Thanks all who replied. The purpose of this excercise is mainly #1 mentioned in Dennis 
W.'s e-mail. Because of the size of this table, purging has been a challenge and we 
want to keep only 2 years data in the table and periodically drop partitions to save 
space. 

Dennis

-----Original Message-----
Sent: Tuesday, August 12, 2003 4:19 PM
To: Multiple recipients of list ORACLE-L


Dennis
   What are you trying to achieve by partitioning? Generally I've seen two
common goals, 1) break a large table into more manageable pieces, 2)
performance tuning, so a query only has to scan a small partition. Sometimes
the two can be achieved simultaneously, sometimes they are at odds. If you
had a year column, and partitioned on that column, you might have
manageability, but if none of your queries included that column, Oracle
would probably do a full table scan on all partitions (maybe in parallel if
you have the partitions on separate devices). On the other hand, I've
partitioned a table by week, which produces 52 partitions for each year. Not
good for manageability, but it made the queries blazingly fast.

Dennis Williams
DBA, 80%OCP, 100% DBA
Lifetouch, Inc.
[EMAIL PROTECTED] 


-----Original Message-----
Sent: Tuesday, August 12, 2003 11:04 AM
To: Multiple recipients of list ORACLE-L


I have worked with partitioning before but have yet encountered the
following challenge -
The table we are trying to partition is a large table with hundreds of
millions of rows, which is ok. But it does not have a month column, although
it has dates. I would like to partition by month because this table contains
years of data and partitioning by days will result in thousands of
partitions. Of course we can add a month column but I think that will
require extensive downtime which we can't afford and I suspect it will cause
row-chaining as well. So anybody care to share with me any other
options/suggestions?

TIA

Dennis


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