From: Mark Lewis <mark.lewis@mir3.com>
To: aurora <aurora00@gmail.com>
Cc: pgsql-performance@postgresql.org
Subject: Re: browsing table with 2 million records
Date: Wed, 26 Oct 2005 13:59:44 -0700
Message-ID: <1130360385.1156.12.camel@archimedes> (raw)
In-Reply-To: <cbd177510510261341l4ed7a214lda9d67af12f2ec21@mail.gmail.com>
References: <cbd177510510261341l4ed7a214lda9d67af12f2ec21@mail.gmail.com>
Do you have an index on the date column? Can you post an EXPLAIN
ANALYZE for the slow query?
-- Mark Lewis
On Wed, 2005-10-26 at 13:41 -0700, aurora wrote:
> I am running Postgre 7.4 on FreeBSD. The main table have 2 million
> record (we would like to do at least 10 mil or more). It is mainly a
> FIFO structure with maybe 200,000 new records coming in each day that
> displace the older records.
>
> We have a GUI that let user browser through the record page by page at
> about 25 records a time. (Don't ask me why but we have to have this
> GUI). This translates to something like
>
> select count(*) from table <-- to give feedback about the DB size
> select * from table order by date limit 25 offset 0
>
> Tables seems properly indexed, with vacuum and analyze ran regularly.
> Still this very basic SQLs takes up to a minute run.
>
> I read some recent messages that select count(*) would need a table
> scan for Postgre. That's disappointing. But I can accept an
> approximation if there are some way to do so. But how can I optimize
> select * from table order by date limit x offset y? One minute
> response time is not acceptable.
>
> Any help would be appriciated.
>
> Wy
>
>
Reply instructions:
You may reply publicly to this message via plain-text email
using any one of the following methods:
* Reply to all the recipients using the --to and --cc options:
reply via email
To: pgsql-performance@postgresql.org
Cc: mark.lewis@mir3.com, aurora00@gmail.com
Subject: Re: browsing table with 2 million records
In-Reply-To: <1130360385.1156.12.camel@archimedes>
* Save the following mbox file, import it into your mail client,
and reply-to-all from there: mbox
This inbox is served by DDX for PostgreSQL; see mirroring instructions
for how to clone and mirror all data and code used for this inbox