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A Performance Study of Query Optimization Algorithms on a Database System Supporting Procedures

Summary: Compares five optimization techniques for procedural-field queries in POSTGRES/POSTQUEL: on-demand execution, pre-optimizing procedural subqueries, caching schemes (tuples vs. separate), and flattening. Results: caching helps with infrequent updates; separate caching generally outperforms tuple caching; flattening is best when procedural composition is predictable. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
7842
Venue
VLDB
Year
1988
Pagerank
0.00012105525
Overall Rank
1,416 | 90.16%
DOI
-

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