| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 203 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034868567 |
| 634 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
0.00018844568 |
| 659 |
The Making of TPC-DS |
2006 |
VLDB |
0.00018514913 |
| 680 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00018193263 |
| 1,064 |
Analyzing Plan Diagrams of Database Query Optimizers |
2005 |
VLDB |
0.00014348262 |
| 1,234 |
Least Expected Cost Query Optimization: An Exercise in Utility |
1999 |
PODS |
0.00013115865 |
| 1,268 |
Proactive Re-Optimization |
2005 |
SIGMOD |
0.00012914584 |
| 1,638 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00011050093 |
| 1,644 |
Parametric Query Optimization for Linear and Piecewise Linear Cost Functions |
2002 |
VLDB |
0.0001102889 |
| 1,699 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00010848882 |
| 1,961 |
Plan Selection based on Query Clustering |
2002 |
VLDB |
9.9464221e-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 |
| 2,840 |
Applying the Golden Rule of Sampling for Query Estimation |
2001 |
SIGMOD |
8.0417349e-05 |
| 2,937 |
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems |
2021 |
VLDB |
7.8552033e-05 |
| 3,943 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
6.6067351e-05 |
| 4,342 |
Identifying Robust Plans through Plan Diagram Reduction |
2008 |
VLDB |
6.2680535e-05 |
| 4,480 |
Variance Aware Optimization of Parameterized Queries |
2010 |
SIGMOD |
6.1433292e-05 |
| 5,344 |
Efficiently Approximating Query Optimizer Plan Diagrams |
2008 |
VLDB |
5.5579641e-05 |
| 5,412 |
Kepler: Robust Learning for Faster Parametric Query Optimization |
2023 |
SIGMOD |
5.5200608e-05 |
| 5,476 |
On the Production of Anorexic Plan Diagrams |
2007 |
VLDB |
5.4866057e-05 |
| 5,639 |
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server |
2023 |
VLDB |
5.3972261e-05 |
| 5,790 |
MOCHA: A Tool for Visualizing Impact of Operator Choices in Query Execution Plans for Database Education |
2022 |
VLDB |
5.3247208e-05 |
| 6,471 |
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees |
2017 |
SIGMOD |
5.0438582e-05 |
| 6,541 |
On the Complexity of Generating Optimal Plans with Cross Products (extended abstract) |
1997 |
PODS |
5.0160682e-05 |
| 6,561 |
On the Stability of Plan Costs and the Costs of Plan Stability |
2010 |
VLDB |
5.0055336e-05 |
| 6,616 |
QUEST: An Exploratory Approach to Robust Query Processing |
2014 |
VLDB |
4.9881716e-05 |
| 6,639 |
Leveraging Query Logs and Machine Learning for Parametric Query Optimization |
2022 |
VLDB |
4.976781e-05 |
| 6,763 |
Robustness Metrics for Relational Query Execution Plans |
2018 |
VLDB |
4.9291549e-05 |
| 7,442 |
Selectivity Functions of Range Queries are Learnable* |
2022 |
SIGMOD |
4.7248554e-05 |
| 7,854 |
dbET: Execution Time Distribution-based Plan Selection |
2023 |
SIGMOD |
4.6306186e-05 |
| 8,130 |
Robust Query Processing: Mission Possible |
2020 |
VLDB |
4.5746794e-05 |
| 8,193 |
On the Calculation of Optimality Ranges for Relational Query Execution Plans |
2018 |
SIGMOD |
4.5575291e-05 |
| 8,638 |
A Concave Path to Low-overhead Robust Query Processing |
2018 |
VLDB |
4.4750742e-05 |
| 9,387 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
4.341968e-05 |