Benchmarking tests showed that running 10,000 rules consumes 382mb.

Are you talking about the memory footprint of your KnowledgeBase when you load it or is after the insertion of facts / execution of rules?

Do you have any more detailed profiling information to share with us? We might be able to help with some experimental features if you provide more details.

 

On Tue, Apr 26, 2011 at 6:16 PM, Leonardo Gomes <leonardo.f.gomes@gmail.com> wrote:

Your eval, you could probably replace by something like this:


rule "status-Fixed-Open"

               when

                             event : FieldChangedEvent(fieldName == "status", oldValue == "Fixed");

                             entity : Entity(entityType == "mock-entity",  field == "status", value == "Open");

               then                         

                  do Something…

end





2011/4/26 Shebs, Liron <liron.shebs@hp.com>

Hello All,

 

I’m working at HP Software R&D and we are considering using drools in our product.

Benchmarking tests showed that running 10,000 rules consumes 382mb.

This is too high for our system requirements, and we would like to know how we can improve it.

Technical details:

-      Drools version: 5.1 with default configuration.

-      All rules look like this:

 

rule "status-Fixed-Open"

               when

                             event : FieldChangedEvent(fieldName == "status", oldValue == "Fixed");

                             entity : Entity(entityType == "mock-entity");

                             eval(((String) entity.getFieldValue("status")).equals("Open"));

               then                         

                  do Something…

end

 

-      Loading code:

 

KnowledgeBuilder knowledgeBuilder = KnowledgeBuilderFactory.newKnowledgeBuilder();

for(all resources)

{

knowledgeBuilder.add(resource, ResourceType.DRL);

}

knowledgeBase = KnowledgeBaseFactory.newKnowledgeBase();

knowledgeBase.addKnowledgePackages(knowledgeBuilder.getKnowledgePackages());

 

Any insights are most appreciated.

 

Thank You,

Liron, HP Software R&D

 

 

 


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