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  1. 31 maj 2023 · The best way is making a full-text index on a column in the table and use contain instead of LIKE. SELECT * FROM MyTable WHERE contains(Column1, N'word1') AND contains(Column1, N'word2') AND contains(Column1, N'word3')

  2. 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.

  3. 26 lut 2016 · 1 ACCEPTED SOLUTION. KHorseman. Community Champion. 02-26-2016 07:32 AM. The easiest way to do this would be to do the column in the query rather than the resulting data model table. Hit the Add Custom Column there and the code would be. if Text.Contains([ColumnName], "A") then "A" else "B" If you want to do it in DAX it's a bit more messy.

  4. 12 maj 2024 · We can use the LIKE operator to perform a wildcard search on the columns: SELECT * FROM Product WHERE description LIKE '%Milk%' OR description LIKE '%Dark%'; The LIKE operator combined with % on both sides of the search terms allows for flexible searching.

  5. 18 lis 2021 · I am trying to make a custom column by using an if() statement to pass an existing column through more than one text.Contains condition, and then return a string. I have tried the below with no luck: if text.Contains([Product], "AB") & text.Contains([Product], "CD") then "EF"

  6. 14 mar 2023 · When you want to check if a cell contains two or more different substrings, the easiest way is to use the COUNTIFS function with wildcards for the logical test. Supposing you want to locate cells in column A that contain both "b" AND "2". To have it done, use "*b*" and "*2*" for COUNTIFS's criteria and A2 for the criteria range:

  7. 12 lut 2024 · Example of SQL SELECT WHERE Field Contains Words. To search for a record that contains a specific word in a specific field, we will use SELECT statement in SQL with WHERE clause to filter the results based on a specific word. Consider a table named products with columns product_id and product_name.

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