Partition, Don’t Sort! Compression Boosters for Cloud Data Ingestion Pipelines
Summary: Rather than expensive global sorting, cluster similarly structured nested Dremel-encoded records at ingestion to create compressible partitions. A decision-tree–inspired clustering is up to 17.44× faster than partition-then-sort and yields up to 2× compression, while per-bucket sorting matches increasing-cardinality compression at lower ingestion cost. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Patrick Hansert (Rheinland-Palatinate Technical University Kaiserslautern-Landau)
- 2. Sebastian Michel (Rheinland-Palatinate Technical University Kaiserslautern-Landau)
BibTeX Citation
@article{hansert_vldb24,
title = {{Partition, Don’t Sort! Compression Boosters for Cloud Data Ingestion Pipelines}},
author = {Hansert, Patrick and Michel, Sebastian},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {11},
pages = {3456--3469},
doi = {10.14778/3681954.3682013},
url = {https://doi.org/10.14778/3681954.3682013},
year = {2024}
}
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