| <h4>执行现实(processing)</h4> | |
| <p>函数是否只跑一次?副作用是否只发生一次?通常不可保证。</p> | |
| </div> | |
| <div class="card"> | |
| <h4>语义结果(processing semantics)</h4> | |
| <p>外部可观察业务效果是否等价于一次?可通过幂等/去重/事务等实现。</p> | |
| </div> | |
| </div> | |
| </section> | |
| <section id="sec-41"> | |
| <h2>4.1 消息交换与系统模型</h2> | |
| <p> | |
| 分布式系统由并发组件构成,组件通过网络发送/接收消息通信。每个组件对自己的本地状态拥有排他访问权,本地状态的改变称为副作用(side effect)。 | |
| </p> | |
| <p class="muted"> | |
| 本章默认部分同步(partially synchronous)模型:大多数时候同步,偶尔异步;网络可能乱序、丢失、重复;组件可能崩溃并恢复(易失状态丢失、持久状态保留);排除拜占庭失败。 | |
| </p> | |
| <div class="callout"> | |
| <strong>对话视角:</strong> | |
| 用“请求-响应(request-response)”来想问题。虽然双方都可收发消息,约定:发起请求的一方叫 sender,发出响应的一方叫 receiver。 | |
| </div> | |
| </section> | |
| <section id="sec-petri"> | |
| <h2>Petri net:把一次对话拆成可推理的动态过程</h2> | |
| <p> | |
| 书用 Petri net 来刻画并发系统的动态:place(圆)代表控制状态,transition(矩形)代表事件。 | |
| transition 在输入 place 都有 token、输出 place 没有 token 时可触发;触发后消耗输入 token 并在输出 place 产生 token。 | |
| </p> | |
| <details> | |
| <summary>把一次请求-响应对话拆成 5 个事件</summary> | |
| <div> | |
| <ol> | |
| <li>sender 把 request 提交给网络</li> | |
| <li>网络把 request 投递给 receiver</li> | |
| <li>receiver 处理 request,可能产生副作用</li> | |
| <li>receiver 把 response 提交给网络</li> | |
| <li>网络把 response 投递给 sender</li> | |
| </ol> | |
| <p> | |
| 这组拆分很关键:后面的“丢/重/慢/崩溃”本质上就是让这些事件出现 0 次、1 次或多次,或者在某一步卡住。 | |
| </p> | |
| </div> | |
| </details> | |
| </section> | |
| <section id="sec-tables"> | |
| <h2>表 4.1 / 4.2:三种语义(投递 vs 处理)</h2> | |
| <p> | |
| 书把“消息交换”拆成两层: | |
| <strong>投递(delivery)</strong>关心消息从网络到组件的呈交; | |
| <strong>处理(processing)</strong>关心生成响应与产生副作用。 | |
| </p> | |
| <h3>表 4.1:Message delivery(接收侧视角)</h3> | |
| <table> | |
| <thead> | |
| <tr><th style="width:180px;">Message delivery</th><th>On the receiver side</th></tr> | |
| </thead> | |
| <tbody> | |
| <tr><td>At most once</td><td>网络把消息投递 0 次或 1 次。</td></tr> | |
| <tr><td>At least once</td><td>网络把消息投递 1 次或多次。</td></tr> | |
| <tr><td>Exactly once</td><td>网络把消息投递 1 次。</td></tr> | |
| </tbody> | |
| </table> | |
| <h3>表 4.2:Message processing(接收侧视角)</h3> | |
| <table> | |
| <thead> | |
| <tr><th style="width:180px;">Message processing</th><th>On the receiver side</th></tr> | |
| </thead> | |
| <tbody> | |
| <tr><td>At most once</td><td>接收方处理 0 次或 1 次。</td></tr> | |
| <tr><td>At least once</td><td>接收方处理 1 次或多次。</td></tr> | |
| <tr><td>Exactly once</td><td>接收方处理 1 次。</td></tr> | |
| </tbody> | |
| </table> | |
| <div class="callout"> | |
| <strong>工程聚焦点:</strong> | |
| 讨论 at-most-once / at-least-once / exactly-once 时,通常更关心 processing,因为副作用在这里。 | |
| </div> | |
| </section> | |
| <section id="sec-uncertainty"> | |
| <h2>4.2 消息投递与处理的不确定性原理</h2> | |
| <p> | |
| 组件只能观察自己的本地状态与与网络的通道(local view)。因此 sender 在发出请求后,会从“确定”进入“不确定”,理想目标是回到“确定”。 | |
| </p> | |
| <div class="grid2"> | |
| <div class="card"> | |
| <h4>4.2.1 发送之前</h4> | |
| <p>sender 确信:还没有工作发生,也没有副作用发生。</p> | |
| </div> | |
| <div class="card"> | |
| <h4>4.2.3 收到响应之后</h4> | |
| <p>sender 再次获得确定性:成功表示已完成,失败表示未完成(排除拜占庭欺骗)。</p> | |
| </div> | |
| </div> | |
| <h3>4.2.2 已发送但未收到响应:五种不可区分的现实</h3> | |
| <p class="muted">sender 在没响应时无法区分以下情况(观测结果往往相同:没响应/超时):</p> | |
| <ul> | |
| <li>请求在网络中丢失</li> | |
| <li>receiver 在处理前崩溃</li> | |
| <li>receiver 在处理后崩溃</li> | |
| <li>响应在网络中丢失</li> | |
| <li>网络或 receiver 很慢</li> | |
| </ul> | |
| <div class="callout warn"> | |
| <strong>关键推论:</strong> | |
| 超时只能证明“我没有观察到响应”,无法证明“对方没有处理”。重试因此天然带来重复。 | |
| </div> | |
| </section> | |
| <section id="sec-silence"> | |
| <h2>4.3 沉默与喧闹(Silence and chatter)</h2> | |
| <p> | |
| sender 在不确定态里需要做选择:继续往前走,或重试。 | |
| timeout 是常见的故障怀疑机制,但在部分同步系统里,它并不总是准确。 | |
| </p> | |
| <div class="callout"> | |
| <strong>Timeout 的证据性质:</strong> | |
| <ul> | |
| <li>系统处在同步阶段:超时往往是准确证据(true positive)</li> | |
| <li>系统处在异步阶段:超时可能误判(true positive 或 false positive)</li> | |
| </ul> | |
| </div> | |
| <div class="callout bad"> | |
| <strong>两难:</strong> | |
| move on 倾向 at-most-once(可能 0 次);try again 倾向 at-least-once(可能重复很多次)。 | |
| 在丢/慢/崩溃存在时,执行层面的 exactly-once 不可达。 | |
| </div> | |
| </section> | |
| <section id="sec-tcp"> | |
| <h2>Aha:TCP 也救不了你</h2> | |
| <p> | |
| TCP 通过 ack + 重传提供可靠的字节流传输。它能保证“发送端与接收端内核之间”传输的数据准确完整。 | |
| 但它无法保证应用层一定收到并处理了消息。 | |
| </p> | |
| <div class="callout warn"> | |
| <strong>关键点:</strong> | |
| 内核往往在把数据交付给应用之前就 ack。若在 ack 之后、交付/处理之前崩溃,应用层视角消息仍会丢失。 | |
| 低层 at-least-once,不会自动推导出高层 at-least-once。 | |
| </div> | |
| </section> | |
| <section id="sec-two-fails"> | |
| <h2>Aha:两次失败的实现(为什么 exactly-once 执行现实做不到)</h2> | |
| <p> | |
| 直觉会让人尝试“接收侧去重”。书给了两个对称的失败例子: | |
| 一个是先记录再处理,另一个是先处理再记录。崩溃窗口会让它们分别退化成 at-most-once 和 at-least-once。 | |
| </p> | |
| <h3>失败 1:先记录再处理 → 可能漏处理(退化 at-most-once)</h3> | |
| <pre><code>received := { } | |
| on message request do | |
| if request in received then | |
| return | |
| end | |
| received := received + request | |
| // 若此处崩溃:已标记但未处理,重试会被短路,最终变成 0 次处理 | |
| process(request) | |
| end</code></pre> | |
| <h3>失败 2:先处理再记录 → 可能重复处理(退化 at-least-once)</h3> | |
| <pre><code>received := { } | |
| on message request do | |
| if request in received then | |
| return response | |
| end | |
| process(request) | |
| // 若此处崩溃:已处理但未记录,重试不会短路,会再处理一次 | |
| received := received + request | |
| return response | |
| end</code></pre> | |
| <div class="callout"> | |
| <strong>本质:</strong> | |
| “处理副作用”与“记录已处理”之间缺少原子性。只靠调整顺序绕不开崩溃窗口。 | |
| </div> | |
| </section> | |
| <section id="sec-44"> | |
| <h2>4.4 恰好一次处理语义(Exactly-once processing semantics)</h2> | |
| <p> | |
| 语义关注处理结果,而不是处理动作本身。 | |
| 要求:处理一次与处理两次或多次在业务上等价。 | |
| </p> | |
| <pre><code>P(m) ≡ P(m) • … • P(m)</code></pre> | |
| <p class="muted"> | |
| 这里是“等价(equivalence)”而非“相等”。例如日志会重复写,状态不相等,但常被认为业务等价。 | |
| </p> | |
| <div class="callout"> | |
| <strong>端到端属性:</strong> | |
| 语义保证依赖 sender 与 receiver。sender 需要坚持重试直到拿到响应(避免 0 次);receiver 不能随意跳过处理。 | |
| </div> | |
| </section> | |
| <section id="sec-45"> | |
| <h2>4.5 幂等性(Idempotence)与幂等键</h2> | |
| <p> | |
| 既然重复处理可能发生,就需要让重复处理的效果折叠为一次。幂等性是关键手段: | |
| </p> | |
| <pre><code>f(f(x)) = f(x)</code></pre> | |
| <p> | |
| 分布式语境里:同一个操作执行多次,其业务效果与执行一次等价。 | |
| 当 processing 是幂等操作时,at-least-once processing 可以提供 exactly-once processing semantics。 | |
| </p> | |
| <h3>哪些操作“天生幂等”?哪些不幂等?</h3> | |
| <div class="grid2"> | |
| <div class="card"> | |
| <h4>天生幂等示例</h4> | |
| <p>写一次寄存器:第一次写入锁定值,后续写入不改变状态。</p> | |
| </div> | |
| <div class="card"> | |
| <h4>非幂等示例</h4> | |
| <p>信用卡扣款:重复请求会重复扣款。</p> | |
| </div> | |
| </div> | |
| <h3>幂等键(idempotence key)模式</h3> | |
| <p class="muted"> | |
| sender 生成 UUID,并把 UUID 附在请求与所有重试上;receiver 以 UUID 为依据进行去重。 | |
| </p> | |
| <h3>事务性去重:把“副作用”与“记录”焊在一起</h3> | |
| <pre><code>received := { } | |
| on message request do | |
| if request in received then | |
| return response | |
| end | |
| begin transaction | |
| process(request) | |
| received := received + request | |
| commit transaction | |
| return response | |
| end</code></pre> | |
| <div class="callout ok"> | |
| <strong>要点:</strong> | |
| 事务让“副作用落地”和“幂等记录落地”同生共死,崩溃窗口被消掉。 | |
| 现实实现常用:幂等表 + 唯一约束 + 同事务提交,并缓存首次响应以便重试返回一致结果。 | |
| </div> | |
| </section> | |
| <section id="sec-46"> | |
| <h2>4.6 案例:信用卡扣款(预订机票)</h2> | |
| <p> | |
| 目标:每次购买扣款恰好一次(语义层面)。无故障时:request → process → response,闭环很自然。 | |
| 有故障/延迟时:sender 可能收不到 response,进入不确定态并发起重试。 | |
| </p> | |
| <details> | |
| <summary>失败窗口:处理前失败 vs 处理后失败</summary> | |
| <div> | |
| <ul> | |
| <li><strong>处理前失败:</strong>请求没被处理到,重试是必要的,否则可能漏扣/漏出票。</li> | |
| <li><strong>处理后失败:</strong>扣款已发生,但响应丢失或服务崩溃,sender 仍会重试;若扣款操作不幂等,会出现重复扣款。</li> | |
| </ul> | |
| <p> | |
| 这也是“没响应”的难点:sender 无法区分“没处理”与“已处理但没回”。 | |
| </p> | |
| </div> | |
| </details> | |
| <div class="callout"> | |
| <strong>用户侧现实:</strong> | |
| App 会做有限次重试;若仍无响应,提示失败并让用户确认订单状态(邮件、订单页、客服)。 | |
| 这属于“恢复确定性”的体验设计。 | |
| </div> | |
| </section> | |
| <section id="sec-stripe"> | |
| <h2>Stripe 幂等键与“用户体验等价”</h2> | |
| <p> | |
| 书举了 Stripe 的幂等请求:对同一幂等键的第一次请求,保存响应状态码与 body;后续同 key 请求返回相同结果,甚至包含 500。 | |
| 这依赖 sender 稳定生成并复用幂等键(例如用 reservation number 作为 key)。 | |
| </p> | |
| <div class="callout warn"> | |
| <strong>作者的提醒:</strong> | |
| “语义等价”还取决于用户如何感受。某航司 App 崩溃重试导致信用卡出现 4~5 笔 pending 扣款,客服说最终只生效一笔。 | |
| 工程师觉得等价,用户却会明显不安。做 exactly-once 语义时,要把用户体验纳入等价定义。 | |
| </div> | |
| <div class="kpi"> | |
| <span class="chip">结果一致:重试返回同一响应</span> | |
| <span class="chip">过程可见:订单/行程页可查询</span> | |
| <span class="chip">心理安全:避免多笔可见扣款</span> | |
| </div> | |
| </section> | |
| <section id="sec-checklist"> | |
| <h2>工程清单:如何落地 exactly-once 处理语义</h2> | |
| <p class="muted">这是把本章逻辑落到系统设计的“最小检查表”。不同业务可以裁剪。</p> | |
| <h3>一、明确定义“等价”的边界</h3> | |
| <ul> | |
| <li>哪些状态算“关键业务状态”(必须折叠为一次)?</li> | |
| <li>哪些副作用可接受重复(日志、部分指标)?</li> | |
| <li>用户可见的中间态(pending、冻结)是否要纳入等价?</li> | |
| </ul> | |
| <h3>二、让请求可被稳定识别</h3> | |
| <ul> | |
| <li>为每个逻辑请求生成稳定的 idempotence key(重试复用同 key)</li> | |
| <li>确保 key 的作用域正确(同 key 对应同一业务意图)</li> | |
| </ul> | |
| <h3>三、在接收侧做事务性去重</h3> | |
| <ul> | |
| <li>幂等表(或去重表)对 key 建唯一约束</li> | |
| <li>把“写幂等记录”和“业务副作用”放在同一事务提交</li> | |
| <li>缓存首次响应(或结果摘要),让重试返回一致响应</li> | |
| </ul> | |
| <h3>四、把“不确定”转成“可查询”</h3> | |
| <ul> | |
| <li>提供按 key / 订单号查询状态的接口或页面</li> | |
| <li>把用户引导到“状态查询”,而不是鼓励无限重试</li> | |
| <li>对超时与失败做可恢复提示(例如“稍后在订单页确认”)</li> | |
| </ul> | |
| <h3>五、承认并管理现实中的失败</h3> | |
| <ul> | |
| <li>乱序、重复、丢失、崩溃与延迟都要覆盖</li> | |
| <li>timeout 作为怀疑器使用,避免把 timeout 当作失败证明</li> | |
| <li>考虑幂等记录的保留与清理策略(TTL、分区、冷热)</li> | |
| </ul> | |
| </section> | |
| <section id="sec-summary"> | |
| <h2>本章总结(Summary)</h2> | |
| <ul> | |
| <li>无故障时,exactly-once 的投递与处理很容易。</li> | |
| <li>有故障时,执行层面的 exactly-once 投递与处理不可达。</li> | |
| <li>若能保证:at-least-once 投递、at-least-once 处理、以及幂等的处理步骤,就能获得 exactly-once 处理语义。</li> | |
| <li>幂等往往是最复杂的部分之一,没有一招通吃。</li> | |
| <li>实现 exactly-once 语义与幂等,需要严谨的端到端设计,也需要把用户体验纳入“等价”定义。</li> | |
| <li>主要挑战来自:乱序、重复、丢失、崩溃、延迟,以及由此带来的不确定性与重试。</li> | |
| </ul> | |
| <div class="callout ok"> | |
| <strong>一句话收束:</strong> | |
| 重试是活性的代价,重复是重试的副产物;用幂等与事务把重复折叠成一次,让系统对外表现稳定。 | |
| </div> | |
| <p class="footer">© 本笔记为学习整理用途:根据本次对话与第 4 章要点重构为可阅读的网页结构。</p> | |
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| </head> | |
| <body> | |
| <div class="wrap"> | |
| <div class="topbar"> | |
| <div class="brand"> | |
| <div> | |
| <div class="title">Think Distributed Systems · 第 5 章:Transactions(事务)</div> | |
| <div class="subtitle">整理自本次对话 + 书中第 5 章,侧重“精华理解”与“可推理模型”</div> | |
| </div> | |
| </div> | |
| <div class="badge">阅读模式:侧边目录 · 长文</div> | |
| </div> | |
| <div style="height:14px"></div> | |
| <div class="layout"> | |
| <aside class="sidebar"> | |
| <div class="side-h"><b>目录</b><span class="mini">点击跳转</span></div> | |
| <nav class="toc" id="toc"> | |
| <a href="#intro">导读:为什么事务在分布式系统里这么“魔法”</a> | |
| <a href="#s51">5.1 抽象:把丑变美,改变“世界”</a> | |
| <a href="#s52">5.2 事务的魔法:Web 应用为何看不出“分布式”</a> | |
| <a href="#s521">5.2.1 并发:丢失更新与“看起来没有并发”</a> | |
| <a href="#s522">5.2.2 故障:部分应用与“看起来没有失败”</a> | |
| <a href="#s53">5.3 事务模型:对象、trace、history、翻译</a> | |
| <a href="#s531">5.3.1 正确性:一致性谓词、Hoare 三元组</a> | |
| <a href="#s532">5.3.2 可串行化:一致性模型与等价</a> | |
| <a href="#aha-serial">Aha:可串行化“容易做,难做快”</a> | |
| <a href="#s533">5.3.3 完备性:Undo / Redo 与回滚轨迹</a> | |
| <a href="#s534">5.3.4 应用层 abort:显式与隐式</a> | |
| <a href="#s535">5.3.5 平台层 abort:崩溃恢复与可重启 Undo</a> | |
| <a href="#aha-cons">Aha:Consistency 为何是“应用层保证”</a> | |
| <a href="#takeaways">总结:本章精华与工程提示</a> | |
| </nav> | |
| </aside> | |
| <main class="content" id="content"> | |
| <section class="section" id="intro"> | |
| <h2>导读:为什么事务在分布式系统里这么“魔法”</h2> | |
| <p>本章把事务视作一种强大的抽象:它让你在写业务逻辑与推理正确性时,几乎可以“假装并发与故障不存在”。这就是很多人一开始做 Web 应用时没意识到自己在做分布式系统的原因:事务把并发控制、失败检测与恢复等复杂性,封装到了数据库内部。</p> | |
| <div class="callout tip"> | |
| <div class="k">本章主线</div> | |
| <p><strong>定义层(definition)</strong>可以是对并发/故障无感的;<strong>执行层(execution)</strong>必须对并发/故障有感且可容错。数据库系统承担“翻译”,以保证<strong>正确性(correctness)</strong>与<strong>完备性(completeness)</strong>。</p> | |
| </div> | |
| <p class="mini">提示:书里也会提到 ACID,但本章更强调一种整体视角:用 correctness / completeness 去理解 ACID 这套“保证体系”。</p> | |
| </section> | |
| <section class="section" id="s51"> | |
| <h2>5.1 抽象:把丑变美,改变“世界”</h2> | |
| <p>作者从 SICP 的经典表述出发:程序的基本构件包括原始表达式、组合手段、抽象手段(给复合元素命名并当作整体操纵)。但作者更强调抽象的“精髓”:抽象会改变我们讨论问题的领域(domain of discourse),等于把整个世界的实体、关系、约束与语义重新塑形。</p> | |
| <div class="grid2"> | |
| <div class="callout"> | |
| <div class="k">丑与美</div> | |
| <p>对操作系统而言,CPU/RAM/磁盘是“丑陋接口”,OS 把它变成进程/内存/文件的“漂亮接口”。</p> | |
| <p>对数据库而言,进程/内存/文件又是“丑陋接口”,DB 把它变成表(行列)与事务的“漂亮接口”。</p> | |
| </div> | |
| <div class="callout"> | |
| <div class="k">递归分层</div> | |
| <p>更高层抽象建立在更低层抽象之上,直到抵达最基本原语。每跨越一次边界,你进入一个新的语义世界:实体不同、关系不同、约束不同。</p> | |
| </div> | |
| </div> | |
| <div class="callout tip"> | |
| <div class="k">自顶向下 vs 自底向上</div> | |
| <p><strong>自顶向下</strong>看到“归约/编译”:高层实体被翻译成低层实体;<strong>自底向上</strong>看到“组合/涌现”:低层实体组合产生高层实体。两者需要满足一种<strong>等价性</strong>:无论用高层还是低层推理,系统结果一致。</p> | |
| </div> | |
| <p class="mini">本章后续会把事务放进这套抽象观:事务把“并发/故障无感的定义”翻译成“并发/故障有感且可容错的执行”,并在外部效果上保持等价。</p> | |
| </section> | |
| <section class="section" id="s52"> | |
| <h2>5.2 事务的魔法:Web 应用为何看不出“分布式”</h2> | |
| <p>Web 应用是分布式应用:有并发请求、有网络不可靠、有组件可能失败。但很多开发者早期并不强烈感知这一点,因为事务把这些事实“遮住了”。如果你的应用建立在事务型数据库之上,事务保证会向上延伸,让系统整体行为变得可预测。</p> | |
| <div class="callout"> | |
| <div class="k">示例:转账接口(简化版)</div> | |
| <pre>app.post('/transfer', async (req, res) => { | |
| const { source, target, amount } = req.body; | |
| const query = ` | |
| BEGIN; | |
| UPDATE accounts SET balance = balance - $1 WHERE id = $2; | |
| UPDATE accounts SET balance = balance + $1 WHERE id = $3; | |
| COMMIT;`; | |
| await db.none(query, [amount, source, target]); | |
| res.status(200).end(); | |
| });</pre> | |
| <p class="mini">看点:handler 里几乎看不到并发控制、失败检测、失败恢复。但事务把这些“护栏”下沉到数据库内部。</p> | |
| </div> | |
| </section> | |
| <section class="section" id="s521"> | |
| <h2>5.2.1 并发:丢失更新与“看起来没有并发”</h2> | |
| <p>对单个账户余额的更新,本质是“读-改-写”,并发下容易出现竞态。图 5.4 的例子:初始 50,两笔并发各扣 10。两边都读到 50,并各自写回 40,最终变成 40,而期望是 30。这是典型的丢失更新(lost update)。</p> | |
| <figure> | |
| <img alt="Figure 5.4" 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"/> | |
| <figcaption>图 5.4:并发转账导致丢失更新(示意)。</figcaption> | |
| </figure> | |
| <div class="callout tip"> | |
| <div class="k">事务如何“遮住并发”</div> | |
| <p>事务的正确性保证要求:并发允许发生,但外部效果等价于某个串行顺序(可串行化语义)。数据库可通过锁、MVCC+冲突检测、验证等机制约束并发历史,使之落在“好历史”集合内。</p> | |
| </div> | |
| </section> | |
| <section class="section" id="s522"> | |
| <h2>5.2.2 故障:部分应用与“看起来没有失败”</h2> | |
| <p>对两个账户做转账,需要两次写操作:先扣再加。若在第一笔写之后、第二笔写之前发生崩溃或断连,就会留下“部分应用”的状态:源账户已扣,目标账户未加。图 5.5 的例子:50→(扣10)40 与 50 未变,期望应是 40 与 60。</p> | |
| <figure> | |
| <img alt="Figure 5.5" src="data:image/png;base64,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"/> | |
| <figcaption>图 5.5:故障导致部分应用(示意)。</figcaption> | |
| </figure> | |
| <div class="callout tip"> | |
| <div class="k">事务如何“遮住失败”</div> | |
| <p>事务的完备性保证要求:要么全部生效(commit),要么完全不生效(abort/rollback)。数据库通过崩溃恢复、日志与回滚机制,避免把中间态暴露为最终结果。</p> | |
| </div> | |
| <div class="callout warn"> | |
| <div class="k">工程提醒</div> | |
| <p>事务能保证“数据库内”这段逻辑的原子性与隔离,但<strong>不自动保证</strong>“HTTP 重试/网关重试导致的重复请求只执行一次”。这类问题通常需要幂等键、唯一约束、去重表或 token 机制。</p> | |
| </div> | |
| </section> | |
| <section class="section" id="s53"> | |
| <h2>5.3 事务模型:对象、trace、history、翻译</h2> | |
| <p>为便于推理,本章把数据库抽象成“对象集合”,每个对象可视作 name-value。然后用图 5.6 说明“程序(定义)与事务(执行)”的关系:程序是事务的定义,事务是程序的执行。</p> | |
| <div class="grid2"> | |
| <figure> | |
| <img alt="Figure 5.6 (program)" src="data:image/png;base64,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"/> | |
| <figcaption>图 5.6:程序 P(定义层)是一串对 name 的操作。</figcaption> | |
| </figure> | |
| <figure> | |
| <img alt="Figure 5.6 (transaction)" src="data:image/png;base64,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"/> | |
| <figcaption>图 5.6:事务 t(执行层)是一串对 object 的动作,最终 commit 或 abort。</figcaption> | |
| </figure> | |
| </div> | |
| <p>作者用 trace 表示事务:事务 <span class="pill">tx</span> 的 trace 是一串三元组 ⟨tx, aᵢ, oᵢ⟩。把 tx 带在三元组里,是为了分析多个事务的交织。</p> | |
| <div class="math">tx = [ ⟨tx, aᵢ, oᵢ⟩ | i = 1..n ]</div> | |
| <p>多个事务被数据库交织执行会形成 history(执行历史)。一致性模型会在 history 空间中划分“好/坏”历史。</p> | |
| <div class="math">history = [ ⟨tᵢⱼ, aᵢ, oᵢ⟩ | j = 1..m, i = 1..n ]</div> | |
| <figure> | |
| <img alt="Figure 5.7" src="data:image/png;base64,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"/> | |
| <figcaption>图 5.7:数据库把 failure-agnostic 的定义翻译成 failure-tolerant 的执行(同理可扩展到 concurrency)。</figcaption> | |
| </figure> | |
| </section> | |
| <section class="section" id="s531"> | |
| <h2>5.3.1 正确性:一致性谓词、Hoare 三元组</h2> | |
| <p>正确性讨论“并发无感定义 → 并发有感且可容忍执行”。事务被认为将数据库从一致状态带到一致状态,可用 Hoare 三元组表达:</p> | |
| <div class="math">{ C } tₓ { C }</div> | |
| <p>重要细节:一致性谓词 C 不要求在事务执行过程中始终成立。执行中间允许暂时不一致(例如转账先扣后加),但对外应保证这种中间态不被其他事务“当真”。</p> | |
| <figure> | |
| <img alt="Figure 5.8" 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"/> | |
| <figcaption>图 5.8:一致性谓词可在事务执行期间暂时不成立,但在事务前后应成立。</figcaption> | |
| </figure> | |
| <p>在无并发(串行)历史里,如果 t₁ 与 t₂ 都满足 {C}t{C},则顺序复合也满足:</p> | |
| <div class="math">{ C } t₁ { C } ∧ { C } t₂ { C } ⇒ { C } (t₁ ; t₂) { C }</div> | |
| <p>因此,两事务并发执行正确的充分条件是:并发效果等价于某个顺序执行(t₁ 在前或 t₂ 在前)。这就引出下一节的可串行化。</p> | |
| </section> | |
| <section class="section" id="s532"> | |
| <h2>5.3.2 可串行化:一致性模型与等价</h2> | |
| <p>可串行化是一个一致性模型:它是“对执行历史的谓词”,把历史划分为好/坏两类。作为工程师,你为系统选择一致性模型,本质是在选择哪些历史是允许发生的。</p> | |
| <figure> | |
| <img alt="Figure 5.9" src="data:image/png;base64,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"/> | |
| <figcaption>图 5.9:一致性模型把执行历史划分为 good / bad。</figcaption> | |
| </figure> | |
| <p>对两个事务 t₁、t₂ 的并发执行,如果 (transaction result, database state) 这个二元组与某个顺序执行等价,则该并发历史是可串行化的:</p> | |
| <div class="math">(t₁ || t₂) 可串行化 ⇔ 等价于 (t₁ • t₂) 或 (t₂ • t₁)</div> | |
| <figure> | |
| <img alt="Figure 5.10" src="data:image/png;base64,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