2 papers
cs.DB2026
SynQL: A Controllable and Scalable Rule-Based Framework for SQL Workload Synthesis for Performance Benchmarking
Kahan Mehta, Amit Mankodi
Database research and the development of learned query optimisers rely heavily on realistic SQL workloads. Acquiring real-world queries is increasingly difficult, however, due to s…
cs.DB2025
Redefining Cost Estimation in Database Systems: The Role of Execution Plan Features and Machine Learning
Utsav Pathak, Amit Mankodi
Accurate query runtime prediction is a critical component of effective query optimization in modern database systems. Traditional cost models, such as those used in PostgreSQL, rel…