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Toward Drift-Aware Database Benchmarking

Summary: Introduces a taxonomy and declarative language (DriftSpec) for specifying executable data/workload drift. DriftBench generates controlled evolution, enabling standardized, continuous evaluation of caches, estimators, indexes, and optimizers beyond static benchmarks. (summarized by gpt-5.6-luna on Jul 09 2026)

Paper ID
14321
Venue
VLDB
Year
2026
Pagerank
4.1905499e-05
Overall Rank
10,282 | 28.54%
DOI
10.14778/3811243.3811254

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Showing 34 of 34 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 0.0032118946
6 The R*-tree: An Efficient and Robust Access Method for Points and Rectangles 1990 SIGMOD 0.0016113151
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059446482
203 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034868567
329 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
339 OLTP-Bench: An Extensible Testbed for Benchmarking Relational Databases 2014 VLDB 0.00026895683
634 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018844568
752 Deep Unsupervised Cardinality Estimation 2020 VLDB 0.00017138049
844 The PGM-index: a fully-dynamic compressed learned index with provable worst-case bounds 2020 VLDB 0.00015964123
882 QAGen: Generating Query-Aware Test Databases 2007 SIGMOD 0.00015634206
1,239 Selectivity Estimation for Range Predicates using Lightweight Models 2019 VLDB 0.00013091459
1,365 FITing-Tree: A Data-aware Index Structure 2019 SIGMOD 0.00012379754
1,438 Benchmarking Learned Indexes 2021 VLDB 0.00011965956
1,464 Learning Multi-dimensional Indexes 2020 SIGMOD 0.0001184772
2,090 Balsa: Learning a Query Optimizer Without Expert Demonstrations 2022 SIGMOD 9.5668285e-05
2,676 Effectively Learning Spatial Indices 2020 VLDB 8.326321e-05
2,937 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 7.8552033e-05
3,131 Why TPC Is Not Enough: An Analysis of the Amazon Redshift Fleet 2024 VLDB 7.5054309e-05
4,056 Are Updatable Learned Indexes Ready? 2022 VLDB 6.4905689e-05
4,441 Generating Databases for Query Workloads 2010 VLDB 6.1795515e-05
5,310 The Price of Tailoring the Index to Your Data: Poisoning Attacks on Learned Index Structures 2022 SIGMOD 5.5713508e-05
5,463 The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data 2023 SIGMOD 5.4920768e-05
5,528 Warper: Efficiently Adapting Learned Cardinality Estimators to Data and Workload Drifts 2022 SIGMOD 5.4571136e-05
6,442 Updatable Learned Indexes Meet Disk-Resident DBMS - From Evaluations to Design Choices 2023 SIGMOD 5.0541252e-05
6,693 QUILTS: Multidimensional Partitioning Framework Based on Query-Aware and Skew-Tolerant Space-Filling Curves 2017 SIGMOD 4.9557363e-05
6,806 LMSFC: A Novel Multidimensional Index based on Learned Monotonic Space Filling Curves 2023 VLDB 4.917024e-05
7,564 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 4.7049893e-05
7,809 Sibyl: Forecasting Time-Evolving Query Workloads 2024 SIGMOD 4.6415559e-05
7,887 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 4.6218382e-05
8,089 Towards Designing and Learning Piecewise Space-Filling Curves 2023 VLDB 4.5855593e-05
8,365 NeurDB: On the Design and Implementation of an AI-powered Autonomous Database 2025 CIDR 4.5305127e-05
8,596 LST-Bench: Benchmarking Log-Structured Tables in the Cloud 2024 SIGMOD 4.4839589e-05
9,005 Demonstrating SQLBarber: Leveraging Large Language Models to Generate Customized and Realistic SQL Workloads 2025 SIGMOD 4.407457e-05
11,139 Efficient Cost Modeling of Space-filling Curves 2024 VLDB 4.1905499e-05
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