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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
6492
Venue
SIGMOD
Year
2022
Pagerank
4.4650384e-05
Overall Rank
8,702 | 39.47%
DOI
10.1145/3514221.3526184

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
8,733 T-ReX: Optimizing Pattern Search on Time Series 2023 SIGMOD 4.4573414e-05
11,023 Window Function Expression: Let the Self-join Enter 2024 VLDB 4.1945683e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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