relational中文,relational的意思,relational翻译及用法

2026-03-22 06:02 浏览次数 17

relational

英[rɪˈleɪʃənl]美[rɪ'leɪʃənl]

adj. 相关的;亲属的

relational 英语释义

英语释义

  • having a relation or being related

relational 片语

片语

relational coiling[遗] 相关螺旋

relational algebra[数] 关系代数

relational spiral相关螺旋

relational model[计] 关系模型

Relational ArtRelational art or relational aesthetics is a mode or tendency in fine art practice originally observed and highlighted by French art critic Nicolas Bourriaud. Bourriaud defined the approach as "a set of artistic practices which take as their theoretical and practical point of departure the whole of human relations and their social context, rather than an independent and private space.

Relational Operators关系运算符

relational expression[计] 关系表达式

relational data关系型数据

Relational Stack相关堆栈

relational language[计] 关系语言

relational graph相关图形;关系图

Relational marketing关系营销

relational database[计] 关系数据库

relational 例句

英汉例句

  • they are relational databases that provide the strengths of the relational model and its set processing.

    这两种都是关系型的数据库,因而包含了关系模型及其集合处理的长处。

  • if you want the federated server to push down the evaluation of a function to a relational data source, you must use a function mapping for that data source.

    如果您希望联邦服务器将函数的计算下推到一个关系数据源,那么必须使用那个数据源的一个函数映射。

  • so just what is the relationship between xml and the relational data model?

    那么xml与关系数据模型之间的关系究竟是怎样的?

  • relational databases provide the capability for the sql statements to access information from more than one table through a joining of multiple tables.

    关系数据库为sql语句提供了从一个以上的表中访问信息的能力,这是通过连接多个表来完成的。

  • relational databases and desktop statistics or visualization packages can「t handle big data; instead, massively parallel software running on up to thousands of servers is needed to do the job.

    首先,关系型数据库和桌面分析或者虚拟化包不能处理大数据,相反,运行在数千台服务器上的大量并行软件需要做这个工作。

  • based on the selection, the city population and ranking are fetched from the database and displayed in a relational record list.

    基于所选择的城市,将从数据库中获取城市人口和等级,并显示在一个关联记录列表中。

  • we will explore the difference in the application code, database queries and the relational schemas for the two environments.

    我们将研究这两个环境在应用程序代码、数据库查询和关系模式方面的差异。

  • the bottom line is any piece of relational tacit knowledge could be made explicit but logistics prevent it all being made explicit at once.

    其底线在于,相关联隐性知识的任何一个点都可以显性化,但物流原理防止它立刻全部显性化。

  • however, you can use a relational record as an alternative to display the information without any coding.

    但是,您可以使用一个关联记录作为一个替代,来显示不包含任何代码的信息。

  • for instance, this would be a good approach to implementing a run on demand report that compiles statistics from the relational data and displays them to the user.

    例如,对于实现按需运行的报告(它从关系数据库收集统计信息,并向用户显示这些信息)来说,这就是一种好方法。

  • the signature of the relation focuses on the mappings between uml models and relational schemas without really expressing how their content should be mapped.

    关联签名主要关注uml模型和关联计划之间的映射,但是并不表达它们的内容应如何映射。

  • all of this leads to the notion of using rss to store information that previously might be stored in a relational database.

    所有这些导致产生一种新的观念,即使用rss存储信息,而以前可能使用关系数据库存储这些信息。

  • during the registration of a data source object on a relational data source, default type mappings determine how a data source data type should map to a db2 type for each column.

    在注册一个关系数据源上的一个数据源对象时,默认的类型映射决定如何将一个数据源数据类型映射到每个列的db2类型。

  • if your document is pure data, however, it still makes more sense to bring it into a relational database for manipulation.

    但是,如果您的文档是纯数据,那么将该文档引入到关系型数据库中进行操作会更有意义。

  • one of these tables contains only traditional relational columns, while the second contains relational columns and one xml column.

    这两个表的其中之一仅包含传统的关系列,而另一个包含关系列和一个xml列。

  • in a nutshell, include relational columns in a sql/xml publishing view, and when querying the view express any predicates on those columns rather than on the constructed xml.

    总而言之,将关系列包括在sql/xml发布视图中,在查询视图时,在那些关系列上表达谓词,而不是在构造的xml 上表达谓词。

  • this is necessary to isolate the relational layer from the object layer, but this convenience comes at the cost of performance.

    这对于将关系层与对象层分离是必需的,但这种便利是以牺牲性能为代价获得的。

  • the tool described in this section allows users to generate default mapping and relational schema for any given xml schema.

    本节所描述的工具允许用户为任何给定的xml模式生成默认映射和关系模式。

  • using this model as input, you will be able to run an mtf task and generate the related relational schema.

    使用这个模型作为输入,你将能够运行一个mtf任务并产生相关的关联模型。

  • so one of the things that we」re doing at this event is, how do we unlock the data and do it more easily than traditional relational databases, etc.

    因此,我们在本次会议中的一个侧重点就是,如何释放数据以及如何比传统的关系数据库更简单地做到这一点,等等。

  • you will create two relational record lists.

    您将创建两个关联记录列表。

  • you also have the option to extract audit records into delimited ascii files, which can then be loaded into db2 relational tables for analysis and querying.

    也可以将审计记录提取到定界ascii文件中,然后可以将这些文件装载到db2关系表中,以便进行分析和查询。

  • this differs greatly from relational databases, which rely heavily on relationships to normalize data storage.

    这与十分依赖规范化数据存储关系的关系型数据库有很大不同。

  • however, even if an attribute is not required, its value might affect the behavior of the relational resource.

    但是,即使某个属性不是必需的,该属性的值也会影响相关资源的行为。

  • for odbc clients, resources are published as relational constructs, such as tables and stored procedures.

    对于odbc客户端,资源是以关系型结构发布的,如表格和存储过程。

  • to fix this method, you can add new custom methods to make relational requests across tables.

    要修复这个问题,可以添加新的自定义方法跨多个表进行相关请求。

  • we could have done this with the original example also by using a relational view with computed columns.

    我们原本还可以对最初的例子使用具有计算列的关系视图来实现这一点。

  • one of these tables contains only relational data, while the other contains both relational and xml data.

    其中一个数据仓库表只包含关系数据,另一个表同时包含关系数据和xml数据。

  • the input and output steps of the assembly have a distinguished role: they transform relational data into hierarchical data and hierarchical data back to relational data, respectively.

    程序集的输入和输出步骤有一个突出的作用:它们将关系型数据转换成分层数据,再将分层数据转换到关系型数据。

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