Optimizing the decision engine

You can optimize the performance of the decision engine by adjusting your rule conditions, and by selecting the most efficient execution mode for your rules.

Using the same definition for several decision engines
To reduce memory consumption, you can create several engines for concurrent use from the same engine definition.
Adjusting conditions
Most of the execution time is taken up by the pattern-matching process. Consequently, the most efficient way of improving performance in rulesets consists in modifying the condition part of rules.
Improving the performance of the RetePlus execution mode
You can improve performance by avoiding certain operations in the RetePlus execution mode.
Improving the performance of the sequential execution mode
To use the sequential algorithm, make sure that your rules are homogeneous and that the rules are not chained. In the sequential algorithm, you can define the number of rules to run per tuple and the order of execution by using control properties.
Improving the performance of the Fastpath execution mode
You improve the performance of the Fastpath execution mode by modifying the condition part of rules.
Stopping a rule task
You can interrupt a rule task when a specific state is reached.

Parent topic: Optimizing execution

Related concepts

Decision engine