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DIAMetrics: Benchmarking Query Engines at Scale

Anja Gruenheid, Shaleen Deep, Kruthi Nagaraj, Hiro Naito, Jeffrey F. Naughton, Stratis Viglas
2020 Proceedings of the VLDB Endowment  
The end result is a powerful unified framework that is capable of supporting every aspect of benchmarking production systems and workloads.  ...  This paper introduces DIAMetrics: a novel framework for end-to-end benchmarking and performance monitoring of query engines.  ...  place on a particular database engine.  ... 
dblp:journals/pvldb/GruenheidDNNNV20 fatcat:bzbege45fbebhoaspy6kdunuc4

Journey of Migrating Millions of Queries on The Cloud [article]

Taro L. Saito, Naoki Takezoe, Yukihiro Okada, Takako Shimamoto, Dongmin Yu, Suprith Chandrashekharachar, Kai Sasaki, Shohei Okumiya, Yan Wang, Takashi Kurihara, Ryu Kobayashi, Keisuke Suzuki (+2 others)
2022 pre-print
To ensure the quality of the query engines, we utilize our query logs to build customer-specific benchmarks and replay these queries with real customer data in a secure pre-production environment.  ...  Treasure Data is processing millions of distributed SQL queries every day on the cloud.  ...  Maintaining A Data Platform on the Cloud.  ... 
doi:10.1145/3531348.3532177 arXiv:2205.08664v1 fatcat:4d4zvyd6izhtpnft2hcakooxoy