Exact Cardinality Query Optimization with Bounded Execution Cost
Summary: ECQO with bounded probes uses exact cardinalities from probes to prune join plans via partial-relations bounds. Leverages dependencies and info-gain probe selection with cost bounds; non-intrusive atop SQL LIMIT, achieving 6×–69× speedups on join-order benchmarks. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Immanuel Trummer (Cornell University)
BibTeX Citation
@inproceedings{trummer_sigmod19,
title = {{Exact Cardinality Query Optimization with Bounded Execution Cost}},
author = {Trummer, Immanuel},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300087},
url = {https://dl.acm.org/doi/10.1145/3299869.3300087},
year = {2019}
}
Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 982 | Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation | 2022 | VLDB | 0.00012714044 |
| 1,156 | QuickSel: Quick Selectivity Learning with Mixture Models | 2020 | SIGMOD | 0.00011777105 |
| 3,645 | UDO: Universal Database Optimization using Reinforcement Learning | 2021 | VLDB | 7.1397796e-05 |
| 4,202 | Kepler: Robust Learning for Faster Parametric Query Optimization | 2023 | SIGMOD | 6.7374091e-05 |
| 5,022 | Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server | 2023 | VLDB | 6.3100988e-05 |
| 5,126 | Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach | 2020 | SIGMOD | 6.261175e-05 |
| 6,416 | A Unified Transferable Model for ML-Enhanced DBMS | 2022 | CIDR | 5.7920805e-05 |
| 6,791 | dbET: Execution Time Distribution-based Plan Selection | 2023 | SIGMOD | 5.6811782e-05 |
| 8,131 | Thrifty Query Execution via Incrementability | 2020 | SIGMOD | 5.3936608e-05 |
| 8,202 | Grep: A Graph Learning Based Database Partitioning System | 2023 | SIGMOD | 5.378708e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 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 | 5,219 | SafeBound: A Practical System for Generating Cardinality Bounds | 2023 | SIGMOD |
| 2 | 1,257 | Sampling-Based Query Re-Optimization | 2016 | SIGMOD |
| 3 | 3,214 | Efficient and Provable Multi-Query Optimization | 2017 | PODS |
| 4 | 10,182 | Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints | 2025 | PODS |
| 5 | 10,368 | Coresets for Robust Query Optimization | 2026 | PODS |
| 6 | 569 | Towards a Robust Query Optimizer: A Principled and Practical Approach | 2005 | SIGMOD |
| 7 | 386 | Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors | 2009 | VLDB |
| 8 | 15 | How Good Are Query Optimizers, Really? | 2016 | VLDB |
| 9 | 3,367 | Exact Cardinality Query Optimization for Optimizer Testing | 2009 | VLDB |
| 10 | 7,597 | On the Calculation of Optimality Ranges for Relational Query Execution Plans | 2018 | SIGMOD |