用户查询订单细节（基于订单ID）。
用户查询所有订单。
知道这些约束有助于联邦服务器进一步简化用户查询。
Knowing such constraints can help the federated server to further simplify user queries.
MQT应用用户查询考虑应用的谓词的相同集合或子集。
The MQT applies the same set or a subset of predicates that the user query under consideration applies.
可通过组中的索引减少的用户查询的平均成本。
Average cost of the user queries that could be reduced by the index in the group.
它是要负责响应用户查询的,30秒的等待时间实在太长了.
Since this needs to be run in response to a user query, 30 seconds was just too long to wait.
咨询知识库是供用户查询知识并获得参考服务的平台。
Reference repository is a service platform for users to search knowledge and obtain reference services.
搜索和浏览Portlet允许门户用户查询集合并浏览相关联的分类。
The search and browse portlet enables portal users to query collections and browse associated taxonomies.
下面两个例子演示了如何使用那样的约束来简化用户查询和提供更好的性能。
The following two examples demonstrate how such constraints can be used to simplify a user query and provide better performance.
IncludePermissions为指定用户查询一项内容对应的权限。
IncludePermissions Retrieves the permissions for a piece of content for the given user.
StockData基于用户查询过滤历史证券数据(在一个CSV文件中)。
StockData filters historical stock data (in a CSV file) based on user queries.
接下来，将要实现一个真实的位置搜索应用程序来处理用户查询和呈现搜索结果。
From here, a real local-search application will need to investigate how best to scale, handle user queries, and visualize the results.
客户端具有以用户查询的点为中心显示地图以及计算两点距离的功能。
The client has two main functions, one is displaying a map with the center of the user request, the other is calculating the distance of two points.
利用互信息从用户查询日志中提取短语并与通用词典相结合构建主题式词典。
According to their mutual information, phrases are extracted from the log and they are combined with a general dictionary to construct a topic-specific dictionary.
本网络文件管理系统主要由用户查询、系统管理、用户管理三大功能模块组成。
This documents system mainly by the user inquiry, the system administration, the user manages three big functional modules to be composed.
用户查询信息，输错一个名字时可能会意识到这个错误，检查拼写，并且再试一次。
A user who mistypes a name may realize the mistake, check the spelling, and try again.
用户查询一个多维数据集时，CubeServer将联系DB2并请求它验证用户。
When users query a cube, the Cube Server makes contact with DB2 and requests that it authenticate the users.
在实际用户查询上的实验表明，我们的方法在纠错效果和系统性能方面都有良好的表现。
Experiments on the real user queries showed that our system has achieved great performance in terms of both effectiveness and efficiency.
对显式知识需求、隐式知识需求、用户查询历史以及知识需求分析过程进行了形式化的定义。
To measure the implicit knowledge requirement objectively, we defined an index set based on corpus and knowledge structure.
通过语义推理、查询导航，以及对查询结果相关性反馈信息的处理，更好地理解用户查询意图；
By semantic inference, inquiring navigation and processing the correlation feedback information inquired out, the system can understands the intention of customer better.
这些附加的源列，加上用户查询中附加的源连接谓词，可以帮助重写阶段识别不会产生任何连接结果的连接。
These additional source columns, combined with additional source join predicates in user queries, help the rewrite phase identify joins that will not produce any join results.
一但链接到代理单元与设备于本地格式有相互影响和转换用户查询到SNMP和HTTP的回应。
Once connected the agent units interact with the device in native format and translate user queries into SNMP and HTTP responses.
在这种情况下，行必须对用户查询可见，但是需要将这些很少被访问的行转移到更便宜的、性能更低的存储上。
In this case, the rows must still be visible to user queries but there is a desire to move these seldom accessed rows to cheaper, lower performance storage.
本文通过对真实用户查询日志的标注和分析，发现基于规则的方法可以对用户意图进行有效的识别。
By analyzing and manually labeling a large number of real user query log, we found rules were very useful in identifying user intents.
与IT紧密相关的办法是管理报告，终端用户查询，多维分析，仪表板，记分卡和数据挖掘的一种。
The IT-intensive approach is one of managed reporting, end-user query, OLAP, dashboards, scorecards and data mining.
在用户查询词语过程中，可以将一些希望特别记忆的词语加入生词本，随时方便再一次对这些词语学习。
With the increase of functional use words in terms of user queries, we can hope that some of the special memory of the words by adding new words, once again at any time convenient to learn the words.
已知文档与用户查询之间相同概念不同表达形式造成的词不匹配问题是影响信息检索效果的重要原因之一。
The word mismatch problem of various expressions of the same concept between known document resources and user query is one of the main factors that hurt the retrieval performance.
现在我们来看看在评价和使用这些特性时关键的考虑角度：性能，尤其是通常的数据仓库业务的用户查询的性能。
We now turn to the first key consideration in evaluating and using these features: performance, specifically, performance of typical warehouse business user queries. These queries tend to.
为了说明这一点，可以设想一个Web应用程序，其中将大量的轻量级用户查询交互转换为WebSphereMQ消息。
To illustrate, imagine a Web application in which a high volume of lightweight user inquiry interactions are converted to WebSphere MQ messages.
为了说明这一点，可以设想一个Web应用程序，其中将大量的轻量级用户查询交互转换为WebSphereMQ消息。
To illustrate, imagine a Web application in which a high volume of lightweight user inquiry interactions are converted to WebSphere MQ messages.
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