Exact Cardinality Query Optimization for Optimizer Testing
Summary: Exact cardinality optimization techniques to generate the best execution plan for optimizer testing when exact cardinalities are known. Implemented in Microsoft SQL Server; results on TPC-H demonstrate viability for a larger set of queries than prior methods. (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 8 of 8 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 71 | How Good Are Query Optimizers, Really? | 2016 | VLDB | 0.00059446482 |
| 1,638 | Cardinality Estimation in DBMS: A Comprehensive Benchmark Evaluation | 2022 | VLDB | 0.00011050093 |
| 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 |
| 5,639 | Analyzing the Impact of Cardinality Estimation on Execution Plans in Microsoft SQL Server | 2023 | VLDB | 5.3972261e-05 |
| 5,696 | Exact Cardinality Query Optimization with Bounded Execution Cost | 2019 | SIGMOD | 5.367449e-05 |
| 7,887 | SQLStorm: Taking Database Benchmarking into the LLM Era | 2025 | VLDB | 4.6218382e-05 |
| 8,440 | PARQO: Penalty-Aware Robust Plan Selection in Query Optimization | 2024 | VLDB | 4.505741e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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