Hi,
I don't want to offense you asking if you run vacuum full regullary. I
suppose that the 10Gb are plain of usefull data, aren't they ?
Luc
----- Original Message -----
From: "Steve" <steve@hotmail.com>
To: <pgsql-admin@postgresql.org>
Sent: Friday, July 23, 2004 8:10 AM
Subject: [ADMIN] please please please PLEASE help!
> Hi,
>
> I've asked this question a couple of times before on this forum but no
> one seems to be nice enough to point me to the right direction or help
> me out with any information, if possible. Please help me out with this
> because this is a very serious issue for me and I need to learn more
> about this. And here it is again:
>
> I've been running postgres on my server for over a year now and the
> tables have become huge. I have 3 tables that have data over 10GB each
> and these tables are read very very frequently. In fact, heavy searches
> on these tables are expected every 2 to 3 minutes. This unfortunately
> gives a very poor response time to the end user and so I'm looking at
> other alternatives now.
>
> Currently, the postgresql installation is on a single disk and so all
> the tables have their data read from a single disk. Searching on
> different tables by multiple users at the same time results in very slow
> searches, as it's mainly dependant on the spindle speed. I recently
> gained access to another server which has 3 SCSI disks. I know there is
> a way to mirror the tables across the three different disks but I'm not
> sure if it's as easy as symlinking the files (WAL files only?) across.
> Can anyone please tell me what to do here and how to harness the power
> of the three SCSI drives that I have. Which files in the data directory
> need to be moved? Is this safe? Can backups etc be easily done? Any
> information will be greatly appreciated. Thank you,
>
>
> Steve
>
>
> ---------------------------(end of broadcast)---------------------------
> TIP 2: you can get off all lists at once with the unregister command
> (send "unregister YourEmailAddressHere" to majordomo@postgresql.org)
>