Tagged with: training data


PROPOSAL

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 that estimates the runtime of a plan. However, to build such a model …
Supervisors: Zoi Kaoudi
Semester: Fall 2024
Tags: machine learning, training data, query optimizer