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Towards a Robust Query Optimizer: A Principled and Practical Approach

Summary: Proposes robust query optimization by treating cardinality estimation probabilistically rather than exact. A Bayesian, sample-based estimator from precomputed samples captures correlations and enables performance/predictability tradeoffs, integrating with optimizers. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3630
Venue
SIGMOD
Year
2005
Pagerank
0.00018193263
Overall Rank
680 | 95.28%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 44 of 44 citing papers.

Rank Citing Paper Year Venue Pagerank
71 How Good Are Query Optimizers, Really? 2016 VLDB 0.00059446482
329 Neo: A Learned Query Optimizer 2019 VLDB 0.00027301488
876 Plan-Structured Deep Neural Network Models for Query Performance Prediction 2019 VLDB 0.00015660534
1,268 Proactive Re-Optimization 2005 SIGMOD 0.00012914584
1,756 Sampling-Based Query Re-Optimization 2016 SIGMOD 0.00010659753
2,143 Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities 2019 SIGMOD 9.4437798e-05
2,154 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2018 VLDB 9.4176683e-05
2,222 SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning 2019 SIGMOD 9.2598438e-05
2,632 Plan Bouquets: Query Processing without Selectivity Estimation 2014 SIGMOD 8.4153283e-05
2,652 Multi-Objective Parametric Query Optimization 2015 VLDB 8.3662031e-05
3,402 Query Optimizers: Time to Rethink the Contract? 2009 SIGMOD 7.134261e-05
3,570 Large-Scale Collective Entity Matching 2011 VLDB 6.9563715e-05
3,658 Towards a Hands-Free Query Optimizer through Deep Learning 2019 CIDR 6.8700949e-05
3,729 Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection 2022 VLDB 6.8078013e-05
4,196 Warding off the Dangers of Data Corruption with Amulet 2011 SIGMOD 6.3630395e-05
4,272 Looking Ahead Makes Query Plans Robust: Making the Initial Case with In-Memory Star Schema Data Warehouse Workloads 2017 VLDB 6.2933353e-05
4,342 Identifying Robust Plans through Plan Diagram Reduction 2008 VLDB 6.2680535e-05
4,434 Xplus: A SQL-Tuning-Aware Query Optimizer 2010 VLDB 6.1851729e-05
4,480 Variance Aware Optimization of Parameterized Queries 2010 SIGMOD 6.1433292e-05
4,876 Approximation Schemes for Many-Objective Query Optimization 2014 SIGMOD 5.8544467e-05
5,578 CliffGuard: A Principled Framework for Finding Robust Database Designs 2015 SIGMOD 5.4231783e-05
5,676 A Pay-As-You-Go Framework for Query Execution Feedback 2008 VLDB 5.3768269e-05
5,696 Exact Cardinality Query Optimization with Bounded Execution Cost 2019 SIGMOD 5.367449e-05
5,824 StatAdvisor: Recommending Statistical Views 2009 VLDB 5.311975e-05
6,277 Uncertainty Aware Query Execution Time Prediction 2014 VLDB 5.1260947e-05
6,471 Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees 2017 SIGMOD 5.0438582e-05
6,561 On the Stability of Plan Costs and the Costs of Plan Stability 2010 VLDB 5.0055336e-05
6,763 Robustness Metrics for Relational Query Execution Plans 2018 VLDB 4.9291549e-05
6,879 ROX: Run-time Optimization of XQueries 2009 SIGMOD 4.8934866e-05
7,122 Debunking the Myth of Join Ordering: Toward Robust SQL Analytics 2025 SIGMOD 4.8199209e-05
7,776 Plan Stitch: Harnessing the Best of Many Plans 2018 VLDB 4.6493147e-05
7,854 dbET: Execution Time Distribution-based Plan Selection 2023 SIGMOD 4.6306186e-05
8,149 Efficiently Computing Join Orders with Heuristic Search 2023 SIGMOD 4.5715614e-05
8,162 MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates 2020 SIGMOD 4.5686903e-05
8,440 PARQO: Penalty-Aware Robust Plan Selection in Query Optimization 2024 VLDB 4.505741e-05
9,387 Small Selectivities Matter: Lifting the Burden of Empty Samples 2021 SIGMOD 4.341968e-05
9,692 ROME: Robust Query Optimization via Parallel Multi-Plan Execution 2024 SIGMOD 4.2986161e-05
10,205 RIB: Robust Learning-based Index Benefit Estimation 2026 SIGMOD 4.1905499e-05
10,635 Robust Plan Evaluation based on Approximate Probabilistic Machine Learning 2025 VLDB 4.1905499e-05
10,638 Conformal Prediction for Verifiable Learned Query Optimization 2025 VLDB 4.1905499e-05
10,757 PAR2QO: Parametric Penalty-Aware Robust Query Optimization 2025 VLDB 4.1905499e-05
11,703 Tighter Upper Bounds for Join Cardinality Estimates 2018 SIGMOD 4.1905499e-05
12,319 Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary) 2009 SIGMOD 4.1905499e-05
12,497 Asking the Right Questions: Model-driven Optimization using Probes 2006 PODS 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 19 of 19 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1 Access Path Selection in a Relational Database Management System 1979 SIGMOD 0.0040465394
60 Sampling-Based Estimation of the Number of Distinct Values of an Attribute 1995 VLDB 0.00064450997
63 Improved Histograms for Selectivity Estimation of Range Predicates 1996 SIGMOD 0.00063595699
92 Practical Selectivity Estimation through Adaptive Sampling 1990 SIGMOD 0.00051431888
100 On the Propagation of Errors in the Size of Join Results 1991 SIGMOD 0.00050033475
114 Equi-Depth Histograms For Estimating Selectivity Factors For Multi-Dimensional Queries 1988 SIGMOD 0.00046317654
141 Selectivity Estimation Without the Attribute Value Independence Assumption 1997 VLDB 0.00041819767
212 Join Synopses for Approximate Query Answering 1999 SIGMOD 0.00033997204
223 Wavelet-Based Histograms for Selectivity Estimation 1998 SIGMOD 0.00032829841
250 Adaptive Selectivity Estimation Using Query Feedback 1994 SIGMOD 0.00030640525
325 The History of Histograms (abridged) 2003 VLDB 0.00027398081
326 Optimal Histograms with Quality Guarantees 1998 VLDB 0.0002737538
369 Sequential Sampling Procedures For Query Size Estimation 1992 SIGMOD 0.00025502381
373 Selectivity Estimation using Probabilistic Models 2001 SIGMOD 0.00025354685
838 Independence is Good: Dependency-Based Histogram Synopses for High-Dimensional Data 2001 SIGMOD 0.00016024923
1,234 Least Expected Cost Query Optimization: An Exercise in Utility 1999 PODS 0.00013115865
1,240 Multi-dimensional Selectivity Estimation Using Compressed Histogram Information 1999 SIGMOD 0.00013090678
2,187 Least Expected Cost Query Optimization: What Can We Expect? 2002 PODS 9.3429142e-05
2,552 Probabilistic Optimization of Top N Queries 1999 VLDB 8.5540341e-05
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