从数据查看器或在一个图中选择表。
Select the table either from the data viewer or in a diagram.
数据查询表示立方体中的数据选择。
图1是一个二维的数据查找图。
What you see in Figure 1 is a 2-dimensional lookup of our data.
使用SQL支持特定数据查询
另一个容易得到的数据查询方法是 XQuery。
The other data query alternative that was easily available was XQuery.
通过创建索引提高IBMTSOM历史数据查询性能。
Creating indexes for better performance with IBM TSOM historical queries.
通过应用程序元数据查明问题在应用程序源代码中的位置。
Application metadata to pinpoint problems in the application source.
变音位匹配是根据查询词的语音发音生成关键字的算法方法。
Metaphone matching is an algorithmic method for generating keys based on the phonetic pronunciation of words.
性能比较使用与之前文章相同的测试代码，即地震数据查询服务。
The performance comparisons use the same test code as earlier articles, a seismic data retrieval service.
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。
Depending on the complexity of the query and the size of the result set, the refresh operation may take a long time.
实现该行为需要连接数据查看器widget和图widget。
This behavior is achieved by wiring the data viewer widget to the chart widget.
但也不一定，因为索引中列的顺序也许会根据查询而有很大差异。
But not always, because the order of the columns in the index can make a big difference depending on the query. For example, consider this query.
数据查看器widget显示销售人员名称及其负责地区组成的列表。
The data viewer widget displays the list of salesmen's names and their associated territories.
服务存储的主要目的是为了提供基于构件特定的元数据查找构件的功能。
The main purpose of the service repository is to provide the ability to find artifacts, based on artifact-specific metadata.
为此，发出一个空间数据查询，搜索其中心包含在海啸线内的所有城市。
To find out, issue a spatial data query that reports all cities such that the bounding box of the tsunami line intersects the geographical city center.
作为一种函数式语言，Clojure为数据查询和操作提供了新方法。
Being a functional language, Clojure brings new tricks to data query and manipulation.
只有在执行大块操作或是在多个原子单元间进行数据查询时才建议关闭过滤。
When Filtering is suggested to be turned off only when performing bulk operations or when querying data over many atomic units.
关键在于虽然数据是一样的，但可以根据查看数据的人而展现出不同的方式。
The point is that the same data is available, but presented in the most relevant manner for the individual viewing that data.
可以组合这些表示维、边界和数据查询的基本查询类型，以建模更复杂的情况。
You can combine these basic query types, which represent the dimension, edge, and data queries described here, to model more complex situations.
该函数会判断元素是否已经高亮显示了类名，并根据查找结果执行添加或删除。
This function then determines if the element already has the class name highlight, and removes or adds based on its findings.
服务使用XQuery根据对服务请求元数据查询的结果描述判定缓冲是否有效。
The service USES XQuery to determine if the cache is valid based on a query to the metadata description of the service request.
这个iWidget 实际上是一个数据查看器，所查看的数据来自某个存储库。
The iWidget that you'll develop is basically a viewer for the data that is being fetched from a repository.
了解源之间的关系，以及该关系与用于描述业务的数据查看方式的业务术语如何相关。
Understand the relationship between sources and how that relates to the business terms that describe how the business sees the data.
事实上，如果没有开源许可的GDAL，多数现代地理空间数据查看器将是不可思议的。
In fact, without the open source-licensed GDAL, most modern geodata viewers would be unthinkable.
数据查看器widget使用销售人员关系表格生成的feed填充，需要以下几个步骤。
The data viewer widget is populated using a feed generated from the salesman relational table. To create a relational feed, complete the following steps.
QGIS和其他较为简单的数据查看器用于探测各种数据格式和覆盖此行星系统的所有数据集。
QGIS and other simpler data viewers lend themselves to exploring various data formats and the world of data sets covering this planetary system.
Google工程师宣称BigTable中数据查询的响应时间只根据结果数据集的大小确定。
Google engineers claim that the response time of data queries in BigTable is only determined by the size of the result dataset.
单击数据查看器widget的一行时，图widget将发生变化，显示选定销售人员的销售量。
When you click on a row in the data viewer widget, the chart widget changes to display the sales for the selected salesman.
这两款手机的数据查询量从08年9月份以来增长了19倍，占所有智能手机数据查询量的43%。
The data traffic created by these two handhelds has increased 19 times from September 2008 to this past month and now accounts for 43% of all smartphone requests worldwide.
消费者希望能够方便地搜索数据，数据库中的数据查询方便，但是XML文档中的数据就不那么容易了。
Consumers expect to be able to search through data easily, and while this works nicely with data in databases, it's not so trivial with data in XML documents.
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