Traditional cost-based query optimizers are highly effective for many database workloads, especially for short and moderately complex queries. However, for queries involving many joins and large search spaces, optimization can become expensive and inaccurate. Recent learning-based query optimizers have shown promising results for complex queries, but they may introduce unnecessary overhead for …
Supervisors: Xiao Li, Zoi Kaoudi
Semester: Fall 2026
Tags: query optimization, machine learning, database

Query optimization is crucial for any data management system to achieve good performance. Recent advancements in AI have led academia and industry to investigate learning-based techniques in query optimization. In particular, many works propose replacing the cost model used during plan enumeration with a machine learning model (typically a regression model) that estimates the runtime of a query …
Supervisors: Zoi Kaoudi
Semester: Fall 2025
Tags: machine learning, database, query optimization, ranking