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Quick PostgreSQL optimization story
case insensitive string, regular expressions, ilike, like, sql code, postgresql, optimization
11th of March 2006
There are several ways to do case insensitive string matching in SQL. Here are two ways that I've tried and analyzed on a table that doesn't have any indices.
Option 1:
LOWER(u.first_name) = LOWER('Lazy') OR
LOWER(u.last_name) = LOWER('Lazy') OR
LOWER(u.first_name || u.last_name) = LOWER('Lazy')
)
Option 2:
u.first_name ILIKE 'Lazy' OR
u.last_name ILIKE 'Lazy' OR
u.first_name || u.last_name ILIKE 'Lazy'
)
A potentially third option is to make sure that the parameters sent to the SQL code is cooked, in this case we make the parameter into lower case before sent to the SQL code
Option 1b:
LOWER(u.first_name) = 'lazy' OR
LOWER(u.last_name) = 'lazy' OR
LOWER(u.first_name || u.last_name) = 'lazy'
)
Which one do you think is fastest?
The results are:
Option 1b: 2.0ms - 2.1ms (average 2.05ms)
Option 2: 1.7ms - 2.0ms (average 1.85ms)
Conclusion: the ILIKE operator method is the fastest. Not only is it faster, it also supports regular expressions.
I've always thought that the LIKE and ILIKE were sinfully slow (yet useful when time isn't an issue). I should perhaps redo these tests with an index on the first_name and last_name columns.
Try
CREATE INDEX u_first_name_index ON u (lower(first_name));
or a variation thereof.
(Ah, I just noticed you wrote "without any indices". You probably already know this, then. I'll post it anyway - for the search engines.)
You could also use a shadow column maintained by a trigger, but that's an evil solution, only to be used in almost never-met circumstances.