RXDB supports a unified relational language RQL.
RXDB支持统一的关系用户语言rql。
In a relational language, such a query would require a join that might span several data tables and system catalog tables.
而在关系语言中，这种查询需要进行也许跨越了多个数据表和系统目录表的联接。
The result is likely to be a language with a more complex semantic definition than that of a relational language such as SQL.
其结果很可能产生其语义定义比关系语言(如sql)更加复杂的一门语言。
It also requires a query language to provide constructors that are capable of creating complex nested structures on the fly — a facility that is not needed in a relational language.
这也需要一种查询语言来提供可动态创建复杂嵌套结构的构造函数，而该工具在关系语言中是不需要的。
Before you get started, a few notes: First, to follow along with this article, you should have a basic knowledge of relational databases, JDBC, and Structured Query Language (SQL).
开始之前，有几点注意事项：第一，要读懂本文，您应当掌握关系型数据库、JDBC和结构化查询语言(SQL)的基础知识。
It allowed you to understand the main concepts of the RDL language, even if a UML to Relational mapping is not entirely specified at this point.
它使你能够理解RDL语言的主要概念，即使此刻一个UML到关联的映射还未完全说明。
Since XML data can be very different from relational data, we need a dedicated language to handle XML data efficiently.
由于XML数据可能与关系型数据有很大的差异，因此我们需要一种专门的语言来高效处理XML数据。
These standards were simpler and because they were based upon a query language (MDX), were more like the APIs that developers were used to for talking to relational databases (ODBC, JDBC).
这些标准更加简单，而且由于基于查询语言MDX，它们更像开发人员用来和关系型数据库交互的API（ODBC、JDBC）。
The relational data model and use of the SQL language allows for enterprise level performance and scalability.
关系数据库模型和SQL语言的使用必须考虑到企业级性能和可伸缩性。
Among the many query languages, Structured query language (SQL) is a language designed and optimized for querying certain kinds of relational databases.
在众多查询语言之中，结构化查询语言(SQL)是一种针对查询特定类型的关系库而设计和优化的语言。
This query would be much more difficult to represent in a relational query language.
而在关系查询语言中，该查询表示起来将会困难得多。
It provides a rich environment with forms and reports language for easy development of relational database applications.
它提供一个功能丰富的环境，包括表单和报告语言，可以轻松地开发关系数据库应用程序。
It USES annotations in XML schema as the mapping language to map information in an XML document to relational tables.
它使用XML模式中的注释作为映射语言，将XML文档中的信息映射为关系表。
It USES annotations in XML Schema as the mapping language to map information in an XML document to relational tables.
它在XML模式中使用注释作为映射语言把XML文档中的信息映射为关系表。
As the name implies, it USES annotations in the XML schema as the mapping language to map information in an XML document to relational tables.
顾名思义，这个特性在XML模式中使用注释作为映射语言，将XML文档中的信息映射到关系表。
This flexibility is reflected in the language support, which allows you to access relational data, XML data, or both at the same time. You can query your XML in any of the following four ways.
这样的灵活性表现在语言支持中，使您可访问关系型数据、XML数据，或者同时访问这两种数据。
Just like SQL is a query language designed for the relational data model, XQuery is a language designed specifically to query XML data.
正如SQL是为关系型数据模型设计的查询语言一样，XQuery是专为查询XML数据设计的语言。
Structured Query language (SQL) : a standardized language used to define objects and manipulate data in a relational database.
结构化查询语言(Structured Query Language,SQL)：一种标准化语言，用于在关系数据库中定义对象及操纵数据。
Work with a relational database: Structured Query language.
处理关系数据库：结构化查询语言。
When relational databases were first developed, this was the case; but, fortunately, a number of vendors agreed to develop a standard language for accessing and manipulating relational databases.
当关系数据库刚开发出来的时候，情况就是这样。但是，幸运的是，许多开发商同意开发一个标准的语言，用来访问和操纵数据库。
Most important, many problems are much easier to solve with a native XML database and XQuery than with a relational database and Structured Query Language (SQL).
最重要的是，和关系数据库以及结构化查询语言(SQL)相比，使用原生xml数据库和XQuery将更容易解决众多问题。
As databases behind Web applications are typically relational databases, these CRUD operations are done using the well-known language, SQL.
由于Web应用程序的后台数据库通常都是关系数据库，因此这些CRUD操作都是使用众所周知的SQL语言执行的。
The Hibernate Query Language (HQL), designed as a minimal object-oriented extension to SQL, is an elegant bridge between the object and relational worlds.
Hibernate查询语言（HQL）被设计成SQL 的一个微型面向对象扩展，它是对象和关系世界之间的桥梁。
For all of these reasons, relational databases offer what we might call a noticeable impedance mismatch when we try to use them to persist objects in a dynamic language like Python.
由于所有这些原因，在尝试使用关系数据库来持久化诸如python等动态语言中的对象时，关系数据库导致了显著的不匹配。
Relational databases use Structured Query Language (SQL) to pull information from multiple tables and columns, but key-value stores are limited to operations on the key column.
关系数据库使用结构化查询语言(Structured Query Language,SQL)以便从多个表和列中提取信息，但是键值存储仅限于对键列的操作。
By using of middleware, TSQL2 language and Object-Relational database, we develop a spatiotemporal middleware.
采用对象关系数据库、中间件技术、TSQL2语言设计了时空处理中间件。
The other one is linguistic studies, which ranges from the language features, the relational management to the interactive processes and generic analysis of meetings.
另一种研究则是语言学研究，关注的是会议的语言特点，关系管理，会议互动和类型分析等。
Structured query language. A standard language for querying and modifying relational databases.
结构化查询语言。一种用于查询和修改关系数据库的标准语言。
Traditional relational database query language SQL is designed for relational tables, and not suitable for XML or GML semistructured data;
传统的关系数据库查询语言SQL是针对平面的二维关系数据而设计的，并不适合XML/GML半结构化数据的查询；
Traditional relational database query language SQL is designed for relational tables, and not suitable for XML or GML semistructured data;
传统的关系数据库查询语言SQL是针对平面的二维关系数据而设计的，并不适合XML/GML半结构化数据的查询；
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