An Empirical Evaluation of Columnar Storage Formats
Summary: A deep empirical comparison of Parquet and ORC under modern hardware, data distributions, and workloads. It derives format-level guidance—default dictionaries, decode-oriented integer codecs, optional compression, finer-grained indexes—and exposes ML/GPU decoding bottlenecks. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xinyu Zeng (Tsinghua University)
- 2. Yulong Hui (Tsinghua University)
- 3. Jiahong Shen (Tsinghua University)
- 4. Andrew Pavlo (Carnegie Mellon University)
- 5. Wes McKinney (Voltron Data)
- 6. Huanchen Zhang (Shanghai Qi Zhi Institute; Tsinghua University)
BibTeX Citation
@article{zeng_vldb24,
title = {{An Empirical Evaluation of Columnar Storage Formats}},
author = {Zeng, Xinyu and Hui, Yulong and Shen, Jiahong and Pavlo, Andrew and McKinney, Wes and Zhang, Huanchen},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {2},
pages = {148--161},
doi = {10.14778/3626292.3626298},
url = {https://doi.org/10.14778/3626292.3626298},
year = {2024}
}
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