Towards Functional Decomposition of Storage Formats
Summary: Shows that tying compression blocks to row‑skipping partitions in columnar formats forces a compressibility vs scan-performance tradeoff; proposes splitting into a storage layer + Search Acceleration Layer (SAL). Finds SALs benefit from fine-grained partitions (~10–100 rows), with optimal size varying by metadata, data, and query, enabling independent tuning and improved tradeoffs. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Martin Prammer (Carnegie Mellon University)
- 2. Xinyu Zeng (Tsinghua University)
- 3. Ruijun Meng (Tsinghua University)
- 4. Wes McKinney (Posit Public Benefit Corporation)
- 5. Huanchen Zhang (Tsinghua University)
- 6. Andrew Pavlo (Carnegie Mellon University)
- 7. Jignesh M. Patel (Carnegie Mellon University)
BibTeX Citation
@inproceedings{prammer_cidr25,
address = {Amsterdam, Netherlands},
series = {{CIDR} '25},
title = {{Towards Functional Decomposition of Storage Formats}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Prammer, Martin and Zeng, Xinyu and Meng, Ruijun and McKinney, Wes and Zhang, Huanchen and Pavlo, Andrew and Patel, Jignesh M.},
year = {2025}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,277 | F3: The Open-Source Data File Format for the Future | 2026 | SIGMOD | 5.2937431e-05 |
| 10,057 | AnyBlox: A Framework for Self-Decoding Datasets | 2025 | VLDB | 5.1664022e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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