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DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems

Summary: DSB extends TPC-DS as a decision-support benchmark for workload-driven and traditional DBs. It adds complex data distributions, dynamic workloads, semantically rich query templates, and evaluation metrics; includes a case study and code at https://aka.ms/dsb. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
12735
Venue
VLDB
Year
2021
Pagerank
9.6607418e-05
Overall Rank
1,832 | 87.44%
DOI
10.14778/3484224.3484234

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{ding_vldb21,
        title = {{DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems}},
        author = {Ding, Bailu and Chaudhuri, Surajit and Gehrke, Johannes and Narasayya, Vivek},
        journal = {PVLDB},
        series = {{VLDB} '21},
        volume = {14},
        number = {13},
        pages = {3376--3388},
        doi = {10.14778/3484224.3484234},
        url = {https://doi.org/10.14778/3484224.3484234},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 46 of 46 citing papers.

Rank Citing Paper Year Venue Pagerank
2,553 LLM-R^2: A Large Language Model Enhanced Rule-based Rewrite System for Boosting Query Efficiency 2025 VLDB 8.4283807e-05
3,877 An Empirical Evaluation of Columnar Storage Formats 2024 VLDB 7.0532293e-05
5,010 Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server 2023 VLDB 6.4023732e-05
5,169 LearnedSQLGen: Constraint-aware SQL Generation using Reinforcement Learning 2022 SIGMOD 6.3349035e-05
5,529 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 6.18591e-05
5,712 Sample-Efficient Cardinality Estimation Using Geometric Deep Learning 2024 VLDB 6.1123894e-05
5,744 SQLStorm: Taking Database Benchmarking into the LLM Era 2025 VLDB 6.1019672e-05
5,869 ISUM: Efficiently Compressing Large and Complex Workloads for Scalable Index Tuning 2022 SIGMOD 6.0610922e-05
6,259 R-Bot: An LLM-based Query Rewrite System 2025 VLDB 5.93967e-05
6,323 Modeling Shifting Workloads for Learned Database Systems 2024 SIGMOD 5.9141228e-05
6,327 Breaking It Down: An In-depth Study of Index Advisors 2024 VLDB 5.9124005e-05
7,193 dbET: Execution Time Distribution-based Plan Selection 2023 SIGMOD 5.6770249e-05
7,660 Pruning in Snowflake: Working Smarter, Not Harder 2025 SIGMOD 5.5736132e-05
7,809 Can Large Language Models Be Query Optimizer for Relational Databases? 2026 SIGMOD 5.5399022e-05
7,846 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 5.5331459e-05
8,163 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 5.4751517e-05
8,204 PilotDB: Database-Agnostic Online Approximate Query Processing with A Priori Error Guarantees 2025 SIGMOD 5.4667903e-05
8,305 PARQO: Penalty-Aware Robust Plan Selection in Query Optimization 2024 VLDB 5.4568571e-05
8,467 LST-Bench: Benchmarking Log-Structured Tables in the Cloud 2024 SIGMOD 5.4187125e-05
8,721 Accelerate Distributed Joins with Predicate Transfer 2025 SIGMOD 5.3772617e-05
8,984 Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems 2024 VLDB 5.3395569e-05
9,047 SQL-Factory: A Multi-Agent Framework for High-Quality and Large-Scale SQL Generation 2026 VLDB 5.3251649e-05
9,366 MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores 2023 SIGMOD 5.2789847e-05
9,601 Low Rank Learning for Offline Query Optimization 2025 SIGMOD 5.2487799e-05
9,756 Efficient Query Re-optimization with Judicious Subquery Selections 2023 SIGMOD 5.2258278e-05
9,958 A Practical Theory of Generalization in Selectivity Learning 2025 VLDB 5.1879626e-05
9,971 Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement 2025 SIGMOD 5.1845938e-05
10,139 Leveraging Query Optimizers to Verify the Soundness of LLM-based Query Rewrites for Real-World Workloads, and More! 2026 CIDR 5.093636e-05
10,196 Are Learned DBMS Components Robust to Workload Drift?: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,218 Detecting Join Bugs in Database Engines via Join Implication Reasoning 2026 SIGMOD 5.093636e-05
10,272 NeurBench: A Benchmark Suite for Learned Database Components with Drift Modeling: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,296 Succinct Structure Representations for Efficient Query Optimization 2026 SIGMOD 5.093636e-05
10,306 Workload-Aware Incremental Reclustering in Cloud Data Warehouses 2026 SIGMOD 5.093636e-05
10,413 Understanding and Detecting Query Performance Regression in Practical Index Tuning: [Experiments & Analysis] 2026 SIGMOD 5.093636e-05
10,445 Divo: Learning a Stable and Effective Query Optimizer with a Diverse Workload 2026 SIGMOD 5.093636e-05
10,492 Reqo: A Comprehensive Learning-Based Cost Model for Robust and Explainable Query Optimization 2026 SIGMOD 5.093636e-05
10,506 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 5.093636e-05
10,513 LIO: A lightweight and interpretable query optimizer based on an evolutionary forest 2026 VLDB 5.093636e-05
10,515 Sample-based Distinct Cardinality Estimation for Multiple Attributes in Multi-Dataset Queries 2026 VLDB 5.093636e-05
10,559 OBELISK: Efficient Offline Query Planning with Bayesian Optimization-Informed Language Model Reasoning 2026 VLDB 5.093636e-05
10,569 Toward Drift-Aware Database Benchmarking 2026 VLDB 5.093636e-05
10,875 Data-Agnostic Cardinality Learning from Imperfect Workloads 2025 VLDB 5.093636e-05
10,881 Robust Plan Evaluation based on Approximate Probabilistic Machine Learning 2025 VLDB 5.093636e-05
10,986 PAR2QO: Parametric Penalty-Aware Robust Query Optimization 2025 VLDB 5.093636e-05
11,103 RankPQO: Learning-to-Rank for Parametric Query Optimization 2025 VLDB 5.093636e-05
11,160 Sub-optimal Join Order Identification with L1-error 2024 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 13 of 13 cited papers.

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

Rank Cited Paper Year Venue Pagerank
18 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059284255
84 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00035838391
378 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019638121
388 Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors 2009 VLDB 0.00019410042
448 Self-tuning Histograms: Building Histograms Without Looking at Data 1999 SIGMOD 0.00018292618
513 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00017190574
563 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.0001650812
1,279 AI Meets AI: Leveraging Query Executions to Improve Index Recommendations 2019 SIGMOD 0.00011361878
2,313 Active Learning for ML Enhanced Database Systems 2020 SIGMOD 8.762627e-05
2,726 TPC-DS, Taking Decision Support Benchmarking to the Next Level 2002 SIGMOD 8.203274e-05
3,162 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 7.6785856e-05
3,777 Database Tuning Advisor for Microsoft SQL Server 2005: Demo 2005 SIGMOD 7.1347483e-05
4,849 Bitvector-aware Query Optimization for Decision Support Queries 2020 SIGMOD 6.4803828e-05
Previous Page 1 / 1 Next

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