It is worth the time to figure out how to get query caching working for you.
花时间确定如何让查询缓存为你工作是值得的。
Although you can use memcached to store the rows of data as loaded from a database, this is really query caching, and most databases provide their own query-caching mechanism.
虽然可以使用memcached存储加载自数据库的数据行，但这实际上是查询缓存，并且大多数数据库都提供各自的查询缓存的机制。
Moreover, if you decided to cache based on the individual unique parts of a SOAP envelope, there is no way to indicate if the query is suitable for such caching.
此外，如果您决定在一个SOAP信封单独的、唯一的部分的基础上进行高速缓存，那么没什么办法来表明这个查询是否适于这种高速缓存。
It permits the use of 64 bit data source drivers and can leverage the 64 bit address space for query processing, metadata caching and data caching.
它允许使用64位数据源驱动程序，且可以利用64位满足查询处理、元数据缓存和数据缓存的空间。
Given a choice between optimizing a query and caching a page, caching the page will give you a far greater return, if you can stomach the complexity.
在优化查询和缓存页面这两个选项当中，如果您能“消受”复杂性，缓存页面将会带来更大的回报。
File system caching significantly improves CLOB retrieval performance (see Figure 6) such that query Q1 can be more than twice as fast as on the XML column.
文件系统缓存大大改进了clob检检索性能(参见图6)，因此查询Q 1速度能够达到xml列的两倍以上。
There are, of course, other options that may be even better here, such as caching the results of the query on the server and rebinding the control with each request.
当然，有一些其他可能更好的选择，例如缓存服务器的查询结果，每次发出请求时重新绑定控件。
File system caching has a significant impact only on query Q1 which retrieves all documents without any predicate evaluation.
文件系统缓存仅对查询Q1(检索全部文档，无谓词运算)有较大影响。
The caching logic available in Dynamic Query Mode is able, when connected to secured metadata sources, to determine the secured access capabilities of each user as they access the data source.
当连接到安全的元数据源时，DynamicQueryMode下提供的缓存逻辑能够在每个用户访问数据源时确定安全的元数据源。
The query and metadata caching results in the second run always executes faster than the first run. For example, looking at this Entity SQL query.
由于查询与元数据缓存的存在，使得第二次运行的执行速度总是比第一次运行快。
An XML query language (XQuery) is very useful for implementing caching with feature objects.
XML查询语言(XML query language,Xquery)对于使用功能对象来实现缓存非常有用。
To improve performance, federation frequently USES caching, materialized query tables (MQTs), and distributed query optimization and execution.
要改进性能，联合需要经常使用缓存、物理查询表(MQT)以及分布式查询优化和执行。
The Query Service Caching section under the Configuration tab allows for manual Dynamic Query cache clearing and writing the cache state to file for one or more server groups.
Configuration选项卡下的QueryServiceCaching部分允许手动清理Dynamic Query缓存并为一个或多个服务器组将缓存状态写到文件上。
Client resource index caching mechanism and the iterative query forward mechanism are adopted in the system design to enhance the search efficiency and success ratio.
系统采用客户资源索引缓存机制和“迭代深入”的查询转发机制，提高了搜索的效率和成功率。
The HyperText Caching protocol (HTCP) is a better query protocol that is used to discover cache servers on local networks and to inquire if URLs are contained on the servers.
超文本高速缓存协议(HTCP)是一种更好的查询协议，用来发现本地网络上的高速缓存服务器，以及查询这些服务器上是否包含所需的URL。
This article studies the mobile environment based on client-side semantic caching of query processing.
本文主要研究移动环境下基于客户端语义缓存的查询处理。
Query processing is a key problem in semantic caching.
在语义缓存查询处理是一个关键问题。
Based on this data and semantic caching, we discussed several situations of query processing, including the exact match query and cache, including matching, cross matching, disjoint matching.
基于这样的缓存数据和语义，我们讨论了查询处理的几种情况，包括查询与缓存的精确匹配、包含匹配、相交匹配、不相交匹配等四种匹配情况。
Finally, research on these issues, designs and implements query processing system based on client-side semantic caching in mobile computing environment.
最后，通过对上述问题的研究，设计并实现移动计算环境下客户端语义缓存的查询系统。
Finally, research on these issues, designs and implements query processing system based on client-side semantic caching in mobile computing environment.
最后，通过对上述问题的研究，设计并实现移动计算环境下客户端语义缓存的查询系统。
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