Toward Drift-Aware Database Benchmarking

Summary: Introduces a taxonomy and executable DriftSpec language for modeling data and workload drift. DriftBench generates controlled evolution, enabling continuous, standardized evaluation of caches, estimators, indexes, and optimizers beyond static benchmarks. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: hfe0a21bd76dc84ee
Venue: VLDB
Year: 2026
Pagerank: 4.9793485e-05
Overall Rank: 10,751 | 27.72%
DOI: 10.14778/3811243.3811254

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Guanli Liu (University of Melbourne)
2. Renata Borovica-Gajic (University of Melbourne)

BibTeX Citation

@article{liu_vldb26,
        title = {{Toward Drift-Aware Database Benchmarking}},
        author = {Liu, Guanli and Borovica-Gajic, Renata},
        journal = {PVLDB},
        series = {{VLDB} '26},
        volume = {19},
        number = {8},
        pages = {1818--1825},
        doi = {10.14778/3811243.3811254},
        url = {https://doi.org/10.14778/3811243.3811254},
        year = {2026}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 35 of 35 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
2	R-Trees: A Dynamic Index Structure For Spatial Searching	1984	SIGMOD	0.001992968
4	The R*-tree: An Efficient and Robust Access Method for Points and Rectangles	1990	SIGMOD	0.0011405675
15	How Good Are Query Optimizers, Really?	2016	VLDB	0.00061066921
85	Learned Cardinalities: Estimating Correlated Joins with Deep Learning	2019	CIDR	0.00035864347
145	Neo: A Learned Query Optimizer	2019	VLDB	0.0002908188
235	OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases	2014	VLDB	0.00023697028
362	Bao: Making Learned Query Optimization Practical	2021	SIGMOD	0.00019989474
406	Deep Unsupervised Cardinality Estimation	2020	VLDB	0.00019045544
463	The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds	2020	VLDB	0.00017804544
692	Selectivity Estimation for Range Predicates using Lightweight Models	2019	VLDB	0.00014741011
747	QAGen: Generating Query-Aware Test Databases	2007	SIGMOD	0.00014283935
779	FITing-Tree: A Data-aware Index Structure	2019	SIGMOD	0.00014030069
848	Benchmarking Learned Indexes	2021	VLDB	0.00013506188
868	Learning Multi-dimensional Indexes	2020	SIGMOD	0.00013354403
1,199	Balsa: Learning a Query Optimizer Without Expert Demonstrations	2022	SIGMOD	0.00011563985
1,515	DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems	2021	VLDB	0.00010417728
1,839	Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet	2024	VLDB	9.5304799e-05
1,878	Effectively Learning Spatial Indices	2020	VLDB	9.4451309e-05
2,636	Are Updatable Learned Indexes Ready?	2022	VLDB	8.1941043e-05
4,090	Generating Databases for Query Workloads	2010	VLDB	6.8126942e-05
4,132	SQLStorm: Taking Database Benchmarking into the LLM Era	2025	VLDB	6.7885553e-05
4,563	Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts	2022	SIGMOD	6.5320994e-05
4,616	The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures	2022	SIGMOD	6.5000712e-05
4,850	The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data	2023	SIGMOD	6.3808017e-05
5,537	Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices	2023	SIGMOD	6.0919359e-05
5,865	Modeling Shifting Workloads for Learned Database Systems	2024	SIGMOD	5.9659203e-05
6,468	QUILTS: Multidimensional Partitioning Framework Based on Query-Aware and Skew-Tolerant Space-Filling Curves	2017	SIGMOD	5.7745756e-05
6,595	LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves	2023	VLDB	5.7413481e-05
7,157	Sibyl: Forecasting Time-Evolving Query Workloads	2024	SIGMOD	5.5972283e-05
8,036	Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads	2025	SIGMOD	5.4025086e-05
8,179	Towards Designing and Learning Piecewise Space-Filling Curves	2023	VLDB	5.3826446e-05
8,208	LST-Bench: Benchmarking Log-Structured Tables in the Cloud	2024	SIGMOD	5.3775598e-05
8,385	NeurDB: On the Design and Implementation of an AI-powered Autonomous Database	2025	CIDR	5.3420959e-05
10,242	Redbench: Workload Synthesis From Cloud Traces	2026	VLDB	5.0525742e-05
11,660	Efficient Cost Modeling of Space-filling Curves	2024	VLDB	4.9793485e-05

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