From: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
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To: | randalls(at)bioinfo(dot)wsu(dot)edu |
Cc: | pgsql-performance(at)postgresql(dot)org |
Subject: | Re: Performance regarding LIKE searches |
Date: | 2010-03-29 17:00:03 |
Message-ID: | 16513.1269882003@sss.pgh.pa.us |
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Lists: | pgsql-performance |
randalls(at)bioinfo(dot)wsu(dot)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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