Importance

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Abstract

A method of optimizing a rules engine rule set is disclosed. The method provides for identifying groups of rule conditions within a rule table that are repetitive; determining a hash function that will effectively summarize in a condensed form the set of criteria, operations and values that distinguish the group for each respective group of the identified groups; calculating hash values per the hash functions for each row of the rule table; storing the derived hash functions, the calculated hash values, and the original rule in memory when loading; and then at run time when the rule engine is invoked: calculating the hash values using the respective hash functions associated with the rule table using the attributes provided at invocation; and skipping all rows whose hash values are different from the calculated invocation hash values. The method of optimizing rule entities is particularly useful for overcoming the longer calculation times associated with un-optimized rule tables known in the art.

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First Claim