From 815fe35671d772edadf4eaee167d826d017ae8fb Mon Sep 17 00:00:00 2001 From: holiday Date: Mon, 30 Oct 2023 15:46:28 +0800 Subject: [PATCH] Added Chinese Translation for Commander patterns --- localization/zh/commander/README.md | 24 ++++++++++++++++++ .../zh/commander/etc/commander.urm.png | Bin 0 -> 322274 bytes 2 files changed, 24 insertions(+) create mode 100644 localization/zh/commander/README.md create mode 100644 localization/zh/commander/etc/commander.urm.png diff --git a/localization/zh/commander/README.md b/localization/zh/commander/README.md new file mode 100644 index 000000000000..9ee832f1b7e0 --- /dev/null +++ b/localization/zh/commander/README.md @@ -0,0 +1,24 @@ +--- +title: Commander +category: Concurrency +language: zh +tag: + - Cloud distributed +--- + +## 目的 + +> 用于处理执行分布式事务时可能遇到的所有问题。 + +## 类图 +![alt text](./etc/commander.urm.png "Commander class diagram") + +## 适用场合 +当我们需要提交两个数据库去完成事务,提交不是原子性且可能因此造成问题时,适合用这个设计模式。 + +## 解释 +处理分布式事务很棘手,但如果我们不仔细处理,可能会带来不想要的后果。假设我们有一个电子商务网站,它有一个支付微服务和一个运输微服务。如果当前运输可用,但支付服务不可用,或者反之,当我们已经收到用户的订单后,我们应该如何处理?我们需要有一个机制来处理这些情况。我们必须将订单指向其中一个服务(在这个例子中是运输),然后将订单添加到另一个服务的数据库中(在这个例子中是支付),因为两个数据库不能原子地更新。如果我们当前无法做到这一点,应该有一个队列,可以将这个请求排队,并且必须有一个机制,允许队列中出现失败。所有这些都需要通过不断的重试,在保证幂等性(即使请求多次,变化只应用一次)的情况下,由一个指挥类来完成,以达到最终一致性的状态。 + +## 鸣谢 + +* [Distributed Transactions: The Icebergs of Microservices](https://www.grahamlea.com/2016/08/distributed-transactions-microservices-icebergs/) diff --git a/localization/zh/commander/etc/commander.urm.png b/localization/zh/commander/etc/commander.urm.png new file mode 100644 index 0000000000000000000000000000000000000000..6b5ebba75bd64a971924f4a3f8a2a89b7df905d7 GIT binary patch literal 322274 zcmeFZcUzO&^F17oM>&d!ihziK4Ui%TNN*O3bdcUbr1##5g(6*g3q)z5_uhgaAYHoD z7>Z~Ct`QvW65l&vpUXUapj`QtJj_IQ zlYcFiB{JQQE%<$nwQQl0ftvh=d$%Jh<_0Q%itVD?Bh`ofvoTFcD^ZJT$e%Z8%@bHe z)2TC>yA(cHcuz>v|S^%tUzQEWj#Fd@0TTK?37;EtNU>^+DowBjqTY+b^!`-SpPV 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