Estimating Cardinalities with Deep Sketches
Summary: Deep Sketches are compact learned models for estimating SQL cardinalities that capture cross-column and cross-table correlations. Demonstrations on TPC-H and IMDb cover training, ad-hoc queries, and comparison to estimators on HyPer and PostgreSQL. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Andreas Kipf (Technical University of Munich)
- 2. Dimitri Vorona (Technical University of Munich)
- 3. Jonas Müller (Technical University of Munich)
- 4. Thomas Kipf (University of Amsterdam)
- 5. Bernhard Radke (Technical University of Munich)
- 6. Viktor Leis (Technical University of Munich)
- 7. Peter Boncz (Centrum Wiskunde & Informatica)
- 8. Thomas Neumann (Technical University of Munich)
- 9. Alfons Kemper (Technical University of Munich)
BibTeX Citation
@inproceedings{kipf_sigmod19,
title = {{Estimating Cardinalities with Deep Sketches}},
author = {Kipf, Andreas and Vorona, Dimitri and Müller, Jonas and Kipf, Thomas and Radke, Bernhard and Leis, Viktor and Boncz, Peter and Neumann, Thomas and Kemper, Alfons},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320218},
url = {https://dl.acm.org/doi/10.1145/3299869.3320218},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 17 of 17 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 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 |
| 43 | The Case for Learned Index Structures | 2018 | SIGMOD | 0.00046060254 |
| 84 | Learned Cardinalities: Estimating Correlated Joins with Deep Learning | 2019 | CIDR | 0.00035838391 |
| 388 | Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors | 2009 | VLDB | 0.00019410042 |
| 563 | Plan-Structured Deep Neural Network Models for Query Performance Prediction | 2019 | VLDB | 0.0001650812 |
| 568 | SageDB: A Learned Database System | 2019 | CIDR | 0.0001641553 |
| 1,468 | Towards a Learning Optimizer for Shared Clouds | 2019 | VLDB | 0.00010686496 |
| 1,815 | SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning | 2018 | VLDB | 9.6894541e-05 |
| 2,213 | Designing Succinct Secondary Indexing Mechanism by Exploiting Column Correlations | 2019 | SIGMOD | 8.9410226e-05 |
| 3,051 | Towards a Hands-Free Query Optimizer through Deep Learning | 2019 | CIDR | 7.8121919e-05 |
| 4,053 | Database-Agnostic Workload Management | 2019 | CIDR | 6.9355341e-05 |
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