Cherie, 
We used the data volume and performance criterion while deciding to
partition our tables. One of the major tables had grown over 100Mil rows and
had 4 indexes. All tables had 4 digit YEAR field and most queries used YEAR
in them, so it was a no-brainer. A few important queries were modified to
use YEAR to facilitate partition pruning. So, after partitioning all these
tables by YEAR, the performance was much improved. Archival criterion was
also a driver, initially. But after the clients saw the results (good
performance), they had other ideas. Now we are holding on to 12 years of
data instead of 10 years. Looks like we are heading towards 15 years of
historical data. And we have added 2 more indexes to that major table. Data
loads are once a month. 

HTH,

- Kirti  

>>> [EMAIL PROTECTED] 01/18/02 08:20AM >>>

We have a number of partitioned tables in a couple of existing data
warehouses.
We are working on the design for a new warehouse and need to decide
which
tables should be partitioned.

For you folks that have partitioned tables, how do you decide which
tables
to
be partition?   Some tables with very large row counts are obvious
candidates.
If you go off of row counts solely, what is the cut-off point for where
you
should start
partitioning?  Is there a rule-of-thumb?

I'm having difficulty with the not-as-huge, not-as-obvious candidates.

What other criteria do you use besides row-count?   Perhaps archival
requirements?

I guess it would depend on what you are using the partitioning to
achieve.
Partition
exclusion for read performance improvement or for culling off old
data,
etc.

Any shared insights for where to draw the line on partitioning
candidates
would
be greatly appreciated.

Thanks,

Cherie Machler

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