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Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions

Summary: Removes framing restrictions on holistic aggregates and window functions, enabling fully composable framed analytics. Offers subquadratic, parallel algorithms to evaluate all SQL:2011 window/aggregate functions with arbitrary frames (except DENSE_RANK), including framed distinct aggregates, percentiles, and ranks. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
6554
Venue
SIGMOD
Year
2022
Pagerank
5.3849617e-05
Overall Rank
8,685 | 40.42%
DOI
10.1145/3514221.3526184

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{vogelsgesang_sigmod22,
        title = {{Efficient Evaluation of Arbitrarily-Framed Holistic SQL Aggregates and Window Functions}},
        author = {Vogelsgesang, Adrian and Neumann, Thomas and Leis, Viktor and Kemper, Alfons},
        series = {{SIGMOD} '22},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3514221.3526184},
        url = {https://dl.acm.org/doi/10.1145/3514221.3526184},
        year = {2022}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,717 T-ReX: Optimizing Pattern Search on Time Series 2023 SIGMOD 5.3774918e-05
11,234 Window Function Expression: Let the Self-join Enter 2024 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

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

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