Robustness Metrics for Relational Query Execution Plans
Summary: Introduces three robustness metrics for relational query plans under cardinality estimation errors and a plan selector that jointly optimizes cost and robustness. Experiments on real and synthetic benchmarks show up to 3.49× speedup versus conventional planning. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Florian Wolf
- 2. Michael Brendle
- 3. Norman May
- 4. Paul R. Willems
- 5. Kai-Uwe Sattler
- 6. Michael Grossniklaus
Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,040 | Steering Query Optimizers: A Practical Take on Big Data Workloads | 2021 | SIGMOD | 5.2412035e-05 |
| 7,126 | Debunking the Myth of Join Ordering: Toward Robust SQL Analytics | 2025 | SIGMOD | 4.8232367e-05 |
| 8,127 | Robust Query Processing: Mission Possible | 2020 | VLDB | 4.579056e-05 |
| 8,448 | PARQO: Penalty-Aware Robust Plan Selection in Query Optimization | 2024 | VLDB | 4.5100508e-05 |
| 9,464 | Memory Efficient Scheduling of Query Pipeline Execution | 2022 | CIDR | 4.3355852e-05 |
| 9,662 | Efficient Query Re-optimization with Judicious Subquery Selections | 2023 | SIGMOD | 4.3097631e-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 |
| 10,942 | Sub-optimal Join Order Identification with L1-error | 2024 | SIGMOD | 4.1945683e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next