To speed this up, you can cache the results from a search query and use these cached results whenever a user submits a query.
为了提速，您可以高速缓存从搜索查询得到的结果，然后在用户每次提交查询时使用这些缓存的结果。
Initial execution of any query includes the costs of building up a query cache to enable faster execution of subsequent queries.
任何一个查询的首次执行都包含了构建一个查询缓存的性能损耗，以利于提高后续查询的执行速度。
MySQL can speed the query phase using its query cache.
MySQL可以使用其查询缓存为查询阶段提速。
MySQL has a feature called the query cache that stores the result of a query in memory, should it be needed again.
MySQL有一个特性称为查询缓存，它将（后面会用到的）查询结果保存在内存中。
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。
The sequence I follow when performing reads is to take a request (that requires a database query) from the Web tier and check the cache for previously stored results of that query.
我执行读取操作的顺序是从web层获取请求(需要执行一次数据库查询)并检查之前在缓存中存储的查询结果。
Using correlative query cache to replace tradition cache, the article designs and implements the cache structure, query matching, strategy of consistency and strategy of replacement.
设计使用基于查询相关查询的缓存代替传统缓存，对于缓存的结构、查询匹配、一致性维护策略及替换策略均作了详细设计。
The cache is dynamically loaded with former query results, and is organized by cache item descriptions corresponding to query statements.
缓存根据客户查询动态实现，内容由以往查询结果组成，并通过对应于查询描述的缓存描述项组织。
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。
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。
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