[rules-users] Re: Independent rule evaluations

Dr. Gernot Starke <gs <at> gernotstarke.de> writes: I basically need to find perfect matches between two different sets of objects. If perfect matches are not found, I then create bulks of objects that are then used in combination with the individual ones to find bulk matches. If no matches are found I need then to categorize the breaks (around 10 different categorizations) and report them. The matching criteria between two object is specific enough to be fast. Once I get into break, which basically is removing some criteria components, the possible combinations increase exponentially. Bulking just compounds the problem by adding more matchable/breakable facts into memory. My bulking logic (I didnt have collect when I started with 3.0) starts a bulk looking for two diff objects with the same bulkling criteria (this is my first potential cross product since drools would produce C!/N!(C-N)! combinations). Then once the bulk for a given criteria is create I have a second rule that expands or contracts the bulks as new facts are asserted causing many different side effects. What I am basically seeing is that asserting a fact that would for instance be a perfect match, causes many of the bulking and breaking rule activations to be created and then cancelled. Considering that I am talking about tens or hundreds of thousands of facts I thought that if I could stage the activation creations I would increase processing speed. With 15K objects on each side I have been seeing something like 1 assertion per second. I am aware that this could be cross product somewhere but I have already revised the rules many many times so now I am looking for other alternatives. I am now trying to understand looking I basically need to find perfect matches between two different sets of objects. If perfect matches are not found, I then create bulks of objects that are then used in combination with the individual one to find bulk matches. If no matches are found I need then to categorize the breaks (around 10 different categorizations) and report them.