| 402 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00019095982 |
| 688 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00014749318 |
| 1,465 |
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities |
2019 |
SIGMOD |
0.00010572023 |
| 1,605 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2019 |
SIGMOD |
0.00010095581 |
| 1,800 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2018 |
VLDB |
9.6082185e-05 |
| 1,835 |
Authenticated Join Processing in Outsourced Databases |
2009 |
SIGMOD |
9.53331e-05 |
| 1,989 |
Plan Bouquets: Query Processing without Selectivity Estimation |
2014 |
SIGMOD |
9.2469024e-05 |
| 2,162 |
DIFF: A Relational Interface for Large-Scale Data Explanation |
2019 |
VLDB |
8.9344773e-05 |
| 2,524 |
Multi-Objective Parametric Query Optimization |
2015 |
VLDB |
8.3400278e-05 |
| 3,527 |
Identifying Robust Plans through Plan Diagram Reduction |
2008 |
VLDB |
7.2283486e-05 |
| 3,544 |
Computation Reuse in Analytics Job Service at Microsoft |
2018 |
SIGMOD |
7.2108612e-05 |
| 3,593 |
Looking Ahead Makes Query Plans Robust: Making the Initial Case with In-Memory Star Schema Data Warehouse Workloads |
2017 |
VLDB |
7.1803217e-05 |
| 4,069 |
Dynamically Optimizing Queries over Large Scale Data Platforms |
2014 |
SIGMOD |
6.8184364e-05 |
| 4,108 |
Content-Based Routing: Different Plans for Different Data |
2005 |
VLDB |
6.8000756e-05 |
| 4,508 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.5696141e-05 |
| 4,796 |
Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling |
2021 |
VLDB |
6.409726e-05 |
| 4,945 |
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics |
2025 |
SIGMOD |
6.3418058e-05 |
| 5,200 |
Exact Cardinality Query Optimization with Bounded Execution Cost |
2019 |
SIGMOD |
6.2303304e-05 |
| 5,227 |
Approximation Schemes for Many-Objective Query Optimization |
2014 |
SIGMOD |
6.2183387e-05 |
| 5,553 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
6.0843382e-05 |
| 5,598 |
StatAdvisor: Recommending Statistical Views |
2009 |
VLDB |
6.0690976e-05 |
| 5,988 |
On the Stability of Plan Costs and the Costs of Plan Stability |
2010 |
VLDB |
5.9229752e-05 |
| 6,024 |
Proactive Re-optimization with Rio |
2005 |
SIGMOD |
5.9096276e-05 |
| 6,114 |
Robustness Metrics for Relational Query Execution Plans |
2018 |
VLDB |
5.8796178e-05 |
| 6,171 |
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra |
2021 |
SIGMOD |
5.8597104e-05 |
| 6,444 |
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation |
2020 |
SIGMOD |
5.7807677e-05 |
| 6,710 |
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing |
2021 |
VLDB |
5.7022785e-05 |
| 6,776 |
Cheap Data Analytics using Cold Storage Devices |
2016 |
VLDB |
5.6834455e-05 |
| 7,251 |
Efficient Adaptive Detection of Complex Event Patterns |
2018 |
VLDB |
5.5719214e-05 |
| 7,378 |
Stop-and-Restart Style Execution for Long Running Decision Support Queries |
2007 |
VLDB |
5.537392e-05 |
| 7,413 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
5.5316834e-05 |
| 7,492 |
Non-Invasive Progressive Optimization for In-Memory Databases |
2016 |
VLDB |
5.5094171e-05 |
| 7,603 |
On the Calculation of Optimality Ranges for Relational Query Execution Plans |
2018 |
SIGMOD |
5.4846849e-05 |
| 7,958 |
Robust Query Processing: Mission Possible |
2020 |
VLDB |
5.4164639e-05 |
| 8,049 |
Adaptive Optimizations of Recursive Queries in Teradata |
2012 |
SIGMOD |
5.3988942e-05 |
| 8,165 |
A Concave Path to Low-overhead Robust Query Processing |
2018 |
VLDB |
5.3847569e-05 |
| 8,192 |
Progressive Optimization in a Shared-Nothing Parallel Database |
2007 |
SIGMOD |
5.379021e-05 |
| 8,348 |
MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates |
2020 |
SIGMOD |
5.3486679e-05 |
| 8,393 |
PARQO: Penalty-Aware Robust Plan Selection in Query Optimization |
2024 |
VLDB |
5.3387995e-05 |
| 8,531 |
ROME: Robust Query Optimization via Parallel Multi-Plan Execution |
2024 |
SIGMOD |
5.3206021e-05 |
| 8,860 |
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms |
2023 |
VLDB |
5.2620362e-05 |
| 9,134 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
5.2223611e-05 |
| 9,310 |
Rethink Query Optimization in HTAP Databases |
2023 |
SIGMOD |
5.1963298e-05 |
| 9,325 |
On-Demand State Separation for Cloud Data Warehousing |
2022 |
VLDB |
5.1933808e-05 |
| 9,735 |
PAR2QO: Parametric Penalty-Aware Robust Query Optimization |
2025 |
VLDB |
5.1325223e-05 |
| 10,380 |
Coresets for Robust Query Optimization |
2026 |
PODS |
4.9769913e-05 |
| 11,291 |
Robust Plan Evaluation based on Approximate Probabilistic Machine Learning |
2025 |
VLDB |
4.9769913e-05 |
| 11,783 |
Anser: Adaptive Information Sharing Framework of AnalyticDB |
2023 |
VLDB |
4.9769913e-05 |
| 12,208 |
Tighter Upper Bounds for Join Cardinality Estimates |
2018 |
SIGMOD |
4.9769913e-05 |
| 12,783 |
Visualizing the robustness of query execution |
2009 |
CIDR |
4.9769913e-05 |