Hi,
There is no particular pattern but it is generally the update queries of the
form "update tableName set colName='something'" that are taking a lot of
time incase there is a lot of background data. Also, I would not like to
change my application to access data from another schema when required. I
want this to be handled at database level wherein everything in database
itself is organised to make access faster.
Regards,
Vinita Bansal
>From: "Joshua D. Drake" <jd@commandprompt.com>
>To: Richard Huxton <dev@archonet.com>
>CC: vinita bansal <sagivini@hotmail.com>, pgsql-general@postgresql.org
>Subject: Re: [GENERAL] reorder table data
>Date: Tue, 19 Apr 2005 11:25:06 -0700
>
>Richard Huxton wrote:
>>vinita bansal wrote:
>>
>>>Hi,
>>>
>>>I have a 40GB database with a few tables containing approx 10 million
>>>rows. Most of the data in these tables is inactive and there is only a
>>>few rows which get used for our benchmark run each day. We cannot delete
>>>the inactive data since it might be required for a particular run some
>>>day while it is active data that is used mostly.
>>
>>
>>Is there some pattern to which data is being accessed. For example, in an
>>accounts system it might be rows with paid=false.
>
>If the above is the case you could create an expression index specifically
>for your clause.
>
>You could also archive out the old information into another schema and
>access it when required using UNIONS.
>
>Sincerely,
>
>Joshua D. Drake
>Command Prompt, Inc.
>
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