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A common table expression, or CTE, (in SQL) is a temporary named result set, derived from a simple query and defined within the execution scope of a SELECT, INSERT, UPDATE, or DELETE statement. CTEs can be thought of as alternatives to derived tables ( subquery ), views , and inline user-defined functions.
In a SQL database query, a correlated subquery (also known as a synchronized subquery) is a subquery (a query nested inside another query) that uses values from the outer query. This can have major impact on performance because the correlated subquery might get recomputed every time for each row of the outer query is processed.
SQL includes operators and functions for calculating values on stored values. SQL allows the use of expressions in the select list to project data, as in the following example, which returns a list of books that cost more than 100.00 with an additional sales_tax column containing a sales tax figure calculated at 6% of the price.
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Doctrine 1.x follows the active record pattern for working with data, where a class corresponds with a database table. For instance, if a programmer wanted to create a new "User" object in a database, they would no longer need to write SQL queries, but instead could use the following PHP code:
Ada, C, C++, Fortran, JavaScript, PHP, Python, Ruby Any 2008/03/21 3.5.4 BSD Visual Expert: Novalys Text, Binary C#, PL/SQL, Transact-SQL, PowerBuilder Windows only 1995 2017 Proprietary VSdocman: Helixoft Text VB, VBScript, C# Windows only 2003 Oct 2 9.0 Proprietary YARD: Loren Segal Text Ruby Any 2007/02/24 0.7.3 MIT Name Creator Input format
Data query language (DQL) is part of the base grouping of SQL sub-languages. These sub-languages are mainly categorized into four categories: a data query language (DQL), a data definition language (DDL), a data control language (DCL), and a data manipulation language (DML).
Example of QBE query with joins, designed in Borland's Paradox database. Query by Example (QBE) is a database query language for relational databases.It was devised by Moshé M. Zloof at IBM Research during the mid-1970s, in parallel to the development of SQL. [1]