CATune: Structural Constraint-Aware Bayesian Optimization for DBMS Configuration Tuning
CATune is a system that improves database configuration tuning by explicitly modeling deterministic knob dependencies as structural constraints within Bayesian optimization. It achieves this by first extracting these rules from documentation and then using constraint-aware sampling to ensure every tested configuration is valid. This approach significantly boosts sample efficiency and speeds up the process to find better tuning results.