Kirti,
 The article is interesting and raises a lot of doubt and concern.
 Normally a companies database has a lot of queries against it that are
the same and can be optimized at the source. The application is created
and used by the employees with different variables placed in the blanks
on the form. Repetitive look up of information. What is there to learn
about different relationships of data if the applications we run at the
companies provide answers to the same questions all day every day?
If this technology was to be applied to a web site database that has
many varied questions about many subjects, how large would the SGA,PGA,
and other areas of the database have to be to contain the queries that
it would optimize? And at what speed would this optimization occur? As
an example, Let's use the Ford Motor Company web site, of the thousand
of hits it receives how many are requesting similar information about
the same model vehicle, same door panel, same trim design? With all of
the varied information requested from the database it would take nothing
short of "artificial intelligence" to know what you were looking for
before you were looking for it.
The article talked about autonomous databases, Hasn't uncle Larry been
taunting that with 9i?
Just a few thoughts,
Ron
ROR mª¿ªm

>>> [EMAIL PROTECTED] 08/15/02 08:28AM >>>
Interesting article on Query Optimization research.. 
http://www.computerworld.com/databasetopics/data/software/story/0,10801,7316

4,00.html

- Kirti
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