| 402 |
Worst-case Optimal Join Algorithms |
2012 |
PODS |
0.00019104625 |
| 688 |
Cardinality Estimation Done Right: Index-Based Join Sampling |
2017 |
CIDR |
0.00014753664 |
| 1,465 |
Pessimistic Cardinality Estimation: Tighter Upper Bounds for Intermediate Join Cardinalities |
2019 |
SIGMOD |
0.00010576304 |
| 1,603 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2019 |
SIGMOD |
0.00010097649 |
| 1,800 |
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning |
2018 |
VLDB |
9.6093317e-05 |
| 1,834 |
Authenticated Join Processing in Outsourced Databases |
2009 |
SIGMOD |
9.537823e-05 |
| 1,987 |
Plan Bouquets: Query Processing without Selectivity Estimation |
2014 |
SIGMOD |
9.250242e-05 |
| 2,160 |
DIFF: A Relational Interface for Large-Scale Data Explanation |
2019 |
VLDB |
8.9364035e-05 |
| 2,524 |
Multi-Objective Parametric Query Optimization |
2015 |
VLDB |
8.3439125e-05 |
| 3,527 |
Identifying Robust Plans through Plan Diagram Reduction |
2008 |
VLDB |
7.2310714e-05 |
| 3,545 |
Computation Reuse in Analytics Job Service at Microsoft |
2018 |
SIGMOD |
7.2134803e-05 |
| 3,592 |
Looking Ahead Makes Query Plans Robust: Making the Initial Case with In-Memory Star Schema Data Warehouse Workloads |
2017 |
VLDB |
7.1835842e-05 |
| 4,069 |
Dynamically Optimizing Queries over Large Scale Data Platforms |
2014 |
SIGMOD |
6.821366e-05 |
| 4,106 |
Content-Based Routing: Different Plans for Different Data |
2005 |
VLDB |
6.8032891e-05 |
| 4,506 |
Xplus: A SQL-Tuning-Aware Query Optimizer |
2010 |
VLDB |
6.5726463e-05 |
| 4,793 |
Permutable Compiled Queries: Dynamically Adapting Compiled Queries without Recompiling |
2021 |
VLDB |
6.4127583e-05 |
| 4,950 |
Debunking the Myth of Join Ordering: Toward Robust SQL Analytics |
2025 |
SIGMOD |
6.3421691e-05 |
| 5,199 |
Exact Cardinality Query Optimization with Bounded Execution Cost |
2019 |
SIGMOD |
6.2327836e-05 |
| 5,223 |
Approximation Schemes for Many-Objective Query Optimization |
2014 |
SIGMOD |
6.2212838e-05 |
| 5,551 |
Aero: Adaptive Query Processing of ML Queries |
2025 |
SIGMOD |
6.0872198e-05 |
| 5,597 |
StatAdvisor: Recommending Statistical Views |
2009 |
VLDB |
6.0718206e-05 |
| 5,988 |
On the Stability of Plan Costs and the Costs of Plan Stability |
2010 |
VLDB |
5.9257426e-05 |
| 6,029 |
Proactive Re-optimization with Rio |
2005 |
SIGMOD |
5.9105715e-05 |
| 6,113 |
Robustness Metrics for Relational Query Execution Plans |
2018 |
VLDB |
5.8823242e-05 |
| 6,169 |
Automatic Optimization of Matrix Implementations for Distributed Machine Learning and Linear Algebra |
2021 |
SIGMOD |
5.8624857e-05 |
| 6,441 |
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation |
2020 |
SIGMOD |
5.7834762e-05 |
| 6,706 |
Tempura: A General Cost-Based Optimizer Framework for Incremental Data Processing |
2021 |
VLDB |
5.7049776e-05 |
| 6,772 |
Cheap Data Analytics using Cold Storage Devices |
2016 |
VLDB |
5.6861277e-05 |
| 7,249 |
Efficient Adaptive Detection of Complex Event Patterns |
2018 |
VLDB |
5.5745603e-05 |
| 7,376 |
Stop-and-Restart Style Execution for Long Running Decision Support Queries |
2007 |
VLDB |
5.540013e-05 |
| 7,410 |
POLAR: Adaptive and Non-invasive Join Order Selection via Plans of Least Resistance |
2024 |
VLDB |
5.5342768e-05 |
| 7,487 |
Non-Invasive Progressive Optimization for In-Memory Databases |
2016 |
VLDB |
5.5119239e-05 |
| 7,597 |
On the Calculation of Optimality Ranges for Relational Query Execution Plans |
2018 |
SIGMOD |
5.4872821e-05 |
| 7,954 |
Robust Query Processing: Mission Possible |
2020 |
VLDB |
5.4190023e-05 |
| 8,042 |
Adaptive Optimizations of Recursive Queries in Teradata |
2012 |
SIGMOD |
5.4014499e-05 |
| 8,159 |
A Concave Path to Low-overhead Robust Query Processing |
2018 |
VLDB |
5.3873068e-05 |
| 8,185 |
Progressive Optimization in a Shared-Nothing Parallel Database |
2007 |
SIGMOD |
5.381532e-05 |
| 8,345 |
MONSOON: Multi-Step Optimization and Execution of Queries with Partially Obscured Predicates |
2020 |
SIGMOD |
5.3511996e-05 |
| 8,389 |
PARQO: Penalty-Aware Robust Plan Selection in Query Optimization |
2024 |
VLDB |
5.3413016e-05 |
| 8,524 |
ROME: Robust Query Optimization via Parallel Multi-Plan Execution |
2024 |
SIGMOD |
5.3231221e-05 |
| 8,850 |
SkinnerMT: Parallelizing for Efficiency and Robustness in Adaptive Query Processing on Multicore Platforms |
2023 |
VLDB |
5.2645282e-05 |
| 9,133 |
Hit the Gym: Accelerating Query Execution to Efficiently Bootstrap Behavior Models for Self-Driving Database Management Systems |
2024 |
VLDB |
5.2229655e-05 |
| 9,301 |
Rethink Query Optimization in HTAP Databases |
2023 |
SIGMOD |
5.1987909e-05 |
| 9,316 |
On-Demand State Separation for Cloud Data Warehousing |
2022 |
VLDB |
5.1958405e-05 |
| 9,730 |
PAR2QO: Parametric Penalty-Aware Robust Query Optimization |
2025 |
VLDB |
5.1349531e-05 |
| 10,368 |
Coresets for Robust Query Optimization |
2026 |
PODS |
4.9793485e-05 |
| 11,283 |
Robust Plan Evaluation based on Approximate Probabilistic Machine Learning |
2025 |
VLDB |
4.9793485e-05 |
| 11,777 |
Anser: Adaptive Information Sharing Framework of AnalyticDB |
2023 |
VLDB |
4.9793485e-05 |
| 12,202 |
Tighter Upper Bounds for Join Cardinality Estimates |
2018 |
SIGMOD |
4.9793485e-05 |
| 12,777 |
Visualizing the robustness of query execution |
2009 |
CIDR |
4.9793485e-05 |