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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36
｜
第
3
章
不要在一个事件流中混合不同的事件类型，尤其是在演化上不兼容的事件类
型。事件流的创建开销很低，逻辑分离对于确保消费者在处理事件时拥有完
整的信息和明确的定义非常重要。
考虑到旧的事件流不再有新的事件产生，每个消费服务的消费者最终都将消费完所有事
件。随着时间的推移，流的事件保留期到达后最终将导致流的完全清除，此时所有消费者
都可以注销自己，并且可以删除事件流。
3.2
选择事件格式
虽然有许多选项可用于格式化和序列化事件数据，但数据契约最好使用定义明确的格式
（如
A
vro
、
Thrift
或
Protobuf
）来实现。一些最流行的事件代理框架支持序列化和反序列
化用这些格式编码的事件。例如，
Apache
Kafka
和
Apache Pulsar
支持
JSON
、
Protobuf
和
Avro schema
格式
。支持这两种事件代理的机制是
schema
注册，
14.5
节会对此进行更详细
的介绍。虽然对这些序列化选项的详细评估和比较超出了本书的范围，但是有许多在线资
源可以帮助你在这些选项中做出决策。
你可能倾向于选择一个更灵活的选项，也就是使用简单的键
/
值对表示纯文本的事件格式
，
它提供了一些结构，但是没有提供显式的
schema
或
schema
演化框架
。然而，这种方法要
谨慎使用，因为它会损害微服务通过强大的数据契约保持彼此隔离的能力，而导致需要更
多的团队间沟通。
非结构化的纯文本事件通常会成为生产者和消费者的负担，尤其是用例和数
据会随着时间的推移而发生变化。如前所述，建议选择支持受控的
schema
演化的强定义、显式的 ...
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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.