2 papers
cs.DB2025
Training-Free Query Optimization via LLM-Based Plan Similarity
Nikita Vasilenko, Alexander Demin, Vladimir Boorlakov
Large language model (LLM) embeddings offer a promising new avenue for database query optimization. In this paper, we explore how pre-trained execution plan embeddings can guide SQ…
cs.DB2024
Adaptive Cost Model for Query Optimization
Nikita Vasilenko, Alexander Demin, Denis Ponomaryov
The principal component of conventional database query optimizers is a cost model that is used to estimate expected performance of query plans. The accuracy of the cost model has d…