Technical Perspective DIAMetrics
Benchmarking Query Engines at Scale release_2po7xbkqkbgcnc5jpledjgoqci

by Peter Boncz

Published in SIGMOD record by Association for Computing Machinery (ACM).

2021   Volume 50, p23-23

Abstract

Benchmarking database systems has a long and successful history in making industrial database systems comparable, and is also a cornerstone of quantifiable experimental data systems research. Creating good benchmarks has been described as something of an art [3]. One can inspire dataset and workload design from"representative" use cases queries, typically informed by domain experts; but also exploit technical insights from database architects in what features, operations, and data distributions should come together in order to invoke a particularly challenging task1.
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