Saving Private Hash Join
Summary: A robust larger-than-memory hash join for streaming plans, avoiding the external-join performance cliff via adaptive spilling in a unified buffer pool. Runtime compression and dynamic memory allocation limit temporary data and contention; DuckDB experiments show graceful degradation. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Laurens Kuiper (Centrum Wiskunde & Informatica)
- 2. Paul Groß (Centrum Wiskunde & Informatica)
- 3. Peter Boncz (Centrum Wiskunde & Informatica)
- 4. Hannes Mühleisen (Centrum Wiskunde & Informatica)
BibTeX Citation
@article{kuiper_vldb25,
title = {{Saving Private Hash Join}},
author = {Kuiper, Laurens and Groß, Paul and Boncz, Peter and Mühleisen, Hannes},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2748--2760},
doi = {10.14778/3742728.3742762},
url = {https://doi.org/10.14778/3742728.3742762},
year = {2025}
}
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