| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059038975 |
| 333 |
Neo: A Learned Query Optimizer |
2019 |
VLDB |
0.00027206884 |
| 884 |
Plan-Structured Deep Neural Network Models for Query Performance Prediction |
2019 |
VLDB |
0.00015654004 |
| 1,272 |
Proactive Re-Optimization |
2005 |
SIGMOD |
0.00012920076 |
| 1,758 |
Sampling-Based Query Re-Optimization |
2016 |
SIGMOD |
0.00010655546 |
| 2,142 |
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities |
2019 |
SIGMOD |
9.4507296e-05 |
| 2,156 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2018 |
VLDB |
9.4170209e-05 |
| 2,219 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2019 |
SIGMOD |
9.2623533e-05 |
| 2,631 |
Plan Bouquets: Query Processing without Selectivity Estimation |
2014 |
SIGMOD |
8.4101843e-05 |
| 2,659 |
Multi-Objective Parametric Query Optimization |
2015 |
VLDB |
8.3604734e-05 |
| 3,408 |
Query Optimizers: Time to Rethink the Contract? |
2009 |
SIGMOD |
7.1288167e-05 |
| 3,645 |
Large-Scale Collective Entity Matching |
2011 |
VLDB |
6.8853274e-05 |
| 3,658 |
Towards a Hands-Free Query Optimizer through Deep Learning |
2019 |
CIDR |
6.8704209e-05 |
| 3,727 |
Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection |
2022 |
VLDB |
6.8141709e-05 |
| 4,195 |
Warding off the Dangers of Data Corruption with Amulet |
2011 |
SIGMOD |
6.368976e-05 |
| 4,276 |
Looking Ahead Makes Query Plans Robust: Making the Initial Case with In-Memory Star Schema Data Warehouse Workloads |
2017 |
VLDB |
6.2976602e-05 |
| 4,348 |
Identifying Robust Plans through Plan Diagram Reduction |
2008 |
VLDB |
6.2660237e-05 |
| 4,436 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.1909336e-05 |
| 4,482 |
Variance Aware Optimization of Parameterized Queries |
2010 |
SIGMOD |
6.1482936e-05 |
| 4,874 |
Approximation Schemes for Many-Objective Query Optimization |
2014 |
SIGMOD |
5.8594632e-05 |
| 5,581 |
CliffGuard: A Principled Framework for Finding Robust Database Designs |
2015 |
SIGMOD |
5.424205e-05 |
| 5,668 |
A Pay-As-You-Go Framework for Query Execution Feedback |
2008 |
VLDB |
5.3806337e-05 |
| 5,685 |
Exact Cardinality Query Optimization with Bounded Execution Cost |
2019 |
SIGMOD |
5.3717535e-05 |
| 5,815 |
StatAdvisor: Recommending Statistical Views |
2009 |
VLDB |
5.3165295e-05 |
| 6,278 |
Uncertainty Aware Query Execution Time Prediction |
2014 |
VLDB |
5.1309442e-05 |
| 6,479 |
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees |
2017 |
SIGMOD |
5.0483805e-05 |
| 6,561 |
On the Stability of Plan Costs and the Costs of Plan Stability |
2010 |
VLDB |
5.0099895e-05 |
| 6,763 |
Robustness Metrics for Relational Query Execution Plans |
2018 |
VLDB |
4.9338479e-05 |
| 6,874 |
ROX: Run-time Optimization of XQueries |
2009 |
SIGMOD |
4.8978984e-05 |
| 7,126 |
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics |
2025 |
SIGMOD |
4.8232367e-05 |
| 7,776 |
Plan Stitch: Harnessing the Best of Many Plans |
2018 |
VLDB |
4.6537231e-05 |
| 7,854 |
dbET: Execution Time Distribution-based Plan Selection |
2023 |
SIGMOD |
4.6350172e-05 |
| 8,158 |
MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates |
2020 |
SIGMOD |
4.5730772e-05 |
| 8,164 |
Efficiently Computing Join Orders with Heuristic Search |
2023 |
SIGMOD |
4.5718104e-05 |
| 8,448 |
PARQO: Penalty-Aware Robust Plan Selection in Query Optimization |
2024 |
VLDB |
4.5100508e-05 |
| 9,380 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
4.3461329e-05 |
| 9,693 |
ROME: Robust Query Optimization via Parallel Multi-Plan Execution |
2024 |
SIGMOD |
4.3027391e-05 |
| 10,205 |
RIB: Robust Learning-based Index Benefit Estimation |
2026 |
SIGMOD |
4.1945683e-05 |
| 10,627 |
Robust Plan Evaluation based on Approximate Probabilistic Machine Learning |
2025 |
VLDB |
4.1945683e-05 |
| 10,630 |
Conformal Prediction for Verifiable Learned Query Optimization |
2025 |
VLDB |
4.1945683e-05 |
| 10,751 |
PAR2QO: Parametric Penalty-Aware Robust Query Optimization |
2025 |
VLDB |
4.1945683e-05 |
| 11,698 |
Tighter Upper Bounds for Join Cardinality Estimates |
2018 |
SIGMOD |
4.1945683e-05 |
| 12,311 |
Large-Scale Uncertainty Management Systems: Learning and Exploiting Your Data (Tutorial Summary) |
2009 |
SIGMOD |
4.1945683e-05 |
| 12,488 |
Asking the Right Questions: Model-driven Optimization using Probes |
2006 |
PODS |
4.1945683e-05 |