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简介
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序言
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第一部分：数据系统的基石
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第一章：可靠性、可伸缩性、可维护性
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第二章：数据模型与查询语言
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第三章：存储与检索
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第二部分：分布式数据
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第五章：复制
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第六章：分区
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第七章：事务
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第八章：分布式系统的麻烦
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第十二章：数据系统的未来
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<a href="." >第一部分：数据系统的基石</a>
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<h1 id="第一部分--数据系统的基石">第一部分 数据系统的基石</h1>
<p>本书前四章介绍了数据系统底层的基础概念，无论是在单台机器上运行的单点数据系统，还是分布在多台机器上的分布式数据系统都适用。</p>
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<li><a href="ch1.html">第一章</a>将介绍本书使用的术语和方法。<strong>可靠性，可伸缩性和可维护性</strong> ，这些词汇到底意味着什么？如何实现这些目标？</li>
<li><a href="ch2.html">第二章</a>将对几种不同的<strong>数据模型和查询语言</strong>进行比较。从程序员的角度看，这是数据库之间最明显的区别。不同的数据模型适用于不同的应用场景。</li>
<li><a href="ch3.html">第三章</a>将深入<strong>存储引擎</strong>内部，研究数据库如何在磁盘上摆放数据。不同的存储引擎针对不同的负载进行优化，选择合适的存储引擎对系统性能有巨大影响。</li>
<li><a href="ch4">第四章</a>将对几种不同的 <strong>数据编码</strong>进行比较。特别研究了这些格式在应用需求经常变化、模式需要随时间演变的环境中表现如何。</li>
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<p>第二部分将专门讨论在<strong>分布式数据系统</strong>中特有的问题。</p>
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<li><a href="ch1.html">可靠性、可伸缩性、可维护性</a></li>
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<li><a href="ch3.html">存储与检索</a></li>
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<td><a href="./">设计数据密集型应用</a></td>
<td><a href="ch1.html">第一章：可靠性、可伸缩性、可维护性</a></td>
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