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SQL Server: Teradata LIKE_REGEX SQL-2023 ... SEARCH SQL-2023 ... Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; ...
Regular expressions are used in search engines, in search and replace dialogs of word processors and text editors, in text processing utilities such as sed and AWK, and in lexical analysis. Regular expressions are supported in many programming languages. Library implementations are often called an "engine", [4] [5] and many of these are ...
In SQL, wildcard characters can be used in LIKE expressions; the percent sign % matches zero or more characters, and underscore _ a single character. Transact-SQL also supports square brackets ([and ]) to list sets and ranges of characters to match, a leading caret ^ negates the set and matches only a character not within the list.
A regex search scans the text of each page on Wikipedia in real time, character by character, to find pages that match a specific sequence or pattern of characters. Unlike keyword searching, regex searching is by default case-sensitive, does not ignore punctuation, and operates directly on the page source (MediaWiki markup) rather than on the ...
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 ...
regex - Henry Spencer's regular expression libraries ArgList: C BSD RE2: RE2: C++ BSD Go, Google Sheets, Gmail, G Suite Henry Spencer's Advanced Regular Expressions Tcl: C BSD RGX RGX : C++ based component library P6R RXP Titan IC: RTL Proprietary: hardware-accelerated search acceleration using RegEx available for ASIC, FPGA and cloud.
It is a full-text indexing and retrieval database, including time series analysis capabilities [6] [7] and regular expression evaluation and text parsing. [11] It is offered as platform as a service (PaaS) as part of Microsoft Azure platform. The product was announced by Microsoft in 2018.
In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).