Eager Aggregation and Lazy Aggregation
Summary: Eager aggregation partially pushes a group-by below a join to shrink join input, while preserving the original group-by above. Lazy aggregation pulls a group-by above a join and merges group-bys for grouped-view reuse; experiments on TPC-D show gains. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Weipeng P. Yan (University of Waterloo)
- 2. Per-Ake Larson (University of Waterloo)
BibTeX Citation
@article{yan_vldb95,
title = {{Eager Aggregation and Lazy Aggregation}},
author = {Yan, Weipeng P. and Larson, Per-Ake},
journal = {PVLDB},
series = {{VLDB} '95},
pages = {345},
year = {1995}
}Incoming Citations (Sorted by Pagerank)
Showing 50 of 54 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 73 | Including Group-By in Query Optimization | 1994 | VLDB | 0.0003750677 |
| 109 | Extensible/Rule Based Query Rewrite Optimization in Starburst | 1992 | SIGMOD | 0.00032757423 |
| 196 | Grammar-like Functional Rules for Representing Query Optimization Alternatives | 1988 | SIGMOD | 0.00025616489 |
| 202 | Aggregate-Query Processing in Data Warehousing Environments | 1995 | VLDB | 0.0002523837 |
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