![]() I thought I had tested that one using CONVERT and that it errored, but I tried again and it worked. Was talking about the number of digits that would be lost when trying to determine if a long string could be checked for "IsAllDigits". absolutely agreed but wasn't talking about the loss in "value" of the number. However you are right! It does depend! If this loss constitutes my interest in £ - I would probably die from heart-attack □ I wouldn't call 1.32% a such "big loss" :hehe: You can convert it to float (with lose of some precision -)) That would be very good to study, as well. There will also be a popup when you search for "LIKE" in Books Online with the title "Pattern Matching in Search Conditions". I also recommend that you lookup "LIKE" in Books Online (the "help" system that comes with SQL Server). The following article will help with that. RegEx functions (free in SQL# (SQLsharp))īased on the word "ISNUMERIC" and the description above, I believe you're looking for an "IsAllDigits" solution.String_IsNumeric function (free in SQL# (SQLsharp)).If you are running SQL Server 2012 (or newer at some point) use the new TRY_PARSE() function.This will find rows that are NOT all digits, but won't catch NULL or empty, which may or may not be acceptable so you might need additional WHERE clauses. ![]() LIKE operator as you have used before: LIKE '%%'.So first you need to be clear on what you will accept as being a number and what is not valid. 23847234872893475983479583749583749573945739 is all digits, is a valid number, but is NOT convertible to any SQL Server number types as it is larger than 38 digits.12 345 678,9 is NOT all digits, is NOT convertible, but is still a valid number in some locales (such as fr-FR).12.345.678,9 is NOT all digits, is NOT convertible, but is still a valid number in some locales.123.45E+03 is NOT all digits, but is still a valid number, and convertible to FLOAT / REAL.12,345 is NOT all digits, but is still a valid number, and convertible to MONEY.12345.00 is NOT all digits, but is still a valid number, and convertible to DECIMAL / FLOAT / REAL.12345 is all digits, a valid number, and convertible to most SQL Server number types.is convertible to one of the available number datatypes in SQL Server.is a valid number anywhere in the world.First things first: please define "numeric" and what you are REALLY checking for. here's an example of another version I've seen: NOT LIKE '%%' I've used LIKE '%%'? successfully, but even after reading around in several places I still don't understand how it works. □įrom time to time I need to check if a column is completely numeric (or usually, check for the row contain something other than numeric). Conceptually it is pretty much the same thing. True it is not technically a regular expression but.a regular expression checks patterns in strings. There are add-ins to SQL (e.g., via CLR or the SQL Sharp library) that would allow validation by RegEx. The RegEx for this case would be something like: specifies the overall length of the allowable characters. I believe BOL always refers to it as a pattern ( ). And I don't think they refer to it as that. Technically I'd say it is Microsoft SQL's (somewhat limited) proxy for a Regular Expression. All it does is checks if the the string has any number in it (0,1,2,3,4,5,6,7,8,9). I've seen some use a ^ in the statement before). Would someone mind giving me a blow by blow explanation of what each "thing" is doing here? (And if the statement needs to be improved please do so. And I don't want to use anything I can't support. From time to time I need to check if a column is completely numeric (or usually, check for the row contain something other than numeric).
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