| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059038975 |
| 204 |
Learned Cardinalities: Estimating Correlated Joins with Deep Learning |
2019 |
CIDR |
0.00034784455 |
| 640 |
Bao: Making Learned Query Optimization Practical |
2021 |
SIGMOD |
0.00018759152 |
| 659 |
The Making of TPC-DS |
2006 |
VLDB |
0.00018500853 |
| 684 |
Towards a Robust Query Optimizer: A Principled and Practical Approach |
2005 |
SIGMOD |
0.00018179769 |
| 1,070 |
Analyzing Plan Diagrams of Database Query Optimizers |
2005 |
VLDB |
0.00014316791 |
| 1,236 |
Least Expected Cost Query Optimization: An Exercise in Utility |
1999 |
PODS |
0.00013117798 |
| 1,272 |
Proactive Re-Optimization |
2005 |
SIGMOD |
0.00012920076 |
| 1,638 |
Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation |
2022 |
VLDB |
0.00011049779 |
| 1,647 |
Parametric Query Optimization for Linear and Piecewise Linear Cost Functions |
2002 |
VLDB |
0.00011033757 |
| 1,703 |
Are We Ready For Learned Cardinality Estimation? |
2021 |
VLDB |
0.00010836769 |
| 1,962 |
Plan Selection based on Query Clustering |
2002 |
VLDB |
9.950467e-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 |
| 2,835 |
Applying the Golden Rule of Sampling for Query Estimation |
2001 |
SIGMOD |
8.0448428e-05 |
| 2,985 |
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems |
2021 |
VLDB |
7.7795847e-05 |
| 3,952 |
Exact Cardinality Query Optimization for Optimizer Testing |
2009 |
VLDB |
6.5939652e-05 |
| 4,348 |
Identifying Robust Plans through Plan Diagram Reduction |
2008 |
VLDB |
6.2660237e-05 |
| 4,482 |
Variance Aware Optimization of Parameterized Queries |
2010 |
SIGMOD |
6.1482936e-05 |
| 5,340 |
Efficiently Approximating Query Optimizer Plan Diagrams |
2008 |
VLDB |
5.5623066e-05 |
| 5,423 |
Kepler: Robust Learning for Faster Parametric Query Optimization |
2023 |
SIGMOD |
5.5130233e-05 |
| 5,466 |
On the Production of Anorexic Plan Diagrams |
2007 |
VLDB |
5.4909203e-05 |
| 5,633 |
Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server |
2023 |
VLDB |
5.4011156e-05 |
| 5,780 |
MOCHA: A Tool for Visualizing Impact of Operator Choices in Query Execution Plans for Database Education |
2022 |
VLDB |
5.3298375e-05 |
| 6,479 |
Leveraging Re-costing for Online Optimization of Parameterized Queries with Guarantees |
2017 |
SIGMOD |
5.0483805e-05 |
| 6,543 |
On the Complexity of Generating Optimal Plans with Cross Products (extended abstract) |
1997 |
PODS |
5.0208799e-05 |
| 6,561 |
On the Stability of Plan Costs and the Costs of Plan Stability |
2010 |
VLDB |
5.0099895e-05 |
| 6,618 |
QUEST: An Exploratory Approach to Robust Query Processing |
2014 |
VLDB |
4.9925655e-05 |
| 6,667 |
Leveraging Query Logs and Machine Learning for Parametric Query Optimization |
2022 |
VLDB |
4.9688874e-05 |
| 6,763 |
Robustness Metrics for Relational Query Execution Plans |
2018 |
VLDB |
4.9338479e-05 |
| 7,457 |
Selectivity Functions of Range Queries are Learnable* |
2022 |
SIGMOD |
4.7247191e-05 |
| 7,854 |
dbET: Execution Time Distribution-based Plan Selection |
2023 |
SIGMOD |
4.6350172e-05 |
| 8,127 |
Robust Query Processing: Mission Possible |
2020 |
VLDB |
4.579056e-05 |
| 8,213 |
On the Calculation of Optimality Ranges for Relational Query Execution Plans |
2018 |
SIGMOD |
4.557937e-05 |
| 8,639 |
A Concave Path to Low-overhead Robust Query Processing |
2018 |
VLDB |
4.4793681e-05 |
| 9,380 |
Small Selectivities Matter: Lifting the Burden of Empty Samples |
2021 |
SIGMOD |
4.3461329e-05 |