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<h1 class="page__title" itemprop="headline">ServiceComb中的数据最终一致性方案 - part 1
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少于 1 分钟 阅读
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<p>数据一致性是许多系统的关键部分,特别是在微服务和云的环境下。我们最近在ServiceComb下发布了<a href="https://github.com/apache/incubator-servicecomb-saga">Saga</a>项目,
以解决数据一致性问题。但为什么数据一致性如此重要?Saga又是什么?</p>
<h2 id="单体应用的数据一致性">单体应用的数据一致性</h2>
<p>想象一下如果我们经营着一家大型企业,下属有航空公司、租车公司、和连锁酒店。我们为客户提供一站式的旅游行程规划服务,这样客户只需要提供出行目的地,
我们帮助客户预订机票、租车、以及预订酒店。从业务的角度,我们必须保证<strong>上述三个服务的预订都完成才能满足一个成功的旅游行程,否则不能成行</strong></p>
<p>我们的单体应用要满足这个需求非常简单,只需将这个三个服务请求放到同一个数据库事务中,数据库会帮我们保证全部成功或者全部回滚。</p>
<p><img src="/assets/images/saga.monolithic.png" alt="单体应用" class="align-center" /></p>
<p>当这个功能上线以后,公司非常满意,客户也非常高兴。</p>
<h2 id="微服务场景下的数据一致性">微服务场景下的数据一致性</h2>
<p>这几年中,我们的行程规划服务非常成功,企业蒸蒸日上,用户量也翻了数十倍。企业的下属航空公司、租车公司、和连锁酒店也相继推出了更多服务以满足客户需求,
我们的应用和开发团队也因此日渐庞大。如今我们的单体应用已变得如此复杂,以至于没人了解整个应用是怎么运作的。更糟的是新功能的上线现在需要所有研发团队合作,
日夜奋战数周才能完成。看着市场占有率每况愈下,公司高层对研发部门越来越不满意。</p>
<p>经过数轮讨论,我们最终决定将庞大的单体应用一分为四:机票预订服务、租车服务、酒店预订服务、和支付服务。服务各自使用自己的数据库,并通过HTTP协议通信。
负责各服务的团队根据市场需求按照自己的开发节奏发版上线。如今我们面临新的挑战:如何保证最初<strong>三个服务的预订都完成才能满足一个成功的旅游行程,
否则不能成行</strong>的业务规则?现在服务有各自的边界,而且数据库选型也不尽相同,通过数据库保证数据一致性的方案已不可行。</p>
<p><img src="/assets/images/saga.service.boundary.png" alt="服务边界" class="align-center" /></p>
<h2 id="sagas">Sagas</h2>
<p>幸运的是我们在互联网找到一篇精彩的<a href="https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf">论文</a>,文中提出的数据一致性解决方案<em>Saga</em>恰好满足我们的业务要求。</p>
<blockquote>
<p>Saga是一个长活事务,可被分解成可以交错运行的子事务集合。其中每个子事务都是一个保持数据库一致性的真实事务。[<a href="https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf">1</a>]</p>
</blockquote>
<p>在我们的业务场景下,一个行程规划的事务就是一个Saga,其中包含四个子事务:机票预订、租车、酒店预订、和支付。</p>
<p><img src="/assets/images/saga.transactions.png" alt="事务" class="align-center" /></p>
<p><a href="http://www.chrisrichardson.net/">Chris Richardson</a>在他的文章<a href="http://microservices.io/patterns/data/saga.html">Pattern: Saga</a>中对Saga有所描述。
Caitie McCaffrey也在她的<a href="https://www.youtube.com/watch?v=xDuwrtwYHu8">演讲</a>中提到如何在微软的<a href="https://en.wikipedia.org/wiki/Halo_4">光晕 4</a>游戏中如何应用saga解决数据一致性问题。</p>
<h3 id="saga的运行原理">Saga的运行原理</h3>
<blockquote>
<p>Saga中的事务相互关联,应作为(非原子)单位执行。任何未完全执行的Saga是不满足要求的,如果发生,必须得到补偿。要修正未完全执行的部分,
每个saga子交易T<sub>1</sub>应提供对应补偿事务C<sub>1</sub>[<a href="https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf">1</a>]</p>
</blockquote>
<p>我们根据上述规则定义以下事务及其相应的事务补偿:</p>
<table>
<thead>
<tr>
<th style="text-align: center">服务</th>
<th style="text-align: center">事务</th>
<th style="text-align: center">补偿</th>
</tr>
</thead>
<tbody>
<tr>
<td style="text-align: center">机票预订</td>
<td style="text-align: center">预订机票</td>
<td style="text-align: center">取消预订</td>
</tr>
<tr>
<td style="text-align: center">租车</td>
<td style="text-align: center">租车</td>
<td style="text-align: center">取消预订</td>
</tr>
<tr>
<td style="text-align: center">酒店预订</td>
<td style="text-align: center">预订房间</td>
<td style="text-align: center">取消预订</td>
</tr>
<tr>
<td style="text-align: center">支付</td>
<td style="text-align: center">支付</td>
<td style="text-align: center">退款</td>
</tr>
</tbody>
</table>
<blockquote>
<p>当每个saga子事务 T<sub>1</sub>, T<sub>2</sub>, …, T<sub>n</sub> 都有对应的补偿定义 C<sub>1</sub>, C<sub>2</sub>, …, C<sub>n-1</sub>,
那么saga系统可以保证 [<a href="https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf">1</a>]</p>
<ul>
<li>子事务序列 T<sub>1</sub>, T<sub>2</sub>, …, T<sub>n</sub>得以完成 (最佳情况)</li>
<li>或者序列 T<sub>1</sub>, T<sub>2</sub>, …, T<sub>j</sub>, C<sub>j</sub>, …, C<sub>2</sub>, C<sub>1</sub>, 0 &lt; j &lt; n, 得以完成</li>
</ul>
</blockquote>
<p>换句话说,通过上述定义的事务/补偿,saga保证满足以下业务规则:</p>
<ul>
<li>所有的预订都被执行成功,如果任何一个失败,都会被取消</li>
<li>如果最后一步付款失败,所有预订也将被取消</li>
</ul>
<h3 id="saga的恢复方式">Saga的恢复方式</h3>
<p><a href="https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf">原论文</a>中描述了两种类型的Saga恢复方式:</p>
<ul>
<li><strong>向后恢复</strong> <em>补偿</em>所有已完成的事务,如果任一子事务失败</li>
<li><strong>向前恢复</strong> <em>重试</em>失败的事务,假设每个子事务最终都会成功</li>
</ul>
<p>显然,向前恢复没有必要提供补偿事务,如果你的业务中,子事务(最终)总会成功,或补偿事务难以定义或不可能,向前恢复更符合你的需求。</p>
<p>理论上补偿事务永不失败,然而,在分布式世界中,服务器可能会宕机,网络可能会失败,甚至数据中心也可能会停电。在这种情况下我们能做些什么?
最后的手段是提供回退措施,比如人工干预。</p>
<h3 id="使用saga的条件">使用Saga的条件</h3>
<p>Saga看起来很有希望满足我们的需求。所有长活事务都可以这样做吗?这里有一些限制:</p>
<ul>
<li>Saga只允许两个层次的嵌套,顶级的Saga和简单子事务 [<a href="https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf">1</a>]</li>
<li>在外层,全原子性不能得到满足。也就是说,sagas可能会看到其他sagas的部分结果 [<a href="https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf">1</a>]</li>
<li>每个子事务应该是独立的原子行为 [2]</li>
</ul>
<p>在我们的业务场景下,航班预订、租车、酒店预订和付款是自然独立的行为,而且每个事务都可以用对应服务的数据库保证原子操作。</p>
<p>我们在行程规划事务层面也不需要原子性。一个用户可以预订最后一张机票,而后由于信用卡余额不足而被取消。同时另一个用户可能开始会看到已无余票,
接着由于前者预订被取消,最后一张机票被释放,而抢到最后一个座位并完成行程规划。</p>
<p>补偿也有需考虑的事项:</p>
<blockquote>
<p>补偿事务从语义角度撤消了事务T<sub>i</sub>的行为,但未必能将数据库返回到执行T<sub>i</sub>时的状态。(例如,如果事务触发导弹发射,
则可能无法撤消此操作)[<a href="https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf">1</a>]</p>
</blockquote>
<p>但这对我们的业务来说不是问题。其实难以撤消的行为也有可能被补偿。例如,发送电邮的事务可以通过发送解释问题的另一封电邮来补偿。</p>
<h2 id="总结">总结</h2>
<p>现在我们有了通过Saga来解决数据一致性问题的方案。它允许我们成功地执行所有事务,或在任何事务失败的情况下,补偿已成功的事务。
虽然Saga不提供<a href="https://en.wikipedia.org/wiki/ACID">ACID</a>保证,但仍适用于许多数据最终一致性的场景。那我们如何设计一个Saga系统?
让我们在下一篇博文来回答这个问题。</p>
<h2 id="参考">参考</h2>
<ol>
<li><a href="https://www.cs.cornell.edu/andru/cs711/2002fa/reading/sagas.pdf">Original Paper on Sagas</a> by By Hector Garcia-Molina &amp; Kenneth Salem</li>
<li>Gifford, David K and James E Donahue, “Coordinating Independent Atomic Actions”, Proceedings of IEEE COMPCON, San Francisco, CA, February, 1985</li>
<li>Chris Richardson: http://www.chrisrichardson.net/</li>
<li>ServiceComb Saga Project: https://github.com/apache/incubator-servicecomb-saga</li>
</ol>
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