From: | Rosser Schwarz <rosser(dot)schwarz(at)gmail(dot)com> |
---|---|
To: | Derek Buttineau|Compu-SOLVE <derek(at)csolve(dot)net> |
Cc: | pgsql-sql(at)postgresql(dot)org, pgsql-performance(at)postgresql(dot)org |
Subject: | Re: [SQL] ORDER BY Optimization |
Date: | 2005-05-06 20:35:30 |
Message-ID: | 37d451f7050506133534923deb@mail.gmail.com |
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Lists: | pgsql-performance pgsql-sql |
while you weren't looking, Derek Buttineau|Compu-SOLVE wrote:
> I'm hoping this is the right place to send this.
The PostgreSQL Performance list, pgsql-performance(at)postgresql(dot)org
would be more appropriate. I'm copying my followup there, as well.
As for your query, almost all the time is actually spent in the
nestloop, not the sort. Compare:
> -> Sort (cost=31402.85..31405.06 rows=886 width=306) (actual
> time=87454.187..87454.240 rows=10 loops=1)
vs.
> -> Nested Loop (cost=0.00..31359.47 rows=886 width=306)
> (actual time=4.740..86430.468 rows=26308 loops=1)
That's 50-ish ms versus 80-odd seconds.
It seems to me a merge join might be more appropriate here than a
nestloop. What's your work_mem set at? Off-the-cuff numbers show the
dataset weighing in the sub-ten mbyte range.
Provided it's not already at least that big, and you don't want to up
it permanently, try saying:
SET work_mem = 10240; -- 10 mbytes
immediately before running this query (uncached, of course) and see
what happens.
Also, your row-count estimates look pretty off-base. When were these
tables last VACUUMed or ANALYZEd?
/rls
--
:wq
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