mirror of
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Update the solutions notebooks and README files to reflect new GitHub repository links for source, ensuring consistency across the documentation.
This commit is contained in:
Ido777
@@ -1,6 +1,6 @@
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# 为 Amazon 设计分类售卖排行
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**注意：这个文档中的链接会直接指向[系统设计主题索引](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#系统设计主题的索引)中的有关部分，以避免重复的内容。你可以参考链接的相关内容，来了解其总的要点、方案的权衡取舍以及可选的替代方案。**
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**注意：这个文档中的链接会直接指向[系统设计主题索引](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#系统设计主题的索引)中的有关部分，以避免重复的内容。你可以参考链接的相关内容，来了解其总的要点、方案的权衡取舍以及可选的替代方案。**
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## 第一步：简述用例与约束条件
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@@ -95,7 +95,7 @@ t5 product4 category1 1 5.00 5 6
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...
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```
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**售卖排行服务** 需要用到 **MapReduce**，并使用 **售卖 API** 服务进行日志记录，同时将结果写入 **SQL 数据库**中的总表 `sales_rank` 中。我们也可以讨论一下[究竟是用 SQL 还是用 NoSQL](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#sql-还是-nosql)。
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**售卖排行服务** 需要用到 **MapReduce**，并使用 **售卖 API** 服务进行日志记录，同时将结果写入 **SQL 数据库**中的总表 `sales_rank` 中。我们也可以讨论一下[究竟是用 SQL 还是用 NoSQL](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#sql-还是-nosql)。
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我们需要通过以下步骤使用 **MapReduce**：
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@@ -197,15 +197,15 @@ FOREIGN KEY(category_id) REFERENCES Categories(id)
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FOREIGN KEY(product_id) REFERENCES Products(id)
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```
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我们会以 `id`、`category_id` 与 `product_id` 创建一个 [索引](https://github.com/donnemartin/system-design-primer#use-good-indices)以加快查询速度（只需要使用读取日志的时间，不再需要每次都扫描整个数据表）并让数据常驻内存。从内存读取 1 MB 连续数据大约要花 250 微秒，而从 SSD 读取同样大小的数据要花费 4 倍的时间，从机械硬盘读取需要花费 80 倍以上的时间。<sup><a href=https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#每个程序员都应该知道的延迟数>1</a></sup>
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我们会以 `id`、`category_id` 与 `product_id` 创建一个 [索引](https://github.com/ido777/system-design-primer-update#use-good-indices)以加快查询速度（只需要使用读取日志的时间，不再需要每次都扫描整个数据表）并让数据常驻内存。从内存读取 1 MB 连续数据大约要花 250 微秒，而从 SSD 读取同样大小的数据要花费 4 倍的时间，从机械硬盘读取需要花费 80 倍以上的时间。<sup><a href=https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#每个程序员都应该知道的延迟数>1</a></sup>
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### 用例：用户需要根据分类浏览上周中最受欢迎的商品
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* **客户端**向运行[反向代理](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#反向代理web-服务器)的 **Web 服务器**发送一个请求
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* **客户端**向运行[反向代理](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#反向代理web-服务器)的 **Web 服务器**发送一个请求
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* 这个 **Web 服务器**将请求转发给**查询 API** 服务
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* The **查询 API** 服务将从 **SQL 数据库**的 `sales_rank` 表中读取数据
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我们可以调用一个公共的 [REST API](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#表述性状态转移rest)：
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我们可以调用一个公共的 [REST API](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#表述性状态转移rest)：
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```
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$ curl https://amazon.com/api/v1/popular?category_id=1234
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@@ -234,7 +234,7 @@ $ curl https://amazon.com/api/v1/popular?category_id=1234
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},
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```
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而对于服务器内部的通信，我们可以使用 [RPC](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#远程过程调用协议rpc)。
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而对于服务器内部的通信，我们可以使用 [RPC](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#远程过程调用协议rpc)。
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## 第四步：架构扩展
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@@ -250,19 +250,19 @@ $ curl https://amazon.com/api/v1/popular?category_id=1234
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我们将会介绍一些组件来完成设计，并解决架构扩张问题。内置的负载均衡器将不做讨论以节省篇幅。
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**为了避免重复讨论**，请参考[系统设计主题索引](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#系统设计主题的索引)相关部分来了解其要点、方案的权衡取舍以及可选的替代方案。
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**为了避免重复讨论**，请参考[系统设计主题索引](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#系统设计主题的索引)相关部分来了解其要点、方案的权衡取舍以及可选的替代方案。
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* [DNS](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#域名系统)
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* [负载均衡器](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#负载均衡器)
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* [水平拓展](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#水平扩展)
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* [反向代理（web 服务器）](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#反向代理web-服务器)
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* [API 服务（应用层）](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#应用层)
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* [缓存](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#缓存)
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* [关系型数据库管理系统 (RDBMS)](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#关系型数据库管理系统rdbms)
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* [SQL 故障主从切换](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#故障切换)
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* [主从复制](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#主从复制)
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* [一致性模式](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#一致性模式)
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* [可用性模式](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#可用性模式)
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* [DNS](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#域名系统)
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* [负载均衡器](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#负载均衡器)
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* [水平拓展](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#水平扩展)
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* [反向代理（web 服务器）](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#反向代理web-服务器)
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* [API 服务（应用层）](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#应用层)
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* [缓存](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#缓存)
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* [关系型数据库管理系统 (RDBMS)](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#关系型数据库管理系统rdbms)
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* [SQL 故障主从切换](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#故障切换)
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* [主从复制](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#主从复制)
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* [一致性模式](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#一致性模式)
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* [可用性模式](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#可用性模式)
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**分析数据库** 可以用现成的数据仓储系统，例如使用 Amazon Redshift 或者 Google BigQuery 的解决方案。
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SQL 缩放模式包括：
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* [联合](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#联合)
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* [分片](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#分片)
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* [非规范化](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#非规范化)
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* [SQL 调优](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#sql-调优)
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* [联合](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#联合)
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* [分片](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#分片)
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* [非规范化](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#非规范化)
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* [SQL 调优](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#sql-调优)
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我们也可以考虑将一些数据移至 **NoSQL 数据库**。
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@@ -287,50 +287,50 @@ SQL 缩放模式包括：
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#### NoSQL
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* [键-值存储](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#键-值存储)
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* [文档类型存储](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#文档类型存储)
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* [列型存储](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#列型存储)
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* [图数据库](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#图数据库)
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* [SQL vs NoSQL](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#sql-还是-nosql)
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* [键-值存储](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#键-值存储)
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* [文档类型存储](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#文档类型存储)
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* [列型存储](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#列型存储)
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* [图数据库](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#图数据库)
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* [SQL vs NoSQL](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#sql-还是-nosql)
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### 缓存
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* 在哪缓存
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* [客户端缓存](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#客户端缓存)
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* [CDN 缓存](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#cdn-缓存)
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* [Web 服务器缓存](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#web-服务器缓存)
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* [数据库缓存](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#数据库缓存)
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* [应用缓存](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#应用缓存)
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* [客户端缓存](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#客户端缓存)
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* [CDN 缓存](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#cdn-缓存)
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* [Web 服务器缓存](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#web-服务器缓存)
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* [数据库缓存](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#数据库缓存)
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* [应用缓存](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#应用缓存)
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* 什么需要缓存
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* [数据库查询级别的缓存](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#数据库查询级别的缓存)
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* [对象级别的缓存](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#对象级别的缓存)
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* [数据库查询级别的缓存](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#数据库查询级别的缓存)
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* [对象级别的缓存](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#对象级别的缓存)
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* 何时更新缓存
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* [缓存模式](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#缓存模式)
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* [直写模式](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#直写模式)
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* [回写模式](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#回写模式)
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* [刷新](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#刷新)
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* [缓存模式](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#缓存模式)
|
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* [直写模式](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#直写模式)
|
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* [回写模式](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#回写模式)
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* [刷新](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#刷新)
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### 异步与微服务
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* [消息队列](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#消息队列)
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* [任务队列](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#任务队列)
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* [背压](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#背压)
|
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* [微服务](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#微服务)
|
||||
* [消息队列](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#消息队列)
|
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* [任务队列](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#任务队列)
|
||||
* [背压](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#背压)
|
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* [微服务](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#微服务)
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### 通信
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* 可权衡选择的方案：
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* 与客户端的外部通信 - [使用 REST 作为 HTTP API](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#表述性状态转移rest)
|
||||
* 服务器内部通信 - [RPC](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#远程过程调用协议rpc)
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* [服务发现](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#服务发现)
|
||||
* 与客户端的外部通信 - [使用 REST 作为 HTTP API](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#表述性状态转移rest)
|
||||
* 服务器内部通信 - [RPC](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#远程过程调用协议rpc)
|
||||
* [服务发现](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#服务发现)
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### 安全性
|
||||
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||||
请参阅[「安全」](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#安全)一章。
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||||
请参阅[「安全」](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#安全)一章。
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### 延迟数值
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||||
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请参阅[「每个程序员都应该知道的延迟数」](https://github.com/donnemartin/system-design-primer/blob/master/README-zh-Hans.md#每个程序员都应该知道的延迟数)。
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请参阅[「每个程序员都应该知道的延迟数」](https://github.com/ido777/system-design-primer-update/blob/master/README-zh-Hans.md#每个程序员都应该知道的延迟数)。
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### 持续探讨
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||||
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||||
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||||
@@ -1,6 +1,6 @@
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# Design Amazon's sales rank by category feature
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||||
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||||
*Note: This document links directly to relevant areas found in the [system design topics](https://github.com/donnemartin/system-design-primer#index-of-system-design-topics) to avoid duplication. Refer to the linked content for general talking points, tradeoffs, and alternatives.*
|
||||
*Note: This document links directly to relevant areas found in the [system design topics](https://github.com/ido777/system-design-primer-update#index-of-system-design-topics) to avoid duplication. Refer to the linked content for general talking points, tradeoffs, and alternatives.*
|
||||
|
||||
## Step 1: Outline use cases and constraints
|
||||
|
||||
@@ -95,7 +95,7 @@ t5 product4 category1 1 5.00 5 6
|
||||
...
|
||||
```
|
||||
|
||||
The **Sales Rank Service** could use **MapReduce**, using the **Sales API** server log files as input and writing the results to an aggregate table `sales_rank` in a **SQL Database**. We should discuss the [use cases and tradeoffs between choosing SQL or NoSQL](https://github.com/donnemartin/system-design-primer#sql-or-nosql).
|
||||
The **Sales Rank Service** could use **MapReduce**, using the **Sales API** server log files as input and writing the results to an aggregate table `sales_rank` in a **SQL Database**. We should discuss the [use cases and tradeoffs between choosing SQL or NoSQL](https://github.com/ido777/system-design-primer-update#sql-or-nosql).
|
||||
|
||||
We'll use a multi-step **MapReduce**:
|
||||
|
||||
@@ -196,15 +196,15 @@ FOREIGN KEY(category_id) REFERENCES Categories(id)
|
||||
FOREIGN KEY(product_id) REFERENCES Products(id)
|
||||
```
|
||||
|
||||
We'll create an [index](https://github.com/donnemartin/system-design-primer#use-good-indices) on `id `, `category_id`, and `product_id` to speed up lookups (log-time instead of scanning the entire table) and to keep the data in memory. Reading 1 MB sequentially from memory takes about 250 microseconds, while reading from SSD takes 4x and from disk takes 80x longer.<sup><a href=https://github.com/donnemartin/system-design-primer#latency-numbers-every-programmer-should-know>1</a></sup>
|
||||
We'll create an [index](https://github.com/ido777/system-design-primer-update#use-good-indices) on `id `, `category_id`, and `product_id` to speed up lookups (log-time instead of scanning the entire table) and to keep the data in memory. Reading 1 MB sequentially from memory takes about 250 microseconds, while reading from SSD takes 4x and from disk takes 80x longer.<sup><a href=https://github.com/ido777/system-design-primer-update#latency-numbers-every-programmer-should-know>1</a></sup>
|
||||
|
||||
### Use case: User views the past week's most popular products by category
|
||||
|
||||
* The **Client** sends a request to the **Web Server**, running as a [reverse proxy](https://github.com/donnemartin/system-design-primer#reverse-proxy-web-server)
|
||||
* The **Client** sends a request to the **Web Server**, running as a [reverse proxy](https://github.com/ido777/system-design-primer-update#reverse-proxy-web-server)
|
||||
* The **Web Server** forwards the request to the **Read API** server
|
||||
* The **Read API** server reads from the **SQL Database** `sales_rank` table
|
||||
|
||||
We'll use a public [**REST API**](https://github.com/donnemartin/system-design-primer#representational-state-transfer-rest):
|
||||
We'll use a public [**REST API**](https://github.com/ido777/system-design-primer-update#representational-state-transfer-rest):
|
||||
|
||||
```
|
||||
$ curl https://amazon.com/api/v1/popular?category_id=1234
|
||||
@@ -233,7 +233,7 @@ Response:
|
||||
},
|
||||
```
|
||||
|
||||
For internal communications, we could use [Remote Procedure Calls](https://github.com/donnemartin/system-design-primer#remote-procedure-call-rpc).
|
||||
For internal communications, we could use [Remote Procedure Calls](https://github.com/ido777/system-design-primer-update#remote-procedure-call-rpc).
|
||||
|
||||
## Step 4: Scale the design
|
||||
|
||||
@@ -249,20 +249,20 @@ It's important to discuss what bottlenecks you might encounter with the initial
|
||||
|
||||
We'll introduce some components to complete the design and to address scalability issues. Internal load balancers are not shown to reduce clutter.
|
||||
|
||||
*To avoid repeating discussions*, refer to the following [system design topics](https://github.com/donnemartin/system-design-primer#index-of-system-design-topics) for main talking points, tradeoffs, and alternatives:
|
||||
*To avoid repeating discussions*, refer to the following [system design topics](https://github.com/ido777/system-design-primer-update#index-of-system-design-topics) for main talking points, tradeoffs, and alternatives:
|
||||
|
||||
* [DNS](https://github.com/donnemartin/system-design-primer#domain-name-system)
|
||||
* [CDN](https://github.com/donnemartin/system-design-primer#content-delivery-network)
|
||||
* [Load balancer](https://github.com/donnemartin/system-design-primer#load-balancer)
|
||||
* [Horizontal scaling](https://github.com/donnemartin/system-design-primer#horizontal-scaling)
|
||||
* [Web server (reverse proxy)](https://github.com/donnemartin/system-design-primer#reverse-proxy-web-server)
|
||||
* [API server (application layer)](https://github.com/donnemartin/system-design-primer#application-layer)
|
||||
* [Cache](https://github.com/donnemartin/system-design-primer#cache)
|
||||
* [Relational database management system (RDBMS)](https://github.com/donnemartin/system-design-primer#relational-database-management-system-rdbms)
|
||||
* [SQL write master-slave failover](https://github.com/donnemartin/system-design-primer#fail-over)
|
||||
* [Master-slave replication](https://github.com/donnemartin/system-design-primer#master-slave-replication)
|
||||
* [Consistency patterns](https://github.com/donnemartin/system-design-primer#consistency-patterns)
|
||||
* [Availability patterns](https://github.com/donnemartin/system-design-primer#availability-patterns)
|
||||
* [DNS](https://github.com/ido777/system-design-primer-update#domain-name-system)
|
||||
* [CDN](https://github.com/ido777/system-design-primer-update#content-delivery-network)
|
||||
* [Load balancer](https://github.com/ido777/system-design-primer-update#load-balancer)
|
||||
* [Horizontal scaling](https://github.com/ido777/system-design-primer-update#horizontal-scaling)
|
||||
* [Web server (reverse proxy)](https://github.com/ido777/system-design-primer-update#reverse-proxy-web-server)
|
||||
* [API server (application layer)](https://github.com/ido777/system-design-primer-update#application-layer)
|
||||
* [Cache](https://github.com/ido777/system-design-primer-update#cache)
|
||||
* [Relational database management system (RDBMS)](https://github.com/ido777/system-design-primer-update#relational-database-management-system-rdbms)
|
||||
* [SQL write master-slave failover](https://github.com/ido777/system-design-primer-update#fail-over)
|
||||
* [Master-slave replication](https://github.com/ido777/system-design-primer-update#master-slave-replication)
|
||||
* [Consistency patterns](https://github.com/ido777/system-design-primer-update#consistency-patterns)
|
||||
* [Availability patterns](https://github.com/ido777/system-design-primer-update#availability-patterns)
|
||||
|
||||
The **Analytics Database** could use a data warehousing solution such as Amazon Redshift or Google BigQuery.
|
||||
|
||||
@@ -274,10 +274,10 @@ To address the 40,000 *average* read requests per second (higher at peak), traff
|
||||
|
||||
SQL scaling patterns include:
|
||||
|
||||
* [Federation](https://github.com/donnemartin/system-design-primer#federation)
|
||||
* [Sharding](https://github.com/donnemartin/system-design-primer#sharding)
|
||||
* [Denormalization](https://github.com/donnemartin/system-design-primer#denormalization)
|
||||
* [SQL Tuning](https://github.com/donnemartin/system-design-primer#sql-tuning)
|
||||
* [Federation](https://github.com/ido777/system-design-primer-update#federation)
|
||||
* [Sharding](https://github.com/ido777/system-design-primer-update#sharding)
|
||||
* [Denormalization](https://github.com/ido777/system-design-primer-update#denormalization)
|
||||
* [SQL Tuning](https://github.com/ido777/system-design-primer-update#sql-tuning)
|
||||
|
||||
We should also consider moving some data to a **NoSQL Database**.
|
||||
|
||||
@@ -287,50 +287,50 @@ We should also consider moving some data to a **NoSQL Database**.
|
||||
|
||||
#### NoSQL
|
||||
|
||||
* [Key-value store](https://github.com/donnemartin/system-design-primer#key-value-store)
|
||||
* [Document store](https://github.com/donnemartin/system-design-primer#document-store)
|
||||
* [Wide column store](https://github.com/donnemartin/system-design-primer#wide-column-store)
|
||||
* [Graph database](https://github.com/donnemartin/system-design-primer#graph-database)
|
||||
* [SQL vs NoSQL](https://github.com/donnemartin/system-design-primer#sql-or-nosql)
|
||||
* [Key-value store](https://github.com/ido777/system-design-primer-update#key-value-store)
|
||||
* [Document store](https://github.com/ido777/system-design-primer-update#document-store)
|
||||
* [Wide column store](https://github.com/ido777/system-design-primer-update#wide-column-store)
|
||||
* [Graph database](https://github.com/ido777/system-design-primer-update#graph-database)
|
||||
* [SQL vs NoSQL](https://github.com/ido777/system-design-primer-update#sql-or-nosql)
|
||||
|
||||
### Caching
|
||||
|
||||
* Where to cache
|
||||
* [Client caching](https://github.com/donnemartin/system-design-primer#client-caching)
|
||||
* [CDN caching](https://github.com/donnemartin/system-design-primer#cdn-caching)
|
||||
* [Web server caching](https://github.com/donnemartin/system-design-primer#web-server-caching)
|
||||
* [Database caching](https://github.com/donnemartin/system-design-primer#database-caching)
|
||||
* [Application caching](https://github.com/donnemartin/system-design-primer#application-caching)
|
||||
* [Client caching](https://github.com/ido777/system-design-primer-update#client-caching)
|
||||
* [CDN caching](https://github.com/ido777/system-design-primer-update#cdn-caching)
|
||||
* [Web server caching](https://github.com/ido777/system-design-primer-update#web-server-caching)
|
||||
* [Database caching](https://github.com/ido777/system-design-primer-update#database-caching)
|
||||
* [Application caching](https://github.com/ido777/system-design-primer-update#application-caching)
|
||||
* What to cache
|
||||
* [Caching at the database query level](https://github.com/donnemartin/system-design-primer#caching-at-the-database-query-level)
|
||||
* [Caching at the object level](https://github.com/donnemartin/system-design-primer#caching-at-the-object-level)
|
||||
* [Caching at the database query level](https://github.com/ido777/system-design-primer-update#caching-at-the-database-query-level)
|
||||
* [Caching at the object level](https://github.com/ido777/system-design-primer-update#caching-at-the-object-level)
|
||||
* When to update the cache
|
||||
* [Cache-aside](https://github.com/donnemartin/system-design-primer#cache-aside)
|
||||
* [Write-through](https://github.com/donnemartin/system-design-primer#write-through)
|
||||
* [Write-behind (write-back)](https://github.com/donnemartin/system-design-primer#write-behind-write-back)
|
||||
* [Refresh ahead](https://github.com/donnemartin/system-design-primer#refresh-ahead)
|
||||
* [Cache-aside](https://github.com/ido777/system-design-primer-update#cache-aside)
|
||||
* [Write-through](https://github.com/ido777/system-design-primer-update#write-through)
|
||||
* [Write-behind (write-back)](https://github.com/ido777/system-design-primer-update#write-behind-write-back)
|
||||
* [Refresh ahead](https://github.com/ido777/system-design-primer-update#refresh-ahead)
|
||||
|
||||
### Asynchronism and microservices
|
||||
|
||||
* [Message queues](https://github.com/donnemartin/system-design-primer#message-queues)
|
||||
* [Task queues](https://github.com/donnemartin/system-design-primer#task-queues)
|
||||
* [Back pressure](https://github.com/donnemartin/system-design-primer#back-pressure)
|
||||
* [Microservices](https://github.com/donnemartin/system-design-primer#microservices)
|
||||
* [Message queues](https://github.com/ido777/system-design-primer-update#message-queues)
|
||||
* [Task queues](https://github.com/ido777/system-design-primer-update#task-queues)
|
||||
* [Back pressure](https://github.com/ido777/system-design-primer-update#back-pressure)
|
||||
* [Microservices](https://github.com/ido777/system-design-primer-update#microservices)
|
||||
|
||||
### Communications
|
||||
|
||||
* Discuss tradeoffs:
|
||||
* External communication with clients - [HTTP APIs following REST](https://github.com/donnemartin/system-design-primer#representational-state-transfer-rest)
|
||||
* Internal communications - [RPC](https://github.com/donnemartin/system-design-primer#remote-procedure-call-rpc)
|
||||
* [Service discovery](https://github.com/donnemartin/system-design-primer#service-discovery)
|
||||
* External communication with clients - [HTTP APIs following REST](https://github.com/ido777/system-design-primer-update#representational-state-transfer-rest)
|
||||
* Internal communications - [RPC](https://github.com/ido777/system-design-primer-update#remote-procedure-call-rpc)
|
||||
* [Service discovery](https://github.com/ido777/system-design-primer-update#service-discovery)
|
||||
|
||||
### Security
|
||||
|
||||
Refer to the [security section](https://github.com/donnemartin/system-design-primer#security).
|
||||
Refer to the [security section](https://github.com/ido777/system-design-primer-update#security).
|
||||
|
||||
### Latency numbers
|
||||
|
||||
See [Latency numbers every programmer should know](https://github.com/donnemartin/system-design-primer#latency-numbers-every-programmer-should-know).
|
||||
See [Latency numbers every programmer should know](https://github.com/ido777/system-design-primer-update#latency-numbers-every-programmer-should-know).
|
||||
|
||||
### Ongoing
|
||||
|
||||
|
||||
Reference in New Issue
Block a user