Optimization of Large Join Queries
Summary: Large-SPJ optimization modeled as join-order search (NP-hard). Applies iterative improvement and SA; uses factorial experiments and ANOVA to set parameters; finds iterative improvement generally best, though SA remains competitive at longer runtimes. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Arun Swami (Stanford University)
- 2. Anoop Gupta (Stanford University)
BibTeX Citation
@inproceedings{swami_sigmod88,
title = {{Optimization of Large Join Queries}},
author = {Swami, Arun and Gupta, Anoop},
series = {{SIGMOD} '88},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/50202.50203},
url = {https://dl.acm.org/doi/10.1145/50202.50203},
year = {1988}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1 | Access Path Selection in a Relational Database Management System | 1979 | SIGMOD | 0.0024089429 |
| 7 | Implementation Techniques For Main Memory Database Systems | 1984 | SIGMOD | 0.00083340894 |
| 143 | Optimization of Nonrecursive Queries | 1986 | VLDB | 0.0002959213 |
| 839 | Query Optimization by Simulated Annealing | 1987 | SIGMOD | 0.00013692785 |
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