January 2018
Beginner to intermediate
234 pages
7h 8m
Chinese
Content preview from Kafka权威指南
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120
｜
第
8
章
高成本
不管你是在本地还是在云端运行
Kafka
，集群之间的通信都需要更高的成本。部分原因
是因为带宽有限，而增加带宽是很昂贵的，当然，这个与供应商制定的在数据中心、区
域和云端之间传输数据的收费策略也有关系。
Kafka
服务器和客户端是按照单个数据中心进行设计、开发、测试和调优的。我们假设服
务器和客户端之间具有很低的延迟和很高的带宽，在使用默认的超时时间和缓冲区大小时
也是基于这个前提。因此，我们不建议跨多个数据中心安装
Kafka
服务器（不过稍后会介
绍一些例外情况）。
大多数情况下，我们要避免向远程的数据中心生成数据，但如果这么做了，那么就要忍受
高延迟，并且需要通过增加重试次数（
LinkedIn
曾经为跨集群镜像设置了
32 000
多次重试
次数）和增大缓冲区来解决潜在的网络分区问题（生产者和服务器之间临时断开连接）。
如果有了跨集群复制的需求，同时又禁用了从
broker
到
broker
之间的通信以及从生产者到
broker
之间的通信，那么我们必须允许从
broker
到消费者之间的通信。事实上，这是最安
全的跨集群通信方式。在发生网络分区时，消费者无法从
Kafka
读取数据，数据会驻留在
Kafka
里，直到通信恢复正常。因此，网络分区不会造成任何数据丢失。不过，因为带宽
有限，如果一个数据中心的多个应用程序需要从另一个数据中心的
Kafka
服务器上读取数
据，我们倾向于为每一个数据中心安装一个
Kafka
集群，并在这些集群间复制数据，而不
是让不同的应用程序通过广域网访问数据。
在讨论更多有关跨数据中心通信的调优策略之前，我们需要先知道以下一些架构原则。 ...
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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.