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31 maj 2023 · If you need all words to be present, use this: SELECT * FROM mytable WHERE column1 LIKE '%word1%' AND column1 LIKE '%word2%' AND column1 LIKE '%word3%'. If you want something faster, you need to look into full text search, and this is very specific for each database type. edited Jan 12, 2013 at 6:27.
2 mar 2017 · Try LIKE construction, e.g. (assuming StudentId is of type Char, VarChar etc.) select * from Students where StudentId like '%' || TEXT || '%' -- <- TEXT - text to contain. edited Aug 10, 2020 at 14:14. answered Jun 26, 2013 at 14:04.
28 maj 2024 · In this article, we explored different options for executing IF-THEN logic in a SQL SELECT statement. These options include using CASE , IIF() , and CHOOSE() . Furthermore, if we want a query that’s used in almost every dialect, we must choose the CASE statement.
12 maj 2024 · In this tutorial, we explored different options to filter rows that contain specific words or phrases. Combined with wildcards, the LIKE operator offers a powerful and flexible approach to pattern matching and is available in all SQL implementations. Pattern-matching operators available in each database enable advanced search operations.
30 paź 2023 · The SQL IF statement in SELECT queries is utilized to introduce conditional logic, allowing for more dynamic and flexible data retrieval. Essentially, it lets you specify conditions to dictate which data should be fetched or how it should be displayed.
23 sie 2021 · You can match whitespace with the POSIX class "[[:blank:]]" or "[[:space:]]". The difference between these two classes is that the class blank matches only spaces and tabs, while space matches all blank characters, including carriage returns, new lines, form feeds, and vertical tabs. Match Non-Whitespace Characters
24 lip 2019 · If you are using SQL Server 2016 or above and you want to use a string of separated values as input, you can use the table valued function STRING_SPLIT(). This function splits a string into rows based on a specified separator and returns the data in a table. For example:
