In SQL I (sadly) often have to use "LIKE
" conditions due to databases that violate nearly every rule of normalization. I can't change that right now. But that's irrelevant to the question.
Further, I often use conditions like WHERE something in (1,1,2,3,5,8,13,21)
for better readability and flexibility of my SQL statements.
Is there any possible way to combine these two things without writing complicated sub-selects?
I want something as easy as WHERE something LIKE ('bla%', '%foo%', 'batz%')
instead of this:
WHERE something LIKE 'bla%'
OR something LIKE '%foo%'
OR something LIKE 'batz%'
I'm working with SQl Server and Oracle here but I'm interested if this is possible in any RDBMS at all.
This works for comma separated values
Evaluates to:
If you want it to use indexes, you must omit the first
'%'
character.Teradata supports
LIKE ALL/ANY
syntax:No answer like this:
In oracle no problem.
I have a simple solution, that works in postgresql at least, using
like any
followed by the list of regex. Here is an example, looking at identifying some antibiotics in a list:If you are using MySQL the closest you can get is full-text search:
Full-Text Search, MySQL Documentation
For Sql Server you can resort to Dynamic SQL.
Most of the time in such situations you have the parameter of IN clause based on some data from database.
The example below is a little "forced", but this can match various real cases found in legacy databases.
Suppose you have table Persons where person names are stored in a single field PersonName as FirstName + ' ' + LastName. You need to select all persons from a list of first names, stored in field NameToSelect in table NamesToSelect, plus some additional criteria (like filtered on gender, birth date, etc)
You can do it as follows