Technical Perspective: Diva: Dynamic Range Filter for Var-Length Keys and Queries

To accelerate data access, database systems have long relied on probabilistic filters, most notably Bloom filters, to avoid unnecessary I/O. These compact structures are highly effective for point queries: they answer ''is key x present?'' with one-sided error, i.e., with false positives but not false negatives.

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Publication Details

Journal
ACM SIGMOD Record
Published
2026-04-23
DOI
https://doi.org/10.1145/3810900.3810909
Primary Topic
Caching and Content Delivery
Type
article
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article

Technical Perspective: Diva: Dynamic Range Filter for Var-Length Keys and Queries

Viktor Leis
ACM SIGMOD Record
Caching and Content Delivery
article

Technical Perspective: Diva: Dynamic Range Filter for Var-Length Keys and Queries

Viktor Leis
article en

Abstract

To accelerate data access, database systems have long relied on probabilistic filters, most notably Bloom filters, to avoid unnecessary I/O. These compact structures are highly effective for point queries: they answer ''is key x present?'' with one-sided error, i.e., with false positives but not false negatives.

ACM SIGMOD RecordVol. 55(1)
Technical University of Munich (DE)
Openalex Percentile: Top 5%
Caching and Content Delivery
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Technical Perspective: Diva: Dynamic Range Filter for Var-Length Keys and Queries — Viktor Leis · ACM SIGMOD Record (2026) | TGRS Research Map | TGRS