Regular expression in SQL select/update statement

Trying to write like regular expression in SQL select/update staements to get the values that look like any of these [“H6P.5“,“Z3C.10“,“D1V.1222“] where
1.       the first character is an upper or lower case letter
2.       followed by anything in between then a period
3.       followed by matching the any set of repeating numbers, i.e. 12+ matches 122, 1222, and so on.

I tried this
select * from table1 WHERE ID LIKE  '[A-Za-z]%.[0-9]%', but it also gets the values like H6P.5H, D1V.1JJ

I also tried this LIKE '[A-Za-z]%.[0-9]#', '[A-Za-z]%.[0-9]+', '[A-Za-z]%.[0-9]@', '[A-Za-z]%.[0-9]*' but won't get any values.

Please suggest.
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Gerwin Jansen, EE MVETopic Advisor Commented:
Hi, I think you should escape the dot as you mean it literal, so \. instead of . in your pattern. Can you try that?
Terry WoodsIT GuruCommented:
The LIKE operator doesn't accept a regex pattern, so you can't use * to look for a repeat of the previous character. Details of what you can do with it are here:

The . character has no special meaning, so doesn't need escaping. LIKE doesn't allow for any way of matching an unknown number of digits.
käµfm³d 👽Commented:
The only way to use regex in SQL Server is to enable CLR integration. Your DBAs may not like that idea, though.
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Anthony PerkinsCommented:
This would do it, just don't expect stellar performance:
PARSENAME(ID , 2) LIKE '[a-z]%' AND PARSENAME(ID , 1) NOT LIKE  '[^0-9]'

For full Regex expressions use some CLR function.
Anthony PerkinsCommented:
Actually that is not correct either.
Anthony PerkinsCommented:
This seems right:
PARSENAME(ID , 2) LIKE '[a-z]%' AND PARSENAME(ID , 1) NOT LIKE  '%[^0-9]%'

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SQLUser212Author Commented:
Thanks! This works for me to check Alphabets after period (.), but i also need to check the 3rd test case for matching the any set of repeating numbers, i.e. 12+ matches 122, 1222, and so on.

Please suggest.
Anthony PerkinsCommented:
but i also need to check the 3rd test case for matching the any set of repeating numbers
For that you will need true RegEx and if you need this with T-SQL than you will have to use CLR for that.  If you search for this on Google you will find hundreds of examples.  The following is a good article on the subject:
CLR Assembly RegEx Functions for SQL Server by Example
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