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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
h3a0d637c8e773533
Venue
SIGMOD
Year
2017
Pagerank
4.9793485e-05
Overall Rank
12,288 | 17.39%
DOI
10.1145/3035918.3058748

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{cao_sigmod17,
        title = {{BEAS: Bounded Evaluation of SQL Queries}},
        author = {Cao, Yang and Fan, Wenfei and Wang, Yanghao and Yuan, Tengfei and Li, Yanchao and Chen, Laura Yu},
        series = {{SIGMOD} '17},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3035918.3058748},
        url = {https://dl.acm.org/doi/10.1145/3035918.3058748},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
7,015 A Hierarchical Contraction Scheme for Querying Big Graphs 2022 SIGMOD 5.6210836e-05
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Outgoing Citations (Sorted by Pagerank)

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
4,452 Bounded Conjunctive Queries 2014 VLDB 6.5938977e-05
5,870 PIQL: A Performance Insightful Query Language 2010 SIGMOD 5.9648445e-05
6,954 Querying Big Data by Accessing Small Data 2015 PODS 5.6350266e-05
7,610 On Scale Independence for Querying Big Data 2014 PODS 5.4844912e-05
9,152 An Effective Syntax for Bounded Relational Queries 2016 SIGMOD 5.2177821e-05
12,324 Bounded Query Rewriting Using Views 2016 PODS 4.9793485e-05
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