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SQUARES: A SQL Synthesizer Using Query Reverse Engineering

Summary: SQUARES tackles Query Reverse Engineering: synthesizing SQL from a database and desired output table, enabling nonprogrammer analysts to specify transformations by examples. It also generates equivalent table-manipulation programs in R. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
12334
Venue
VLDB
Year
2020
Pagerank
5.8236702e-05
Overall Rank
6,607 | 54.68%
DOI
10.14778/3415478.3415492

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{orvalho_vldb20,
        title = {{SQUARES: A SQL Synthesizer Using Query Reverse Engineering}},
        author = {Orvalho, Pedro and Terra-Neves, Miguel and Ventura, Miguel and Martins, Ruben and Manquinho, Vasco},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2853--2856},
        doi = {10.14778/3415478.3415492},
        url = {https://doi.org/10.14778/3415478.3415492},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,313 Reverse Engineering Complex Join Queries 2013 SIGMOD 0.00011186284
2,631 FastQRE: Fast Query Reverse Engineering 2018 SIGMOD 8.3231158e-05
3,300 Reverse Engineering Aggregation Queries 2017 VLDB 7.5412976e-05
4,733 Interactive Query Synthesis from Input-Output Examples 2017 SIGMOD 6.5335361e-05
7,552 Trinity: An Extensible Synthesis Framework for Data Science 2019 VLDB 5.6005243e-05
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