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Boolean Expression Simplification for Query Optimization

Boolean Expression Simplification for Query Optimization

1
posts
2025

Introduced a Boolean expression simplification engine to improve MongoDB query performance. This engine leverages a modified Quine–McCluskey algorithm and Petrick's method, operating on an efficient bitset representation of Boolean expressions. The simplification process reduces computational overhead and enables the query optimizer to generate more efficient execution plans, leading to significant throughput improvements and reduced execution times for complex queries. The implementation also accounts for MongoDB's specific logical semantics, including negation handling with missing values and array values.

2025

Improving MongoDB Queries by Simplifying Boolean Expressions

1/30/2025

This post details the technical implementation of a Boolean expression simplification engine for MongoDB queries. It describes the adaptation of the Quine–McCluskey algorithm and Petrick's method, the use of bitset representations for efficiency, and the challenges and solutions encountered in handling MongoDB's unique logical operators and negation semantics. The post also provides examples of performance improvements achieved through this simplification.