HoneyComb: A Parallel Worst-Case Optimal Join on Multicores
Summary: HoneyComb extends WCOJ to shared-memory systems by adapting HyperCube-style domain partitioning for all query variables, reducing skew. It builds CoCo, a sorted index, and a WCOJ rewrite that factors out redundant work for scalable parallel evaluation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Jiacheng Wu (University of Washington)
- 2. Dan Suciu (University of Washington)
BibTeX Citation
@inproceedings{wu_sigmod25,
title = {{HoneyComb: A Parallel Worst-Case Optimal Join on Multicores}},
author = {Wu, Jiacheng and Suciu, Dan},
series = {{SIGMOD} '25},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3725307},
url = {https://dl.acm.org/doi/10.1145/3725307},
year = {2025}
}
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