Towards Efficient Random-Order Enumeration for Join Queries
Summary: Presents the first efficient worst-case-guaranteed uniform random-order enumeration algorithm for cyclic joins, with expected delay O(AGM(Q)/|Res(Q)|·log²|Q|). It needs only lightweight indexing, is near-optimal under the k-clique hypothesis, and outperforms prior methods experimentally. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Pengyu Chen (Harbin Engineering University)
- 2. Zizheng Guo (Harbin Engineering University; Zhengzhou Advanced Research Institute)
- 3. Jianwei Yang (Harbin Engineering University)
- 4. Dongjing Miao (Harbin Engineering University)
BibTeX Citation
@article{chen_vldb26,
title = {{Towards Efficient Random-Order Enumeration for Join Queries}},
author = {Chen, Pengyu and Guo, Zizheng and Yang, Jianwei and Miao, Dongjing},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {5},
pages = {889--901},
doi = {10.14778/3796195.3796203},
url = {https://doi.org/10.14778/3796195.3796203},
year = {2026}
}
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