In general, you want to use caching to optimize only high volume, high frequency access of data.
总而言之，您需要使用缓存来优化数据的高容量和高访问频率。
Developers must write code to implement the data access layer, including optimizing SQL queries, caching results to optimize performance, without compromising an application's footprint.
开发人员必须编写代码来实现数据访问层，包括优化SQL查询、缓存结果以优化性能，而不会损害应用程序的规模。
The first is the most straightforward: optimize your code. There are a few things you can do here, like re-factoring and caching, that will help your apps run faster.
最直接的方法是优化你的代码：重构和缓存可以让你的程序运行更快，优化代码是最诚恳也是最最显而易见的减少等待时间的方式。
There are ways to overcome this; for example, you may manually optimize the database queries, clean some code, compress CSS, and implement caching.
这个问题是有办法克服的；例如，可以手工优化数据库查询、清除某些代码、压缩CSS和实现缓存。
This paper introduces P2P caching systems to optimize network traffic.
本文介绍了一种P 2 P流量优化技术——P 2 P缓存系统。
NET was used to access database and to optimize the data access so as to achieve the flexible configuration on system power and page caching technology for alleviating the burden of CPU.
NET技术访问数据库及优化数据访问，实现了系统权限的灵活配置并且运用页面缓存技术来减轻CPU的负担。
NET was used to access database and to optimize the data access so as to achieve the flexible configuration on system power and page caching technology for alleviating the burden of CPU.
NET技术访问数据库及优化数据访问，实现了系统权限的灵活配置并且运用页面缓存技术来减轻CPU的负担。
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