3 papers
cs.DB2025
CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation using Joint CDF
Lankadinee Rathuwadu, Guanli Liu, Christopher Leckie +1
Cardinality estimation (CE), the task of predicting the result size of queries is a critical component of query optimization. Accurate estimates are essential for generating effici…
cs.DB2025
Benchmarking RL-Enhanced Spatial Indices Against Traditional, Advanced, and Learned Counterparts
Guanli Liu, Renata Borovica-Gajic, Hai Lan +1
Reinforcement learning has recently been used to enhance index structures, giving rise to reinforcement learning-enhanced spatial indices (RLESIs) that aim to improve query efficie…
cs.DB2025
DriftBench: Defining and Generating Data and Query Workload Drift for Benchmarking
Guanli Liu, Renata Borovica-Gajic
Data and workload drift are key to evaluating database components such as caching, cardinality estimation, indexing, and query optimization. Yet, existing benchmarks are static, of…