| 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 |