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SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...
Ahh, gotcha; the latter example is correct but I can see the confusion. - AquilaFasciata (talk | contribs) 14:28, 18 April 2024 (UTC) It was historically named SEQUEL, but that doesn't mean it is true that it is historically pronounced "sequel." It is very common today, especially in the SQL Server community, to pronounce it "sequel."
This example illustrates one of the arguably less desirable quirks of QUEL, namely that all string comparisons are potentially pattern matches. y.str = "ii*" matches all y.str values starting with ii. In contrast, SQL uses = only for exact matches, while like is used when pattern matching is required.
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.
SEQUEL was designed to manipulate and retrieve data in relational databases. By 1974, Chamberlin and Boyce published “SEQUEL: A Structured English Query Language” which detailed their refinements to SQUARE and introduced us to the data retrieval aspects of SEQUEL. [5] It was one of the first languages to use Edgar F. Codd's relational model.
Broadly, query languages can be classified according to whether they are database query languages or information retrieval query languages. The difference is that a database query language attempts to give factual answers to factual questions, while an information retrieval query language attempts to find documents containing information that is relevant to an area of inquiry.
Pronunciation may even vary within a single speaker's vocabulary, depending on narrow contexts. As an example, the database programming language SQL is usually said as three letters, but in reference to Microsoft's implementation is traditionally pronounced like the word sequel.
In SQL, the data manipulation language comprises the SQL-data change statements, [3] which modify stored data but not the schema or database objects. Manipulation of persistent database objects, e.g., tables or stored procedures, via the SQL schema statements, [3] rather than the data stored within them, is considered to be part of a separate data definition language (DDL).