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SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning

Summary: SkinnerDB uses RL-based adaptive query processing to bound regret by cycling join orders. It layers on DBMSs or runs standalone, using timeouts and an iterative scheme to explore orders with a compact representation for fast switches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h585e62310c21bd36
Venue
VLDB
Year
2018
Pagerank
9.6093317e-05
Overall Rank
1,800 | 87.90%
DOI
10.14778/3229863.3236263

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{trummer_vldb18,
        title = {{SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning}},
        author = {Trummer, Immanuel and Moseley, Samuel and Maram, Deepak and Jo, Saehan and Antonakakis, Joseph},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {12},
        pages = {2074--2077},
        doi = {10.14778/3229863.3236263},
        url = {https://doi.org/10.14778/3229863.3236263},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

Showing 16 of 16 citing papers.

Rank Citing Paper Year Venue Pagerank
145 Neo: A Learned Query Optimizer 2019 VLDB 0.0002908188
362 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00019989474
3,271 Estimating Cardinalities with Deep Sketches 2019 SIGMOD 7.4744941e-05
3,563 Auto-WLM: Machine Learning Enhanced Workload Management in Amazon Redshift 2023 SIGMOD 7.2042148e-05
4,293 A Method for Optimizing Opaque Filter Queries 2020 SIGMOD 6.6819917e-05
5,214 Stage: Query Execution Time Prediction in Amazon Redshift 2024 SIGMOD 6.2248104e-05
5,674 HMAB: Self-Driving Hierarchy of Bandits for Integrated Physical Database Design Tuning 2023 VLDB 6.0430252e-05
6,031 Efficient and Effective Similar Subtrajectory Search with Deep Reinforcement Learning 2020 VLDB 5.9104518e-05
6,710 Simple Adaptive Query Processing vs. Learned Query Optimizers: Observations and Analysis 2023 VLDB 5.7019157e-05
8,332 Learned Offline Query Planning via Bayesian Optimization 2025 SIGMOD 5.3528188e-05
8,345 MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates 2020 SIGMOD 5.3511996e-05
9,161 Making Data Clouds Smarter at Keebo: Automated Warehouse Optimization using Data Learning 2023 SIGMOD 5.2154395e-05
9,515 Optimizing Distributed Protocols with Query Rewrites 2024 SIGMOD 5.1691568e-05
10,103 Still Asking: How Good Are Query Optimizers, Really? 2025 VLDB 5.0789354e-05
10,941 Ultron: History-Based Query Optimization at Databricks 2026 VLDB 4.9793485e-05
11,816 SIFTER: Space-Efficient Value Iteration for Finite-Horizon MDPs 2023 VLDB 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 22 of 22 cited papers.

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

Rank Cited Paper Year Venue Pagerank
15 How Good Are Query Optimizers, Really? 2016 VLDB 0.00061066921
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00040860054
79 Practical Selectivity Estimation through Adaptive Sampling 1990 SIGMOD 0.00036487763
98 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00034106982
224 Self-Driving Database Management Systems 2017 CIDR 0.00024013745
346 Sequential Sampling Procedures For Query Size Estimation 1992 SIGMOD 0.00020329113
402 Worst-case Optimal Join Algorithms 2012 PODS 0.00019104625
569 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00016245271
629 Performance Prediction for Concurrent Database Workloads 2011 SIGMOD 0.00015429949
646 Exploiting Statistics on Query Expressions for Optimization 2002 SIGMOD 0.0001520859
682 Robust Estimation of Resource Consumption for SQL Queries using Statistical Techniques 2012 VLDB 0.0001481781
836 Proactive Re-Optimization 2005 SIGMOD 0.00013557047
1,108 Maximizing the Output Rate of Multi-Way Join Queries over Streaming Information Sources 2003 VLDB 0.00011991195
1,257 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00011310561
1,987 Plan Bouquets: Query Processing without Selectivity Estimation 2014 SIGMOD 9.250242e-05
2,172 A Black-Box Approach to Query Cardinality Estimation 2007 CIDR 8.9214171e-05
3,527 Identifying Robust Plans through Plan Diagram Reduction 2008 VLDB 7.2310714e-05
4,069 Dynamically Optimizing Queries over Large Scale Data Platforms 2014 SIGMOD 6.821366e-05
4,659 Automated Statistics Collection in DB2 UDB 2004 VLDB 6.4822228e-05
5,386 PREDIcT: Towards Predicting the Runtime of Large Scale Iterative Analytics 2013 VLDB 6.1522468e-05
5,597 StatAdvisor: Recommending Statistical Views 2009 VLDB 6.0718206e-05
6,393 QUEST: An Exploratory Approach to Robust Query Processing 2014 VLDB 5.8002013e-05
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