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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
3210
Venue
SIGMOD
Year
2000
Pagerank
6.9723858e-05
Overall Rank
3,560 | 75.24%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
1,070 Analyzing Plan Diagrams of Database Query Optimizers 2005 VLDB 0.00014316791
2,249 Orca: A Modular Query Optimizer Architecture for Big Data 2014 SIGMOD 9.2034693e-05
4,397 Estimating Compilation Time of a Query Optimizer 2003 SIGMOD 6.2230918e-05
4,644 A genetic approach for random testing of database systems 2007 VLDB 6.0259936e-05
6,337 Parallelizing Extensible Query Optimizers 2009 SIGMOD 5.1053757e-05
6,673 Incorporating Super-Operators in Big-Data Query Optimizers 2020 VLDB 4.966799e-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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