January 2018
Beginner to intermediate
234 pages
7h 8m
Chinese
Content preview from Kafka权威指南
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8
｜
第
1
章
消费者从一个集群读取消息，生产者把消息发送到另一个集群上。图
1-8
展示了一个使
用
MirrorMaker
的例子，两个“本地”集群的消息被聚集到一个“聚合”集群上，然后将
该集群复制到其他数据中心。不过，这种方式在创建复杂的数据管道方面显得有点力不从
心。第
7
章将详细讨论这些案例。
生产者
数据中心A 数据中心B
数据中心C
生产 生产
生产
生产者消费者 消费者
消费
消费者 消费者
Kafka本地集群 Kafka本地集群
Kafka聚合集群 Kafka聚合集群
Kafka聚合集群
消费 消费
MirrorMaker
MirrorMaker
MirrorMaker
图 1-8：多数据中心架构
1.3
为什么选择
Kafka
基于发布与订阅的消息系统那么多，为什么
Kafka
会是一个更好的选择呢？
1.3.1
多个生产者
Kafka
可以无缝地支持多个生产者，不管客户端在使用单个主题还是多个主题。所以它很
适合用来从多个前端系统收集数据，并以统一的格式对外提供数据。例如，一个包含了多
个微服务的网站，可以为页面视图创建一个单独的主题，所有服务都以相同的消息格式向
该主题写入数据。消费者应用程序会获得统一的页面视图，而无需协调来自不同生产者的
数据流。
1.3.2
多个消费者
除了支持多个生产者外，
Kafka
也支持多个消费者从一个单独的消息流上读取数据，而且
消费者之间互不影响。这与其他队列系统不同，其他队列系统的消息一旦被一个客户端读
取，其他客户端就无法再读取它。另外，多个消费者可以组成一个群组，它们共享一个消
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