October 2021
Beginner to intermediate
250 pages
7h 11m
Chinese
Content preview from 微服务与事件驱动架构
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138
｜
第
10
章
白天，可以上线更多的处理实例以处理增加的事件负载。在此场景中，数据存储的查询率
也会增加，但是缓存、分区和批处理等有助于将负载保持在低于跟随处理需求线性增长所
要求的值。
谷歌、亚马逊和微软等服务供应商提供了高度可伸缩的按读
/
写收费的数据
存储，这非常适用于此模式。
10.2
具有外部流处理的混合
BPC
应用程序
BPC
微服务还可以利用外部流处理系统来完成本地可能难以完成的工作。这是一种混合的
应用程序模式，业务逻辑分布在
BPC
和外部流处理框架之间
。第
11
章要介绍的重量级框
架是这方面的优秀候选，因为它们可以通过简单的集成提供大规模流处理。
BPC
实现可以让程序具备原本不具有的操作能力
，同时仍然可以使用所有必要的原有语言
特性和库。例如，你可以使用外部流处理框架执行跨多个事件流的复杂聚合操作，同时使
用
BPC
微服务将结果填充到本地数据存储并提供“请求
–
响应”查询。
示例
：
使用外部流处理框架来联结事件流
假设
BPC
服务需要使用流处理框架的联结能力（流处理框架擅长于联结物化事件流的大
型集合）。外部流处理器可以简单地将事件流物化到表，并将具有相同键的行联结到一起。
这个简单的联结操作如图
10-4
所示。
物化表
“numbers”
联结的输出事件流
联结
物化表
“greetings”
值键 值键
图 10-4：流处理框架大规模执行的典型外包操作
基础的生产者和消费者微服务
｜
139
混合的
BPC
需要使用兼容的客户端来启用在外部事件流处理框架上的工作。这个客户端
会把代码转换成框架的指令，框架本身会处理消费、联结并生成事件到联结的输出事件流 ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.