Hint-QPT: Hints for Robust Query Performance Tuning
Summary: Interactive tool for selectivity-uncertain query tuning: recommends plans robust to estimation errors and pinpoints sensitive subqueries. Visualizes plan-cost robustness and supports targeted statistics acquisition or selectivity adjustment, making tuning explainable. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Haibo Xiu (Duke University)
- 2. Yang Li (Duke University)
- 3. Qianyu Yang (Duke University)
- 4. Weihang Guo (Duke University)
- 5. Yuxi Liu (Duke University)
- 6. Pankaj K. Agarwal (Duke University)
- 7. Sudeepa Roy (Duke University)
- 8. Jun Yang (Duke University)
BibTeX Citation
@article{xiu_vldb25,
title = {{Hint-QPT: Hints for Robust Query Performance Tuning}},
author = {Xiu, Haibo and Li, Yang and Yang, Qianyu and Guo, Weihang and Liu, Yuxi and Agarwal, Pankaj K. and Roy, Sudeepa and Yang, Jun},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5327--5335},
doi = {10.14778/3750601.3750663},
url = {https://doi.org/10.14778/3750601.3750663},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,151 | Coresets for Robust Query Optimization | 2026 | PODS | 5.093636e-05 |
| 10,986 | PAR2QO: Parametric Penalty-Aware Robust Query Optimization | 2025 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 18 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059284255 |
| 984 | Analyzing Plan Diagrams of Database Query Optimizers | 2005 | VLDB | 0.00012825643 |
| 5,881 | MOCHA: A Tool for Visualizing Impact of Operator Choices in Query Execution Plans for Database Education | 2022 | VLDB | 6.0529753e-05 |
| 8,305 | PARQO: Penalty-Aware Robust Plan Selection in Query Optimization | 2024 | VLDB | 5.4568571e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,019 | Robustness Metrics for Relational Query Execution Plans | 2018 | VLDB |
| 2 | 3,162 | Efficiently Approximating Selectivity Functions using Low Overhead Regression Models | 2020 | VLDB |
| 3 | 984 | Analyzing Plan Diagrams of Database Query Optimizers | 2005 | VLDB |
| 4 | 10,881 | Robust Plan Evaluation based on Approximate Probabilistic Machine Learning | 2025 | VLDB |
| 5 | 566 | Towards a Robust Query Optimizer: A Principled and Practical Approach | 2005 | SIGMOD |
| 6 | 5,537 | Uncertainty Aware Query Execution Time Prediction | 2014 | VLDB |
| 7 | 3,506 | Identifying Robust Plans through Plan Diagram Reduction | 2008 | VLDB |
| 8 | 8,834 | Qr-Hint: Actionable Hints Towards Correcting Wrong SQL Queries | 2024 | SIGMOD |
| 9 | 2,762 | Cost-based or Learning-based? A Hybrid Query Optimizer for Query Plan Selection | 2022 | VLDB |
| 10 | 7,448 | Interactive Plan Hints for Query Optimization | 2009 | SIGMOD |