Is Perfect Hashing Practical for OLAP Systems?
Summary: Empirical guide to using perfect hash functions (PHFs) in OLAP: surveys applications/implementations and measures their impact on real queries. Shows PHFs give end-to-end 1.7× join and 3.1× aggregate speedups but expose build-time vs probe-throughput trade-offs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kevin P. Gaffney (University of Wisconsin)
- 2. Jignesh M. Patel (Carnegie Mellon University)
BibTeX Citation
@inproceedings{gaffney_cidr24,
address = {Amsterdam, Netherlands},
series = {{CIDR} '24},
title = {{Is Perfect Hashing Practical for OLAP Systems?}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Gaffney, Kevin P. and Patel, Jignesh M.},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,007 | Experimental Evaluation of Optimizing Memory Consumption in SAP HANA Using PEOopt | 2025 | SIGMOD | 5.3338237e-05 |
| 9,467 | Sphinx: A Succinct Perfect Hash Index for x86 | 2025 | VLDB | 5.2634238e-05 |
| 10,482 | Predictive Translation: High-Performance Buffer Management Without the Trade-Offs | 2026 | SIGMOD | 5.093636e-05 |
| 10,593 | Global Hash Tables Strike Back! An Analysis of Parallel GROUP BY Aggregation | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 10 | 1,278 | A Seven-Dimensional Analysis of Hashing Methods and its Implications on Query Processing | 2016 | VLDB |