3 papers
cs.DB2026
ResQ: Realistic Performance-Aware Query Generation
Zhengle Wang, Yanfei Zhang, Chunwei Liu
Database research and development rely heavily on realistic user workloads for benchmarking, instance optimization, migration testing, and database tuning. However, acquiring real-…
cs.DB2026
Can LLMs Clean Up Your Mess? A Survey of Application-Ready Data Preparation with LLMs
Wei Zhou, Jun Zhou, Haoyu Wang +16
Data preparation aims to denoise raw datasets, uncover cross-dataset relationships, and extract valuable insights from them, which is essential for a wide range of data-centric app…
cs.DB2024
Data Formats in Analytical DBMSs: Performance Trade-offs and Future Directions
Chunwei Liu, Anna Pavlenko, Matteo Interlandi +1
This paper evaluates the suitability of Apache Arrow, Parquet, and ORC as formats for subsumption in an analytical DBMS. We systematically identify and explore the high-level featu…