From: Tom Lane <tgl@sss.pgh.pa.us>
To: Gopal <gopal@getmapping.com>
Cc: pgsql-performance@postgresql.org
Subject: Re: Postgres scalability and performance on windows
Date: Fri, 24 Nov 2006 19:10:05 -0500
Message-ID: <1164.1164413405@sss.pgh.pa.us> (raw)
In-Reply-To: <A5DE6132B8D812419321747E42710E2204C060@EXCHANGE01.gm.local>
References: <A5DE6132B8D812419321747E42710E2204C060@EXCHANGE01.gm.local>
"Gopal" <gopal@getmapping.com> writes:
> Thanks for your suggestions. Here's an output of the explain analyse.
What's the query exactly, and what are the schemas of the tables it
uses (psql \d descriptions would do)?
The actual runtime seems to be almost all spent in the hash aggregation
step:
> -> HashAggregate (cost=58.13..58.16 rows=1 width=117) (actual time=15.572..15.573 rows=2 loops=1)
> -> Hash IN Join (cost=3.34..58.10 rows=7 width=117) (actual time=0.261..0.544 rows=50 loops=1)
15 msec seems like a long time to aggregate only 50 rows, so I'm
wondering what aggregates are being calculated and over what
datatypes...
regards, tom lane
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To: pgsql-performance@postgresql.org
Cc: tgl@sss.pgh.pa.us, gopal@getmapping.com
Subject: Re: Postgres scalability and performance on windows
In-Reply-To: <1164.1164413405@sss.pgh.pa.us>
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