| 502 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00021526612 |
| 1,105 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00013990395 |
| 1,828 |
Authenticated Join Processing in Outsourced Databases |
2009 |
SIGMOD |
0.00010389392 |
| 2,142 |
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities |
2019 |
SIGMOD |
9.4507296e-05 |
| 2,154 |
DIFF: A Relational Interface for Large-Scale Data Explanation |
2019 |
VLDB |
9.4208667e-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 |
| 4,174 |
Computation Reuse in Analytics Job Service at Microsoft |
2018 |
SIGMOD |
6.3856219e-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 |
| 4,874 |
Approximation Schemes for Many-Objective Query Optimization |
2014 |
SIGMOD |
5.8594632e-05 |
| 4,883 |
Content-Based Routing: Different Plans for Different Data |
2005 |
VLDB |
5.8545658e-05 |
| 5,014 |
Dynamically Optimizing Queries over Large Scale Data Platforms |
2014 |
SIGMOD |
5.7586174e-05 |
| 5,530 |
Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling |
2021 |
VLDB |
5.4554282e-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 |
| 6,191 |
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra |
2021 |
SIGMOD |
5.1642282e-05 |
| 6,390 |
Proactive Re-optimization with Rio |
2005 |
SIGMOD |
5.0842083e-05 |
| 6,561 |
On the Stability of Plan Costs and the Costs of Plan Stability |
2010 |
VLDB |
5.0099895e-05 |
| 6,648 |
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation |
2020 |
SIGMOD |
4.9771723e-05 |
| 6,665 |
Cheap Data Analytics using Cold Storage Devices |
2016 |
VLDB |
4.9697181e-05 |
| 6,763 |
Robustness Metrics for Relational Query Execution Plans |
2018 |
VLDB |
4.9338479e-05 |
| 7,088 |
Stop-and-Restart Style Execution for Long Running Decision Support Queries |
2007 |
VLDB |
4.8376651e-05 |
| 7,126 |
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics |
2025 |
SIGMOD |
4.8232367e-05 |
| 7,305 |
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing |
2021 |
VLDB |
4.7678776e-05 |
| 7,318 |
Efficient Adaptive Detection of Complex Event Patterns |
2018 |
VLDB |
4.7638874e-05 |
| 7,338 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
4.7584583e-05 |
| 7,465 |
Non-Invasive Progressive Optimization for In-Memory Databases |
2016 |
VLDB |
4.7228742e-05 |
| 7,863 |
Adaptive Optimizations of Recursive Queries in Teradata |
2012 |
SIGMOD |
4.6328993e-05 |
| 8,127 |
Robust Query Processing: Mission Possible |
2020 |
VLDB |
4.579056e-05 |
| 8,158 |
MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates |
2020 |
SIGMOD |
4.5730772e-05 |
| 8,165 |
Progressive Optimization in a Shared-Nothing Parallel Database |
2007 |
SIGMOD |
4.5717277e-05 |
| 8,213 |
On the Calculation of Optimality Ranges for Relational Query Execution Plans |
2018 |
SIGMOD |
4.557937e-05 |
| 8,448 |
PARQO: Penalty-Aware Robust Plan Selection in Query Optimization |
2024 |
VLDB |
4.5100508e-05 |
| 8,639 |
A Concave Path to Low-overhead Robust Query Processing |
2018 |
VLDB |
4.4793681e-05 |
| 8,775 |
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms |
2023 |
VLDB |
4.4553047e-05 |
| 9,006 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
4.4101482e-05 |
| 9,125 |
On-Demand State Separation for Cloud Data Warehousing |
2022 |
VLDB |
4.3917246e-05 |
| 9,187 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
4.3780059e-05 |
| 9,693 |
ROME: Robust Query Optimization via Parallel Multi-Plan Execution |
2024 |
SIGMOD |
4.3027391e-05 |
| 9,937 |
Rethink Query Optimization in HTAP Databases |
2023 |
SIGMOD |
4.2482599e-05 |
| 10,627 |
Robust Plan Evaluation based on Approximate Probabilistic Machine Learning |
2025 |
VLDB |
4.1945683e-05 |
| 10,751 |
PAR2QO: Parametric Penalty-Aware Robust Query Optimization |
2025 |
VLDB |
4.1945683e-05 |
| 11,267 |
Anser: Adaptive Information Sharing Framework of AnalyticDB |
2023 |
VLDB |
4.1945683e-05 |
| 11,698 |
Tighter Upper Bounds for Join Cardinality Estimates |
2018 |
SIGMOD |
4.1945683e-05 |
| 12,291 |
Visualizing the robustness of query execution |
2009 |
CIDR |
4.1945683e-05 |
| 12,488 |
Asking the Right Questions: Model-driven Optimization using Probes |
2006 |
PODS |
4.1945683e-05 |