Optimizing Iceberg Queries with Complex Joins
Summary: Framework combining a-priori grouping, memoization, and pruning to optimize iceberg queries over complex joins. Formal correctness conditions, a practical rewrite algorithm, and a PostgreSQL prototype show speedups over baseline PostgreSQL and a commercial DB. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Brett Walenz (Duke University)
- 2. Sudeepa Roy (Duke University)
- 3. Jun Yang (Duke University)
BibTeX Citation
@inproceedings{walenz_sigmod17,
title = {{Optimizing Iceberg Queries with Complex Joins}},
author = {Walenz, Brett and Roy, Sudeepa and Yang, Jun},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3064053},
url = {https://dl.acm.org/doi/10.1145/3035918.3064053},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,073 | Pushing Data-Induced Predicates Through Joins in Big-Data Clusters | 2020 | VLDB | 7.6777283e-05 |
| 6,147 | Sia: Optimizing Queries using Learned Predicates | 2021 | SIGMOD | 5.8710365e-05 |
| 6,699 | Toward Interpretable and Actionable Data Analysis with Explanations and Causality | 2022 | VLDB | 5.7058728e-05 |
| 8,213 | Scaling a Declarative Cluster Manager Architecture with Query Optimization Techniques | 2023 | VLDB | 5.3770961e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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