From: Bricklen Anderson <BAnderson@PresiNET.com>
To: Christopher Kings-Lynne <chriskl@familyhealth.com.au>
Cc: Sam Vilain <sam@vilain.net>
Cc: pgsql-performance@postgresql.org
Subject: Re: Prefetch
Date: Wed, 11 May 2005 07:23:20 -0700
Message-ID: <42821558.1010707@PresiNET.com> (raw)
In-Reply-To: <42818FB1.4060403@familyhealth.com.au>
References: <200505100652.51401.molson@oceanconsulting.com>
<42818B2E.8060403@vilain.net>
<42818FB1.4060403@familyhealth.com.au>
Christopher Kings-Lynne wrote:
>> Another trick you can use with large data sets like this when you want
>> results
>> back in seconds is to have regularly updated tables that aggregate the
>> data
>> along each column normally aggregated against the main data set.
>
>
>> Maybe some bright person will prove me wrong by posting some working
>> information about how to get these apparently absent features working.
>
>
> Most people just use simple triggers to maintain aggregate summary
> tables...
>
> Chris
However, if (insert) triggers prove to be too much of a performance hit, try
cron'd functions that perform the aggregation for you. This system works well
for us, using the pk's (sequence) for start and stop points.
--
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To: pgsql-performance@postgresql.org
Cc: BAnderson@PresiNET.com, chriskl@familyhealth.com.au, sam@vilain.net
Subject: Re: Prefetch
In-Reply-To: <42821558.1010707@PresiNET.com>
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