Chris,
Some of what your saying would lead me to look at the wait_io in a the sar
output. You may want to talk with your SA as it sounds like you maybe IO bound.
That being the case it does not matter how much temp space you have, your just
sitting around waiting on the drive(s).
Kirti's suggestion maybe of more help, unless your short on memory. One
item to stay away from at all costs is having stuff in memory paged out to disk.
That is a REAL performance problem.
Dick Goulet
____________________Reply Separator____________________
Author: CC Harvest <ccharvest_at_yahoo.com>
Date: 4/12/2001 8:23 AM
Thanks Dick and Lisa for answering my question. I
think I am going to either let the file auto-extend,
or will try a smaller file as a start. I found my temp
tablespace is too small(1GB) because it seems like
takes forever to rebuild an index with nologging. I
have 11 indexes on this tables, and it took me tons
hours to do the index rebuilding. My application is
a mixed system with 10% batch processing, and 90%
OLAP.
But we need the 10% batch processing part should be
really fast.
Thanks,
Chris
- dgoulet_at_vicr.com wrote:
> Chris,
>
> First let me say that I have a TON of respect
> for Mike and count him as a
> friend. That said, I also take exception to many of
> his pronouncements from a
> practical, not theoretical, point of view. Given
> infinite resources, like disk
> space and memory and CPU, he does have it absolutely
> right. But in the real
> world there is infinite nothing.
>
> The first item on my list here it to look at
> what temp space is used for.
> It's mainly used for sorting, grouping, and distinct
> operations. These are the
> normal things that involve temp segments, and in a
> day to day operation that
> will consume an amount of space. The other item
> their used for is index
> building, which is not a normal day to day
> operation. Therefore the need for an
> extremely large temp tablespace is a sporadic and
> plan able event. Second,
> comes the question of the purpose of the database.
> If your building an OLTP
> system then temp usage is going to be even less
> since the majority of actions
> will affect few rows at one time. If it's a data
> warehouse on the other hand
> then data mining operations tend to make extreme use
> of temp for group and sort
> operations, but even so the amount of data being
> processed will not hit the
> extremes and when it does it's most likely bogus in
> the first place. My
> favorite in this vein is our CIO who let loose a
> Cartesian product query just
> because he forgot to join the fact table to the
> other tables. In this case the
> lack of temp space brought the query to a halt
> quickly and mercifully.
>
> OK, so where should you go? Well, I'll get into
> our DB's which range from
> our 150GB data warehouse to our 200GB operational
> data store. The former has
> 1GB of temp storage for normal operations. The
> latter gets along very well on
> 400MB of temp space. Both have a 14GB disk area
> that they share as required for
> those monster index rebuilds.
>
> Where you go from here is a lot of personal
> decision. I recommend starting
> small & working your way up as necessary. The
> easiest way to do that is to
> enable auto-extend.
>
> Dick Goulet
>
> ____________________Reply
> Separator____________________
> Author: CC Harvest <ccharvest_at_yahoo.com>
> Date: 4/12/2001 12:05 AM
>
> What's your experience about the temporary table
> design? I read Michael Ault's Orcale8 Administartion
> and Management , it says "For Cost-based
> optimization,
> it should be 4 times of the largest table". I have a
> table of 60 Million records, and it costs 16GB,
> should
> I have a 64GB temp tablespace(I don't think so,
> though
> it's a 100GB database, and I have a 300GB of
> diskspace).
>
> Thanks for your advice.
>
> Chris
>
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Received on Thu Apr 12 2001 - 11:42:02 CDT
