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REGAL+: Reverse Engineering SPJA Queries

Summary: REGAL+ extends reverse engineering to SPJA queries over arbitrary schemas, enabling reconstruction of the originating SQL from a data report. Without prior schema knowledge or SQL expertise, users upload a spreadsheet and REGAL+ outputs candidate SPJA queries that reproduce the report, highlighting broad applicability. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11878
Venue
VLDB
Year
2018
Pagerank
7.4094584e-05
Overall Rank
3,444 | 76.38%
DOI
10.14778/3229863.3236240

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tan_vldb18,
        title = {{REGAL+: Reverse Engineering SPJA Queries}},
        author = {Tan, Wei Chit and Zhang, Meihui and Elmeleegy, Hazem and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '18},
        volume = {11},
        number = {12},
        pages = {1982--1985},
        doi = {10.14778/3229863.3236240},
        url = {https://doi.org/10.14778/3229863.3236240},
        year = {2018}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

Rank Cited Paper Year Venue Pagerank
37 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00048017193
517 Query by Output 2009 SIGMOD 0.00017169735
1,262 Discovering Queries based on Example Tuples 2014 SIGMOD 0.00011427456
1,313 Reverse Engineering Complex Join Queries 2013 SIGMOD 0.00011186284
1,555 Keyword Search in Databases: The Power of RDBMS 2009 SIGMOD 0.00010370683
2,631 FastQRE: Fast Query Reverse Engineering 2018 SIGMOD 8.3231158e-05
3,300 Reverse Engineering Aggregation Queries 2017 VLDB 7.5412976e-05
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