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dbET: Execution Time Distribution-based Plan Selection

Summary: dbET introduces execution-time distributions for query plans via conformal predictions, replacing single-cost estimates. No DBMS modification, minimal overhead; uses distributions to guide plan selection and improve objective attainment on benchmarks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6534
Venue
SIGMOD
Year
2023
Pagerank
4.6350172e-05
Overall Rank
7,854 | 45.37%
DOI
10.1145/3588711

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
8,020 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 4.6040862e-05
8,448 PARQO: Penalty-Aware Robust Plan Selection in Query Optimization 2024 VLDB 4.5100508e-05
9,693 ROME: Robust Query Optimization via Parallel Multi-Plan Execution 2024 SIGMOD 4.3027391e-05
10,217 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 4.1945683e-05
10,279 ConANN: Conformal Approximate Nearest Neighbor Search 2026 VLDB 4.1945683e-05
10,751 PAR2QO: Parametric Penalty-Aware Robust Query Optimization 2025 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 36 of 36 cited papers.

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

Rank Cited Paper Year Venue Pagerank
64 Improved Histograms for Selectivity Estimation of Range Predicates 1996 SIGMOD 0.00063612837
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059038975
92 Practical Selectivity Estimation through Adaptive Sampling 1990 SIGMOD 0.00051315959
182 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036962631
204 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034784455
333 Neo: A Learned Query Optimizer 2019 VLDB 0.00027206884
372 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354779
608 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019235898
640 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018759152
684 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00018179769
806 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.00016434274
842 Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data 2001 SIGMOD 0.00016031973
910 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423056
943 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015145883
1,105 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.00013990395
1,407 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00012146739
1,683 Cardinality Estimation: An Experimental Survey 2018 VLDB 0.00010922679
1,703 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010836769
1,758 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00010655546
1,981 Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses 2018 VLDB 9.8687545e-05
2,142 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 9.4507296e-05
2,219 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.2623533e-05
2,249 Orca: A Modular Query Optimizer Architecture for Big Data 2014 SIGMOD 9.2034693e-05
2,783 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 8.1293383e-05
2,985 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 7.7795847e-05
3,449 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0824319e-05
3,924 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 6.6271553e-05
3,954 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 6.5926838e-05
4,029 Spatial Online Sampling and Aggregation 2016 VLDB 6.51315e-05
4,482 Variance Aware Optimization of Parameterized Queries 2010 SIGMOD 6.1482936e-05
4,804 Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 2021 SIGMOD 5.910467e-05
5,685 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 5.3717535e-05
7,283 Sia: Optimizing Queries using Learned Predicates 2021 SIGMOD 4.7764688e-05
7,461 Scalable Multi-Query Execution using Reinforcement Learning 2021 SIGMOD 4.723898e-05
7,610 Learning to be a Statistician: Learned Estimator for Number of Distinct Values 2022 VLDB 4.6965039e-05
8,213 On the Calculation of Optimality Ranges for Relational Query Execution Plans 2018 SIGMOD 4.557937e-05
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