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Fingerprints for Compressed Columnar Data Search

Summary: Fingerprints for compressed columnar data search via block-level column summaries. Block headers reduce false positives (up to 30%) for compressed scans vs MinMax, lowering overhead of advanced compression in in-memory workloads (TPC-H). (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5687
Venue
SIGMOD
Year
2019
Pagerank
5.2185987e-05
Overall Rank
9,795 | 32.80%
DOI
10.1145/3299869.3300094

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{kwan_sigmod19,
        title = {{Fingerprints for Compressed Columnar Data Search}},
        author = {Kwan, Carmen},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300094},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300094},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
8,056 Sieve: A Learned Data-Skipping Index for Data Analytics 2023 VLDB 5.4983582e-05
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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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