关系代数的派生算子在关系数据库查询语言中得到了广泛应用。
The derived relational algebra operators are widely used in the relational database query languages.
给出了中介关系数据模型，在此基础上构造了两类不同的中介关系数据库查询语言：中介关系演算和中介关系代数。
Based on this model, this paper constructs two different kinds of medium relational database query languages: medium relational calculus and medium relational algebra.
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;
XQuery的表达能力可以与为数据库查询语言定义的“关系完整性”标准相比，虽然还没有为XML数据模型定义这样的正式标准。
The expressive power of XQuery is comparable to the criterion of "relational completeness" defined for database query languages, though no such formal standard has been defined for an XML data model.
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。
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).
“标准查询语言(SQL)”是一种能够确切表达RDBMS数据库中您所感兴趣的数据的极其简洁的方法。
The Standard Query Language (SQL) is a wonderfully compact means of expressing exactly what data interests you within an RDBMS database.
JPQL是一种语法上类似于SQL的完备查询语言，但是它是在实体上，而不是在数据库表上进行操作。
JPQL is a full-featured query language with syntax similar to SQL, but it operates on entities rather than database tables.
我们需要一种方法，用以首先定义用户将要使用的语言，然后用该定义解析相应的条目并且对各种后端数据库制定正确的查询。
We need a means to first define the language that the user will be using and then use that definition to parse the user's entries and formulate the correct query to whatever back-end database we have.
结构化查询语言(SQL)注入是专门针对数据库的攻击。
Structured Query Language (SQL) injections are attacks carried out against databases.
我不需要数据库提供的持久性，但是我确实需要查询语言。
I didn't need the persistence that a database offered, but I did want the query language.
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）。
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).
它允许通过拖放界面进行数据的可视分析，也可以使用熟悉的SQL数据库语言查询数据。
It provides the ability to do visual analysis of the data with a drag-and-drop interface, and it can also use the familiar SQL database language to query data.
可以在标签内将SQL(结构化查询语言)语句传递给数据库。
Inside a tag, you pass SQL (Structured Query Language) statements to your database.
我还使用该库的定制查询语言和HSQLDB数据库演示了一个简单的对象持久性场景，也探讨了该库的一些高级功能。
I've demonstrated a simple object-persistence scenario using the library's custom query language and the HSQLDB database and also discussed some of the library's advanced features.
本文假设您没有数据库知识或结构化查询语言(Structured Query Language,SQL)编程经验。
It assumes no prior database knowledge or programming experience in the Structured Query Language (SQL).
当然，您需要数据设计和架构、数据库管理、结构化查询语言(Structured Query Language,SQL)、脚本、数据存储库映射和业务领域知识等基本IT技能。
Of course you need the basic it skills of data design and architecture, database administration, Structured Query Language (SQL) scripting, data repository mapping, and business domain knowledge.
处理关系数据库：结构化查询语言。
也许是该从多个小型数据库转向可靠的结构化查询语言(Structured Query Language,SQL)环境的时候了。
Perhaps it's time to move from several small databases to a robust Structured Query Language (SQL) environment.
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。
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.
大多数方法都采用一些专用查询语言的形式把html页面的各个部分映射成代码，而这些代码将Web页面上的信息填入到数据库中。
Most take the form of some proprietary query language that maps sections of an HTML page into code that populates a database with information from the Web page.
作为一个说明性的和典型的示例，让我们配置、构建并安装SQLite——一个实现结构化查询语言(Structured Query Language,SQL)数据库引擎的小型的库。
As an illustrative and representative example, let's configure, build, and install sqlite-a small library that implements a Structured Query Language (SQL) database engine.
数据库领域已经引入了一种称为XQuery的新语言，可以用它查询XML文档。
A new language called XQuery, which can be used to query XML documents, has been introduced to the database world.
NoSQL的数据库没有像SQL提供一个高层次的声明性查询语言。
NoSQL databases do not provide a high-level declarative query language like SQL to avoid overtime in processing.
在某些情况下，在原生XML数据库系统中使用XQuery（一种用于查询 XML数据集合的函数型语言）可能非常有用。
Using XQuery (a functional language designed to query collections of XML data) with native XML database systems can be extremely useful in some situations.
SQL结构化查询语言基础上建立的数据库系统使得用户能够对数据库进行简单的操作和管理。通过数据库技术可以让用户更好地对企业进行管理。
The database system based on the standard query language — SQL, makes user can easily manage and operate on the database.Users can manage the corporation better because of the database technology.
第三种方法是创建能够用来查询数据库对象模型的查询语言。
The third option is to create a query language that can then be used to query the database's object model.
sparql端点通过查询提供了对数据库的访问，而这些查询使用的是W3C标准的SPARQL查询语言。
SPARQL endpoints provide access to databases through queries that use the W3C standard SPARQL query language.
关系数据库的核心是以记录表示数据，记录存放在数据库表，数据库使用查询语言(SQL)对数据进行搜索与查询，同时，数据库对各个数据表进行关联。
The database offers a way to search the records using a query language, nowadays SQL. The database offers a way to correlate information from multiple tables.
关系数据库的核心是以记录表示数据，记录存放在数据库表，数据库使用查询语言(SQL)对数据进行搜索与查询，同时，数据库对各个数据表进行关联。
The database offers a way to search the records using a query language, nowadays SQL. The database offers a way to correlate information from multiple tables.
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