Kepler: Robust Learning for Parametric Query Optimization

Kepler: Robust Learning for Parametric Query Optimization

Most existing parametric query optimization (PQO) techniques rely on traditional query optimizer cost models, which are often inaccurate and result in suboptimal query performance. We propose Kepler, an end-to-end learning-based approach to PQO that demonstrates significant speedups in query latency...

Full description

Bibliographic Details
Main Authors: Doshi, Lyric, Zhuang, Vincent, Jain, Gaurav, Marcus, Ryan C, Huang, Haoyu, Alt?nb?ken, Deniz, Brevdo, Eugene, Fraser, Campbell
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:English
Published: ACM 2023
Online Access:https://hdl.handle.net/1721.1/150848

Internet

https://hdl.handle.net/1721.1/150848

Similar Items