Message-ID: <50733317.9080408@pinpointresearch.com>
Date: Mon, 08 Oct 2012 13:09:59 -0700
From: Steve Crawford <scrawford@pinpointresearch.com>
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To: Navaneethan R <nava@gridlex.com>
CC: pgsql-performance@postgresql.org
Subject: Re: Scaling 10 million records in PostgreSQL table
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On 10/08/2012 08:26 AM, Navaneethan R wrote:
> Hi all,
>
>        I have 10 million records in my postgres table.I am running the database in amazon ec2 medium instance. I need to access the last week data from the table.
> It takes huge time to process the simple query.So, i throws time out exception error.
>
> query is :
>       select count(*) from dealer_vehicle_details where modified_on between '2012-10-01' and '2012-10-08' and dealer_id=270001;
>
> After a lot of time it responds 1184 as count
>
> what are the ways i have to follow to increase the performance of this query?
>   
> The insertion also going parallel since the daily realtime updation.
>
> what could be the reason exactly for this lacking performace?
>
>
What version of PostgreSQL? You can use "select version();" and note 
that 9.2 has index-only scans which can result in a substantial 
performance boost for queries of this type.

What is the structure of your table? You can use "\d+ 
dealer_vehicle_details" in psql.

Have you tuned PostgreSQL in any way? If so, what?

Cheers,
Steve