From: Tom Lane <tgl@sss.pgh.pa.us>
To: randalls@bioinfo.wsu.edu
Cc: pgsql-performance@postgresql.org
Subject: Re: Performance regarding LIKE searches
Date: Mon, 29 Mar 2010 13:00:03 -0400
Message-ID: <16513.1269882003@sss.pgh.pa.us> (raw)
In-Reply-To: <2071262140.8761269880968618.JavaMail.root@mail>
References: <2071262140.8761269880968618.JavaMail.root@mail>
randalls@bioinfo.wsu.edu writes:
> I can see I am hitting an index using an index that I created using the varchar_pattern_ops setting. This is very fast and performs like I would expect. However, when my application, GBrowse, access the database, I see in my slow query log this:
> 2010-03-29 09:34:38.083 PDT,"gdr_gbrowse_live","gdr_gbrowse_live",11649,"10.0.0.235:59043",4bb0399d.2d81,8,"SELECT",2010-03-28 22:24:45 PDT,4/118607,0,LOG,00000,"duration: 21467.467 ms execute dbdpg_p25965_9: SELECT f.id,f.object,f.typeid,f.seqid,f.start,f.end,f.strand
> FROM feature as f, name as n
> WHERE (n.id=f.id AND lower(n.name) LIKE $1)
> ","parameters: $1 = 'Scaffold:scaffold\_163:1000..1199%'",,,,,,,
> GBrowse is a perl based application. Looking at the duration for this query is around 21 seconds. That is a bit long. Does anyone have any ideas why the query duration is so different?
You're not going to get an index optimization when the LIKE pattern
isn't a constant (and left-anchored, but this is).
It is possible to get the planner to treat a query parameter as a
constant (implying a re-plan on each execution instead of having a
cached plan). I believe what you have to do at the moment is use
unnamed rather than named prepared statements. The practicality of
this would depend a lot on your client-side software stack, which
you didn't mention.
regards, tom lane
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To: pgsql-performance@postgresql.org
Cc: tgl@sss.pgh.pa.us, randalls@bioinfo.wsu.edu
Subject: Re: Performance regarding LIKE searches
In-Reply-To: <16513.1269882003@sss.pgh.pa.us>
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