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DunceCap: Query Plans Using Generalized Hypertree Decompositions

Summary: Query plans are cast as generalized hypertree decompositions and scored by minimal fractional hypertree width to bound worst-case join runtimes. Benchmarked on Stanford Large Network Dataset Collection, DunceCap rivals LogicBlox on cyclic queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5156
Venue
SIGMOD
Year
2015
Pagerank
7.0808098e-05
Overall Rank
3,841 | 73.65%
DOI
10.1145/2723372.2764946

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tu_sigmod15,
        title = {{DunceCap: Query Plans Using Generalized Hypertree Decompositions}},
        author = {Tu, Susan and Ré, Christopher},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2764946},
        url = {https://dl.acm.org/doi/10.1145/2723372.2764946},
        year = {2015}
}

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

Rank Cited Paper Year Venue Pagerank
411 Worst-case Optimal Join Algorithms 2012 PODS 0.00018902089
673 Generalized Hypertree Decompositions: NP-Hardness and Tractable Variants 2007 PODS 0.00015095061
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