[rules-users] Scaling to large numbers of rules

[Wolfgang Laun]

If your 200K rules are all of the same few patterns (1, 2 and 3 attribute
equalities)
then expanding this into all combinations may not be the way to go.

Can you provide a little more detail about whether the 1/2/3 attributes are
always from the same fact type, and how many of these 1-2-3-combinations
there are?

Also, combinations of rules and (hash) lookup tables might reduce the
number of rules by several orders of magnitude.

-W


2009/9/3 Adam Sussman <adam.sussman at ticketmaster.com>

>
> I am hoping that I am doing something wrong here and that one of you can
> point me in the right direction.
>
> Can anyone provide some advice on scaling up the number of rules in a
> single KnowledgeBase?  While I have seen all sorts of reports on having
> lots of facts, I have not seen anything about having lots of rules.
>
> I need to get to about 200K rules in a single KnowledgeBase, and also
> to run several of these side by side in the same system.
>
> The problem:
>
> As the number of rules increases, the time to compile and load them
> into memory skyrockets.  Now while I realize that the Rete algorithm
> complexity is about the number of rules, the times I am seeing are
> pretty scary.  Also, at about 30k rules, things just fall apart.
>
> On a 64 bit Linux OS with 2 2.4Ghz processors using a 64bit JVM from
> OpenJDK (1.6.1) with 1 Gig of memory allocated to the JVM, loading
> from .drl files:
>
> 1000 rules:
>     KnowledgeBuilder.add:                   7 seconds
>     KnowledgeBase.addKnowledgePackages:     .8 seconds
>
> 10000 rules:
>     KnowledgeBuilder.add:                   79 seconds
>     KnowledgeBase.addKnowledgePackages:     23 seconds
>
> 15000 rules:
>     KnowledgeBuilder.add:                   138 seconds
>     KnowledgeBase.addKnowledgePackages:      55 seconds
>
> 20000 rules:
>     KnowledgeBuilder.add:                   488 seconds
>     KnowledgeBase.addKnowledgePackages:     100 seconds
>
> 30000 rules:
>     KnowledgeBuilder.add:                   out of memory
>     KnowledgeBase.addKnowledgePackages:     never runs
>
> At this rate, 200k rules will take 13-14 hours to compile
> and 2-3 hours to load into RAM, assuming I can even get
> to that many rules.  This just is not usable.
>
> Time to fire all rules is negligible (fortunately!).
>
> The rules I am testing on are very simple 1-3 variable equality whens
> with a simple System.out.println then clause.
>
> The benchmark code I am running is as follows:
>
>     KnowledgeBase kbase = KnowledgeBaseFactory.newKnowledgeBase();
>     KnowledgeBuilder kbuilder =
> KnowledgeBuilderFactory.newKnowledgeBuilder();
>
>     kbuilder.add( ResourceFactory.newClassPathResource( drlFile,
> RuleRunner.class ), ResourceType.DRL );
>
>     Collection<KnowledgePackage> pkgs = kbuilder.getKnowledgePackages();
>     kbase.addKnowledgePackages( pkgs );
>
>
> Sample rule:
>
>     rule "00000005 - random rule"
>             when
>                 Transaction(someId == 35156 && someOtherId ==
> '79F81FB8134A129F' && someCollection contains 'EC3F2A1DCA88')
>             then
>                 System.out.println("match rule 00000005 - random rule");
>     end
>
> Any help would be appreciated.
>
> Regards,
>
> Adam Sussman
>
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