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White-box Compression: Learning and Exploiting Compact Table Representations

Summary: White-box compression encodes logical columns as functions over stored physical columns with per-block headers, enabling DBMS-aware optimizations and execution (e.g., predicate push-down). A recursive pattern-driven learner discovers these functions, yielding large compression gains on the Public BI benchmark. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h4f5cf3ed7e21c6ea
Venue
CIDR
Year
2020
Pagerank
7.5963816e-05
Overall Rank
3,146 | 78.85%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ghita_cidr20,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '20},
        title = {{White-box Compression: Learning and Exploiting Compact Table Representations}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Ghiță, Bogdan and Tomé, Diego and Boncz, Peter},
        year = {2020}
}

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