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Wisconsin Benchmark Data Generator: To JSON and Beyond

Summary: Flexible JSON data generator derived from the Wisconsin Benchmark to produce realistic relations. Adds attribute skewness, variable-length records with varied sizes, and parameterized scalability for closer-to-real-world DBMS benchmarking. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6077
Venue
SIGMOD
Year
2021
Pagerank
5.093636e-05
Overall Rank
11,646 | 20.10%
DOI
10.1145/3448016.3450577

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Authors

BibTeX Citation

@inproceedings{jahangiri_sigmod21,
        title = {{Wisconsin Benchmark Data Generator: To JSON and Beyond}},
        author = {Jahangiri, Shiva},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3450577},
        url = {https://dl.acm.org/doi/10.1145/3448016.3450577},
        year = {2021}
}

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7,800 Design Trade-offs for a Robust Dynamic Hybrid Hash Join 2022 VLDB 5.5420279e-05
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