结构查询语言也让使用者可以自行定义资料，而且处理这些资料。
SQL also allows users to define data in a database and to manipulate those data.
拥有某种能够自检的查询语言和索引结构将是非常理想的。
It would be nice to have a query language that could introspect and indexing structures.
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).
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.
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.
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.
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。
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.
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.
原生查询为执行复杂查询提供了一种功能强大的方法，而且不需要学习新的查询语言或使用复杂对象结构对谓词建模。
Native queries provide a powerful way to execute complex queries without having to learn a new query language or resort to complicated object structures to model a predicate.
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.
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.
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.
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.
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).
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.
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.
结构化查询语言（Structured Query Language，SQL）注入是否失败？
使用扩展结构化查询语言(ESQL)。
XQuery 1.0规范：了解有关此XML语言的更多信息，该语言灵活使用 XML结构表达跨各种 XML数据源的查询。
XQuery 1.0 specification: Learn more about this XML language that makes intelligent use of XML structure to express queries across various XML data sources.
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.
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).
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.
一个有趣的示例称为Hive，它是一个具有自己特定查询语言(称为HiveQL)的数据仓库基础结构。
One interesting example is called Hive, which is a data warehouse infrastructure with its own query language (called Hive QL).
通过使用代码查询语言（CodeQueryLanguage,CQL，一种能够提供代码结构查询的语言），开发人员能够对他们的代码库提出各种问题
Thanks to a language dedicated to code structure querying (Code Query Language, CQL), developers can ask for any kind of questions about their code bases
分析了数据挖掘原语、查询语言和系统结构。
Analyzing the data mining primitives, query languages, and system architectures.
简单协议和RDF查询语言（Simple Protocol and RDF Query Language，SPARQL —发音为 “sparkle”）是通常用于针对该数据进行查询的语言，因为它在语句构成上匹配 RDF本身的结构。
Simple Protocol and RDF Query Language (SPARQL — pronounced "sparkle") is the language typically used to query against that data, as it syntactically matches the structure of RDF itself.
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).
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