Query optimizations to address query complexity, data volumes and timeliness expectations with improved query execution techniques.
查询优化，通过改进的查询执行语言解决查询复杂性、数据量和及时性期望等相关问题。
Query optimizations to address query complexity, data volumes, and timeliness expectations with improved query execution techniques.
用于处理具有改进查询执行技术的查询复杂性、数据量和及时期望的查询优化。
In many situations, these options introduce performance problems, administrative challenges, increased query complexity, and other issues.
在许多情况下，这些选项都会导致性能问题、管理困难、查询的复杂性增加和其他问题。
Query parsing can be quite difficult because of the complexity of describing topics in relation to location, not to mention spelling mistakes, language ambiguity, and bad data.
查询解析可能相差甚远，因为描述与位置的关系很复杂，更何况还存在拼写错误、语言歧义和不良数据等。
Designing a query language for XML, however, is not a small task, precisely because of the complexity of XML data.
然而，正是由于XML数据的复杂性，所以为XML设计查询语言就不是一项小任务了。
Because of the complexity of the query language and the need to understand the data schema in order to compose the queries, training is required to use these applications.
由于查询语言的复杂性，并且要构成查询还需要了解数据模式，所以需要进行培训才能使用这些应用程序。
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。
A Query Builder API offering a new layer of abstraction on top of the existing Query API in order to hide complexity and reduce programming errors.
查询构建器api在现有的查询api基础上新增一抽象层，旨在隐藏原有api的复杂性，减少编程错误。
For queries of low or medium complexity, including the ones in the query MIML Data in DB2 section, the query performance is good.
对于复杂度较低或中等的查询，包括查询DB 2中的MIML数据小节中的查询，查询性能很好。
Depending on the complexity of the query and the size of the result set, the refresh operation may take a long time.
根据查询的复杂性和结果集的大小，刷新操作可能需要很长时间。
Report and query processing will be influenced by both the number of Concurrent users as well as by the complexity of your application.
报告和查询处理将受Concurrent用户数量和您应用程序复杂性的影响。
Complexity of the federated query: how many sub-operations such as filtering, joining, sorting, and so on, does the federation server need to execute to perform the query.
联合查询的复杂性：为了执行查询，联合服务器需要执行多少筛选、联接、排序之类的子操作。
Up to 32 levels of nesting is possible, although the limit varies based on available memory and the complexity of other expressions in the query.
尽管根据可用内存和查询中其他表达式的复杂程度的不同，嵌套限制也有所不同，但嵌套到32层是可能的。
There are disadvantages of traditional vector space model in computational complexity, query efficiency and intelligence.
传统向量空间模型在计算复杂度、查询性能、智能性方面存在种种缺陷。
Furthermore, the perspective query algorithm can decrease the complexity of implementing the mechanism.
通过采用透视查询算法，简化了该机制实现的复杂度。
Hash function plays an important role in the query algorithm, and the query algorithms based on it achieves a constant time complexity in theory.
散列函数在查询算法中起着重要作用，基于此的查询算法在理论上可达到常数级时间复杂度。
The lemma of query equivalent and lemma of limited steps was proved and the complexity of information query algorithm in different conditions was discussed.
证明了关于查询等价和有限步数引理，讨论了不同条件下信息检索算法的复杂度，并在试验中验证了信息动态路由算法的可行性和高效率。
The data query method and the data query device can reduce the time complexity of the data query of the system and improve the utilization rate of the system resource.
采用本发明可以降低系统的数据查询时间复杂度，提高了系统资源的利用率。
After describing real application, it presents the best location query, the priority of target object, the heuristic rule to delete data objects, and analyzes the time complexity of the algorithm.
在叙述实际应用的基础上抽象出最优位置查询概念，提出目标对象的优先权度量标准、删减数据对象的启发式规则和最优位置查询算法，分析最优位置查询算法的时间复杂度。
The search space of parallel query execution plan is exponential complexity. How to prune the search space efficiently is the key problem of parallel query optimization.
并行查询执行计划的搜索空间里指数级增长，如何高效地裁剪搜索空间是并行查询优化的关键所在。
Meanwhile, the optimization also includes reducing the computational complexity of the query optimization of trimming, and query results combination which considered both space and time cost.
同时，优化中还包括降低计算复杂度的查询裁剪的优化，以及兼顾空间和时间开销的查询结果合并方式。
Meanwhile, the optimization also includes reducing the computational complexity of the query optimization of trimming, and query results combination which considered both space and time cost.
同时，优化中还包括降低计算复杂度的查询裁剪的优化，以及兼顾空间和时间开销的查询结果合并方式。
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