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  1. May 15, 2024 · Learn how to use regular expressions and the REGEXP operator in MySQL to perform powerful and flexible pattern matching operations. See examples of metacharacters, alternation, character classes, and more.

    • 15 min
  2. Dec 9, 2019 · Learn how to use regular expressions (Regex) to search and locate specific sequences of characters in SQL queries. Compare different ways to use Regex comparators: LIKE, SIMILAR TO and POSIX, with examples and cheat sheets.

  3. Jan 19, 2012 · Learn how to use regular expressions (RegEx) in SQL Server with various methods and examples. Compare LIKE operator, CLR procedure, and R services for different scenarios and performance.

  4. The REGEXP operator in SQL is a powerful tool for matching complex string patterns. It is used for extracting information based on specific patterns rather than simple character matches. Example. SELECT * FROM Orders. WHERE item REGEXP 'Mouse|Keyboard'; Here, the SQL command selects orders where the item is either Mouse or Keyboard.

  5. A regular expression is a powerful way of specifying a pattern for a complex search. This section discusses the functions and operators available for regular expression matching and illustrates, with examples, some of the special characters and constructs that can be used for regular expression operations.

  6. Learn how to use regular expressions in Oracle SQL to implement complex pattern-matching logic in the database. See examples of pattern-matching condition and functions, operators, and options.

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  8. It is a powerful tool that gives you a concise and flexible way to identify text strings, such as characters and words, based on patterns. For example, you can use regular expressions to search for emails, IP addresses, phone numbers, social security numbers, or anything with a specific pattern.

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