处理关系数据库：结构化查询语言。
使用扩展结构化查询语言(ESQL)。
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.
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.
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。
Structured query language. A standard language for querying and modifying relational databases.
这个语言称作结构化查询语言(或SQL，发音是sea - quill)。
This language is officially called Structured Query language (or SQL, pronounced sea-quill).
SQL(结构化查询语言)是世界上最流行的和标准化的数据库语言。
SQL (structured query language) is the world's most prevailing and standardized database language.
一个例子是结构化查询语言，它是大多数关系数据库查询系统的基干形式。
An example is the language SQL (Structured query language), which forms the backbone of most relational database query system.
结构化查询语言（Structured Query Language，SQL）注入是否失败？
它实现了通过结构化查询语言连接后台数据库来实现用户注册，添加，查找和删除等功能。
It implements these functions, such as registration, addition, search and deletion through operating database by SQL language.
所有的商业关系数据库都建立在标准SQL(结构化查询语言)作为它们支持的包容性语言。
All commercial relational databases use forms of the standard SQL (Structured Query language) as their supported comprehensive language.
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。
Among the many query languages, Structured query language (SQL) is a language designed and optimized for querying certain kinds of relational databases.
对索引的查询将使用标准结构化查询语言（Structured Query Language，SQL）来执行。
The query on the index would have been performed using standard Structured Query Language (SQL).
SQL是英文（StructuredQueryLanguage）的缩写，意思为结构化查询语言。
SQL is in English (Structured Query Language) Which means a structured query language.
用户不需要掌握复杂的结构化查询语言，也无需了解数据模式，只需要输入查询关键词就可以进行数据库的查询。
Users do not have to master the complex query languages; nor do they have to be aware of the database schema. They only need to enter the keywords to perform a database query.
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).
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。
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).
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).
Hive使得Hadoop更加熟悉结构化查询语言(SQL)背景，同时还支持传统的MapReduce基础结构来进行数据处理。
Hive makes Hadoop more familiar to those with a Structured Query Language (SQL) background, but it also supports the traditional MapReduce infrastructure for data processing.
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.
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.
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。
Structured Query language (SQL) : a standardized language used to define objects and manipulate data in a relational database.
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.
在分词技术、索引技术、结构化查询语言技术的基础上，提出了一个基于XML文档数据库的信息检索系统，这一系统模型主要由分词模块、索引模块及查询模块组成。
This paper puts forward an information retrieval system based on XML documents database on the foundation of segmentation technology, index technology and structured query language technology.
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.
大多数开发人员听说过关于反模式的一个很好的例子：结构化查询语言（Structured Query Language，SQL）的错误使用导致Web站点受到 SQL 注入攻击。
Most developers have heard of a good example of an anti-pattern: The improper use of Structured Query Language (SQL) libraries that result in SQL injection attacks on Web sites.
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.
YQL基本上就是一种基于SQL的查询语言，允许以标准的方式从多个服务中查询和检索结构化数据。
YQL is basically a query language based on SQL that lets you query and retrieve structured data from multiple services in a standard way.
上文已经提到过，YQL是一种类似于SQL的语言，可在Web中查询结构化数据。
As the article already mentioned, YQL is a SQL-like language to query structured data in the Web.
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;
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