From: | Richard Huxton <dev(at)archonet(dot)com> |
---|---|
To: | Gregory Stark <stark(at)enterprisedb(dot)com> |
Cc: | mark(at)mark(dot)mielke(dot)cc, Mark Lewis <mark(dot)lewis(at)mir3(dot)com>, James Mansion <james(at)mansionfamily(dot)plus(dot)com>, Magnus Hagander <magnus(at)hagander(dot)net>, Alexander Staubo <alex(at)purefiction(dot)net>, Andy <frum(at)ar-sd(dot)net>, pgsql-performance(at)postgresql(dot)org |
Subject: | Re: LIKE search and performance |
Date: | 2007-05-25 18:13:14 |
Message-ID: | 4657273A.3080005@archonet.com |
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Lists: | pgsql-performance |
Gregory Stark wrote:
> "Richard Huxton" <dev(at)archonet(dot)com> writes:
>
>> Now you and I can look at a substring and probably make a good guess how common
>> it is (assuming we know the targets are British surnames or Japanese towns). PG
>> needs one number - or rather, it picks one number for each length of
>> search-string (afaik).
>
> I don't think that's true. Postgres calculates the lower and upper bound
> implied by the search pattern and then uses the histogram to estimate how
> selective that range is. It's sometimes surprisingly good but obviously it's
> not perfect.
Sorry - I'm obviously picking my words badly today.
I meant for the "contains" substring match. It gives different (goes
away and checks...yes) predictions based on string length. So it guesses
that LIKE '%aaa%' will match more than LIKE '%aaaa%'. Of course, if we
were matching surnames you and I could say that this is very unlikely,
but without some big statistics table I guess there's not much more PG
can do.
For a trailing wildcard LIKE 'aaa%' it can and does as you say convert
this into something along the lines of (>= 'aaa' AND < 'aab'). Although
IIRC that depends if your locale allows such (not sure, I don't really
use non-C/non-English locales enough).
--
Richard Huxton
Archonet Ltd
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