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Prefix Filter: Practically and Theoretically Better Than Bloom

Summary: Introduces Prefix Filter, an incremental AMQ structure combining dynamic-filter space efficiency with Bloom-like simplicity and consistently fast queries/inserts. Rigorous practical-size analysis covers failure, false positives, and cache-line accesses; builds 1.39–3.5× faster than competitors. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12828
Venue
VLDB
Year
2022
Pagerank
5.8473945e-05
Overall Rank
6,539 | 55.14%
DOI
10.14778/3523210.3523211

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{even_vldb22,
        title = {{Prefix Filter: Practically and Theoretically Better Than Bloom}},
        author = {Even, Tomer and Even, Guy and Morrison, Adam},
        journal = {PVLDB},
        series = {{VLDB} '22},
        volume = {15},
        number = {7},
        pages = {1311--1323},
        doi = {10.14778/3523210.3523211},
        url = {https://doi.org/10.14778/3523210.3523211},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
4,664 GRF: A Global Range Filter for LSM-Trees with Shape Encoding 2024 SIGMOD 6.5787544e-05
4,960 InfiniFilter: Expanding Filters to Infinity and Beyond 2023 SIGMOD 6.4280133e-05
7,776 Aleph Filter: To Infinity in Constant Time 2024 VLDB 5.5464036e-05
9,457 Rethinking The Compaction Policies in LSM-trees 2025 SIGMOD 5.2642945e-05
10,434 Breadcrumb Filters: Fast Fully Featured Filters 2026 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 10 of 10 cited papers.

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

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