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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
6535
Venue
SIGMOD
Year
2023
Pagerank
4.6306186e-05
Overall Rank
7,854 | 45.42%
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
8,003 The Holon Approach for Simultaneously Tuning Multiple Components in a Self-Driving Database Management System with Machine Learning via Synthesized Proto-Actions 2024 VLDB 4.6049527e-05
8,440 PARQO: Penalty-Aware Robust Plan Selection in Query Optimization 2024 VLDB 4.505741e-05
9,692 ROME: Robust Query Optimization via Parallel Multi-Plan Execution 2024 SIGMOD 4.2986161e-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 4.1905499e-05
10,291 ConANN: Conformal Approximate Nearest Neighbor Search 2026 VLDB 4.1905499e-05
10,757 PAR2QO: Parametric Penalty-Aware Robust Query Optimization 2025 VLDB 4.1905499e-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
63 Improved Histograms for Selectivity Estimation of Range Predicates 1996 SIGMOD 0.00063595699
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059446482
92 Practical Selectivity Estimation through Adaptive Sampling 1990 SIGMOD 0.00051431888
181 LEO - DB2's LEarning Optimizer 2001 VLDB 0.00036970794
203 Learned Cardinalities: Estimating Correlated Joins with Deep Learning 2019 CIDR 0.00034868567
329 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
373 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354685
606 DeepDB: Learn from Data, not from Queries! 2020 VLDB 0.00019251186
634 Bao: Making Learned Query Optimization Practical 2021 SIGMOD 0.00018844568
680 Towards a Robust Query Optimizer: A Principled and Practical Approach 2005 SIGMOD 0.00018193263
804 An End-to-End Learning-based Cost Estimator 2020 VLDB 0.0001643674
838 Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data 2001 SIGMOD 0.00016024923
905 NeuroCard: One Cardinality Estimator for All Tables 2021 VLDB 0.00015423174
941 Wander Join: Online Aggregation via Random Walks 2016 SIGMOD 0.00015147831
1,104 Cardinality Estimation Done Right: Index-Based Join Sampling 2017 CIDR 0.0001398479
1,404 DB-BERT: A Database Tuning Tool that "Reads the Manual" 2022 SIGMOD 0.00012179714
1,683 Cardinality Estimation: An Experimental Survey 2018 VLDB 0.0001091276
1,699 Are We Ready For Learned Cardinality Estimation? 2021 VLDB 0.00010848882
1,756 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00010659753
1,978 Improved Selectivity Estimation by Combining Knowledge from Sampling and Synopses 2018 VLDB 9.8764627e-05
2,143 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 9.4437798e-05
2,222 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.2598438e-05
2,247 Orca: A Modular Query Optimizer Architecture for Big Data 2014 SIGMOD 9.201975e-05
2,781 Flow-Loss: Learning Cardinality Estimates That Matter 2021 VLDB 8.1282042e-05
2,937 DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems 2021 VLDB 7.8552033e-05
3,455 Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation 2022 VLDB 7.0760196e-05
3,924 A Unified Deep Model of Learning from both Data and Queries for Cardinality Estimation 2021 SIGMOD 6.6227223e-05
3,955 Efficiently Approximating Selectivity Functions using Low Overhead Regression Models 2020 VLDB 6.5895015e-05
4,032 Spatial Online Sampling and Aggregation 2016 VLDB 6.5131946e-05
4,480 Variance Aware Optimization of Parameterized Queries 2010 SIGMOD 6.1433292e-05
4,800 Efficient Deep Learning Pipelines for Accurate Cost Estimations Over Large Scale Query Workload 2021 SIGMOD 5.9077188e-05
5,696 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 5.367449e-05
7,278 Sia: Optimizing Queries using Learned Predicates 2021 SIGMOD 4.7720613e-05
7,461 Scalable Multi-Query Execution using Reinforcement Learning 2021 SIGMOD 4.7193668e-05
7,611 Learning to be a Statistician: Learned Estimator for Number of Distinct Values 2022 VLDB 4.6920008e-05
8,193 On the Calculation of Optimality Ranges for Relational Query Execution Plans 2018 SIGMOD 4.5575291e-05
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