Cost-Based OptimizationDuckDBHybrid Query ProcessingQuery Optimization
Cost-Based Hybrid Query Optimization in MotherDuck
This thesis tackles a core challenge in MotherDuck's hybrid execution model: deciding which parts of a query should run locally vs. in the cloud. The result is a cost-based optimizer that delivers up to 17x speedups on long-running analytical queries.