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arXiv:2506.12488v1 (cs)
[Submitted on 14 Jun 2025 ]

Title: Redbench: A Benchmark Reflecting Real Workloads

Title: Redbench:反映真实工作负载的基准测试

Authors:Skander Krid, Mihail Stoian, Andreas Kipf
Abstract: Instance-optimized components have made their way into production systems. To some extent, this adoption is due to the characteristics of customer workloads, which can be individually leveraged during the model training phase. However, there is a gap between research and industry that impedes the development of realistic learned components: the lack of suitable workloads. Existing ones, such as TPC-H and TPC-DS, and even more recent ones, such as DSB and CAB, fail to exhibit real workload patterns, particularly distribution shifts. In this paper, we introduce Redbench, a collection of 30 workloads that reflect query patterns observed in the real world. The workloads were obtained by sampling queries from support benchmarks and aligning them with workload characteristics observed in Redset.
Abstract: 针对实例优化的组件已经进入生产系统。 在某种程度上,这种采用归因于客户工作负载的特性,在模型训练阶段可以单独利用这些特性。 然而,研究与工业之间存在一个阻碍现实学习组件发展的鸿沟:缺乏合适的负载。 现有的负载,如TPC-H和TPC-DS,甚至更新的负载,如DSB和CAB,都无法表现出真实的工作负载模式,特别是分布偏移。 在这篇论文中,我们介绍了Redbench,这是一个包含30个负载的集合,反映了在现实世界中观察到的查询模式。 这些负载是通过对支持基准中的查询进行采样,并将其与在Redset中观察到的工作负载特征对齐而获得的。
Comments: Eighth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM 2025)
Subjects: Databases (cs.DB)
Cite as: arXiv:2506.12488 [cs.DB]
  (or arXiv:2506.12488v1 [cs.DB] for this version)
  https://doi.org/10.48550/arXiv.2506.12488
arXiv-issued DOI via DataCite
Related DOI: https://doi.org/10.1145/3735403.3735998
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Submission history

From: Mihail Stoian [view email]
[v1] Sat, 14 Jun 2025 12:58:02 UTC (331 KB)
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