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
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Incoming Citations (Sorted by Pagerank)
Showing 10 of 10 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,638 | Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation | 2022 | VLDB | 0.00011050093 |
| 1,727 | QuickSel: Quick Selectivity Learning with Mixture Models | 2020 | SIGMOD | 0.00010731889 |
| 4,730 | UDO: Universal Database Optimization using Reinforcement Learning | 2021 | VLDB | 5.9604983e-05 |
| 5,412 | Kepler: Robust Learning for Faster Parametric Query Optimization | 2023 | SIGMOD | 5.5200608e-05 |
| 5,630 | Monotonic Cardinality Estimation of Similarity Selection: A Deep Learning Approach | 2020 | SIGMOD | 5.4010111e-05 |
| 5,639 | Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server | 2023 | VLDB | 5.3972261e-05 |
| 6,774 | A Unified Transferable Model for ML-Enhanced DBMS | 2022 | CIDR | 4.9253635e-05 |
| 7,854 | dbET: Execution Time Distribution-based Plan Selection | 2023 | SIGMOD | 4.6306186e-05 |
| 8,049 | Thrifty Query Execution via Incrementability | 2020 | SIGMOD | 4.5939412e-05 |
| 8,095 | Grep: A Graph Learning Based Database Partitioning System | 2023 | SIGMOD | 4.5837691e-05 |
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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.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 979 | Rapid Bushy Join-order Optimization with Cartesian Products | 1996 | SIGMOD | 0.00014871114 |
| 5,978 | SafeBound: A Practical System for Generating Cardinality Bounds | 2023 | SIGMOD | 5.2424396e-05 |
| 1,756 | Sampling-Based Query Re-Optimization | 2016 | SIGMOD | 0.00010659753 |
| 3,505 | Efficient and Provable Multi-Query Optimization | 2017 | PODS | 7.0304901e-05 |
| 9,843 | Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints | 2025 | PODS | 4.2680295e-05 |
| 680 | Towards a Robust Query Optimizer: A Principled and Practical Approach | 2005 | SIGMOD | 0.00018193263 |
| 627 | Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors | 2009 | VLDB | 0.00018959896 |
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059446482 |
| 8,193 | On the Calculation of Optimality Ranges for Relational Query Execution Plans | 2018 | SIGMOD | 4.5575291e-05 |
| 3,943 | Exact Cardinality Query Optimization for Optimizer Testing | 2009 | VLDB | 6.6067351e-05 |