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Including Group-By in Query Optimization

Summary: Push group-by past joins to enable early aggregation and potential cost savings. Introduce a greedy conservative heuristic to modify System-R–style optimizers, yielding equal-or-better plans than traditional ones, with extensions to Select-Distinct via cost-based duplicate elimination. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h4c73193f3e1950b1
Venue
VLDB
Year
1994
Pagerank
0.00037522101
Overall Rank
73 | 99.52%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{chaudhuri_vldb94,
        title = {{Including Group-By in Query Optimization}},
        author = {Chaudhuri, Surajit and Shim, Kyuseok},
        journal = {PVLDB},
        series = {{VLDB} '94},
        year = {1994}
}

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