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Reservoir Sampling over Joins

Summary: Streaming uniform samples of join outputs, maintained without materializing the join. Novel generalized reservoir sampling with predicates plus a dynamic index, yielding near-linear maintenance despite polynomial join blowup; strong graph/relational empirical gains. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
6946
Venue
SIGMOD
Year
2024
Pagerank
5.64193e-05
Overall Rank
7,335 | 49.68%
DOI
10.1145/3654921

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{dai_sigmod24,
        title = {{Reservoir Sampling over Joins}},
        author = {Dai, Binyang and Hu, Xiao and Yi, Ke},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3654921},
        url = {https://dl.acm.org/doi/10.1145/3654921},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
9,512 Poisson Sampling over Acyclic Joins 2026 SIGMOD 5.2571354e-05
9,719 Subset Sampling over Joins 2026 PODS 5.2319816e-05
10,244 FIRAS: A Framework for Interval Range Search and Sampling 2026 SIGMOD 5.093636e-05
10,289 Sketch-based Secure Query Processing for Streaming Data 2026 SIGMOD 5.093636e-05
10,542 Secure Multi-Party Sampling over Joins 2026 VLDB 5.093636e-05
11,084 Exploring Exploratory Querying 2025 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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