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BEAS: Bounded Evaluation of SQL Queries

Summary: BEAS enables bounded SQL evaluation under an access schema A (cardinality constraints + indices) to compute Q(D) from a fixed DQ with Q(DQ)=Q(D). It derives DQ from A’s constraints and fetches it through indices, demonstrated on telecom CDR analytics vs. commercial DBs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5381
Venue
SIGMOD
Year
2017
Pagerank
4.1945683e-05
Overall Rank
11,785 | 18.02%
DOI
10.1145/3035918.3058748

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Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
6,730 A Hierarchical Contraction Scheme for Querying Big Graphs 2022 SIGMOD 4.9479867e-05
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Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
4,116 PIQL: A Performance Insightful Query Language 2010 SIGMOD 6.4381114e-05
4,546 Bounded Conjunctive Queries 2014 VLDB 6.0987778e-05
7,085 Querying Big Data by Accessing Small Data 2015 PODS 4.8388174e-05
7,413 On Scale Independence for Querying Big Data 2014 PODS 4.7358047e-05
8,961 An Effective Syntax for Bounded Relational Queries 2016 SIGMOD 4.4206115e-05
11,826 Bounded Query Rewriting Using Views 2016 PODS 4.1945683e-05
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