Data-Agnostic Cardinality Learning from Imperfect Workloads
Summary: GRASP enables data-agnostic cardinality estimation from incomplete, imbalanced workloads without accessing underlying data. Compositional models generalize to unseen joins, handle range-distribution shifts, and capture cross-table correlations, matching data-driven methods with only 10% of templates. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Peizhi Wu (University of Pennsylvania)
- 2. Rong Kang (ByteDance)
- 3. Tieying Zhang (ByteDance)
- 4. Jianjun Chen (ByteDance)
- 5. Ryan Marcus (University of Pennsylvania)
- 6. Zachary G. Ives (University of Pennsylvania)
BibTeX Citation
@article{wu_vldb25,
title = {{Data-Agnostic Cardinality Learning from Imperfect Workloads}},
author = {Wu, Peizhi and Kang, Rong and Zhang, Tieying and Chen, Jianjun and Marcus, Ryan and Ives, Zachary G.},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2519--2532},
doi = {10.14778/3742728.3742745},
url = {https://doi.org/10.14778/3742728.3742745},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,802 | BaCon: Efficient Batch Processing of Counting Queries | 2026 | VLDB | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 35 of 35 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 85 | Learned Cardinalities: Estimating Correlated Joins with Deep Learning | 2019 | CIDR |
| 2 | 2,342 | Learned Cardinality Estimation: An In-depth Study | 2022 | SIGMOD |
| 3 | 6,660 | Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation | 2023 | SIGMOD |
| 4 | 2,846 | FactorJoin: A New Cardinality Estimation Framework for Join Queries | 2023 | SIGMOD |
| 5 | 982 | Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation | 2022 | VLDB |
| 6 | 1,433 | Towards a Learning Optimizer for Shared Clouds | 2019 | VLDB |
| 7 | 1,064 | Are We Ready For Learned Cardinality Estimation? | 2021 | VLDB |
| 8 | 5,649 | Sample-Efficient Cardinality Estimation Using Geometric Deep Learning | 2024 | VLDB |
| 9 | 2,522 | Learned Cardinality Estimation: A Design Space Exploration and A Comparative Evaluation | 2022 | VLDB |
| 10 | 3,327 | Robust Query Driven Cardinality Estimation under Changing Workloads | 2023 | VLDB |