When should you NOT use a Rules Engine? [closed]

Answer 1

I get very nervous when I see people using very large rule sets (e.g., on the order of thousands of rules in a single rule set). This often happens when the rules engine is a singleton sitting in the center of the enterprise in the hope that keeping rules DRY will make them accessible to many apps that require them. I would defy anyone to tell me that a Rete rules engine with that many rules is well-understood. I'm not aware of any tools that can check to ensure that conflicts don't exist.

I think partitioning rules sets to keep them small is a better option. Aspects can be a way to share a common rule set among many objects.

I prefer a simpler, more data driven approach wherever possible.

Answer 2

I'm a big fan of Business Rules Engines, since it can help you make your life much easier as a programmer. One of the first experiences I've had while working on a Data Warehouse project was to find Stored Procedures containing complicated CASE structures stretching over entire pages. It was a nightmare to debug, since it was very difficult to understand the logic applied in such long CASE structures, and to determine if you have an overlapping between a rule at page 1 of the code and another from page 5. Overall, we had more than 300 such rules embedded in the code.

When we've received a new development requirement, for something called Accounting Destination, which was involving treating more than 3000 rules, i knew something had to change. Back then I've been working on a prototype which later on become the parent of what now is a Custom Business Rule engine, capable of handling all SQL standard operators. Initially we've been using Excel as an authoring tool and , later on, we've created an ASP.net application which will allow the Business Users to define their own business rules, without the need of writing code. Now the system works fine, with very few bugs, and contains over 7000 rules for calculating this Accounting Destination. I don't think such scenario would have been possible by just hard-coding. And the users are pretty happy that they can define their own rules without IT becoming their bottleneck.

Still, there are limits to such approach:

• You need to have capable business users which have an excellent understanding of the company business.
• There is a significant workload on searching the entire system (in our case a Data Warehouse), in order to determine all hard-coded conditions which make sense to translate into rules to be handled by a Business Rule Engine. We've also had to take good care that these initial templates to be fully understandable by Business Users.
• You need to have an application used for rules authoring, in which algorithms for detection of overlapping business rules is implemented. Otherwise you'll end up with a big mess, where no one understands anymore the results they get. When you have a bug in a generic component like a Custom Business Rule Engine, it can be very difficult to debug and involve extensive tests to make sure that things that worked before also work now.

More details on this topic can be found on a post I've written: http://dwhbp.com/post/2011/10/30/Implementing-a-Business-Rule-Engine.aspx

Overall, the biggest advantage of using a Business Rule Engines is that it allows the users to take back control over the Business Rule definitions and authoring, without the need of going to the IT department each time they need to modify something. It also the reduces the workload over IT development teams, which can now focus on building stuff with more added value.

Cheers,

Nicolae

Answer 3

GREAT article on when not to use a rules Engine...(as well as when to use one)....

http://www.jessrules.com/guidelines.shtml

Another option is if you have a linear set of rules that only apply once in any order to get an outcome is to create a groovy interface and have developers write and deploy these new rules. The advantage is that it is wickedly fast because normally you would pass the hibernate session OR jdbc session as well as any parameters so you have access to all your apps data but in an efficient manner. With a fact list, there can be alot of looping/matching that really can slow the system down.....It's another way to avoid a rules engine and be able to be deployed dynamically(yes, our groovy rules were deployed in a database and we had no recursion....it either met the rule or it didn't). It is just another option.....oh and one more benefit is not learning rules syntax for incoming developers. They have to learn some groovy but that is very close to java so the learning curve is much better.

It really depends on your context. Rules engine have their place and the above is just another option if you have rules on a project that you may want to deploy dynamically for very simplified situations that don't require a rules engine.

BASICALLY do NOT use a rules engine if you have a simple ruleset and can have a groovy interface instead.....just as dynamically deployable and new developers joining your team can learn it faster than the drools language.(but that's my opinion)