Well, setting aside the fact that a million rules (just the rules,
with no facts to match) would likely consume a gigabyte of memory or
so -- and the fact that I have no idea what you mean regarding "each
method on an object will have a corrsponding rule:"
As it says in the manual, performance is not a function of the number
of rules, but rather of the characteristics of the rules. Some
performance issues are discussed in manual Chapter 10 and
elsewhere. At one extreme, if every single rule's LHS is identical,
then the performance of a million rules is nearly the same as the
performance of one rule. If on the other extreme there is only one
kind of fact, but each rule has a distinct LHS that cannot be even
partially shared, then the performance of a million rules is 1/1000000
the performance of one rule.
For real systems, there are more than one kind of fact, and many rules
have somewhat similar left-hand-sides, so the reality is somewhere in
between. Performance often scales like the logarithm of the number of
rules if the rules are designed well and attention is paid to
parallelism.
Of course, there is no dependence whatsoever on the number of .clp
files read. You could put each rule in its own file, or all in one
file, and there would be no difference in performance (except for a
difference in startup time due to the overhead of opening a million
files! )
I think Adarsh Jain wrote:
> Hi,
> I would like some useful pointers on how to implement Jess in an env where we
> would a million rules.. meaning each method on an object will have a
> corresponding rule. What kind of performance can be expected wrt
> 1. The number of rules
> 2. The number of .clp files each having simple rules.
> Any help will be appreciated.
>
> Thanks,
> Adarsh
>
>
---------------------------------------------------------
Ernest Friedman-Hill
Distributed Systems Research Phone: (925) 294-2154
Sandia National Labs FAX: (925) 294-2234
Org. 8920, MS 9012 [EMAIL PROTECTED]
PO Box 969 http://herzberg.ca.sandia.gov
Livermore, CA 94550
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