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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
8033
Venue
VLDB
Year
1988
Pagerank
9.6840978e-05
Overall Rank
1,816 | 87.55%
DOI
-

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BibTeX Citation

@article{jhingran_vldb88,
        title = {{A Performance Study of Query Optimization Algorithms on a Database System Supporting Procedures}},
        author = {Jhingran, Anant},
        journal = {PVLDB},
        series = {{VLDB} '88},
        pages = {88},
        year = {1988}
}

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