May 2020
Beginner to intermediate
319 pages
7h 3m
Chinese
Content preview from 数据库系统内幕
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272
第二部分总结
性能和扩展性是数据库系统的重要属性。存储引擎和节点本地的读写路径可能会对系统
性能
产生较大影响：决定在本地能够多快地处理请求。同时，负责集群内通信的子系统
通常对数据库的
扩展性
产生较大的影响：决定集群大小和容量的上限。但是，如果一个
存储引擎缺乏扩展性，其性能随着数据集的增长而下降，那它也只能用于有限的场景。
若把很慢的原子提交协议构建在最快的存储引擎上，也不会产生好的结果。
分布式的、集群范围的以及本地节点上的进程是相互联系的，必须整体地考虑。设计数
据库系统时，你必须考虑不同子系统如何配合协作。
第二部分首先讨论了分布式系统与单节点应用程序的不同，以及在分布式环境下会遇到
哪些困难。
我们讨论了分布式系统的基本构成、各种一致性模型以及几个重要类别的分布式算法，
其中一些可用于实现这些一致性模型：
故障检测
准确且高效地识别远程进程的故障。
领导者选举
快速且可靠地选择一个进程作为临时协调者。
消息传播
使用点到点通信可靠地分发信息。
反熵
识别并修复节点间的状态差异。
第二部分总结
｜
273
分布式事务
在多个分区上原子地执行一系列操作。
共识
在远程参与者之间达成一致，并且能容忍一定程度的进程故障。
这些算法被用在许多数据库系统、消息队列、调度器等重要的基础架构软件中。利用本
书中的知识，你能更好地了解它们的工作方式，从而帮助你更好地决定应当使用哪个软 ...
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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.