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Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer

Summary: Counts, exhaustively enumerates, and uniformly samples the complete plan search space of a cost-based optimizer. Applied in SQL Server for validation and testing, these methods expose plan/execution mismatches and sustain unbiased testing when exhaustive search is impractical. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h05e914733160e7d1
Venue
SIGMOD
Year
2000
Pagerank
6.8357679e-05
Overall Rank
4,040 | 72.85%
DOI
10.1145/342009.335451

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{waas_sigmod00,
        title = {{Counting, Enumerating, and Sampling of Execution Plans in a Cost-Based Query Optimizer}},
        author = {Waas, Florian and Galindo-Legaria, César},
        series = {{SIGMOD} '00},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/342009.335451},
        url = {https://dl.acm.org/doi/10.1145/342009.335451},
        year = {2000}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
995 Analyzing Plan Diagrams of Database Query Optimizers 2005 VLDB 0.00012629969
1,277 Orca: A Modular Query Optimizer Architecture for Big Data 2014 SIGMOD 0.00011234276
4,115 A genetic approach for random testing of database systems 2007 VLDB 6.7953368e-05
4,417 Estimating Compilation Time of a Query Optimizer 2003 SIGMOD 6.6064397e-05
6,138 Parallelizing Extensible Query Optimizers 2009 SIGMOD 5.8732713e-05
6,293 Incorporating Super-Operators in Big-Data Query Optimizers 2020 VLDB 5.8195888e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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