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Reverse Engineering Aggregation Queries

Summary: REGAL: a 3-phase approach to reverse engineering OLAP queries lattice-guided group-by discovery, aggregation-constraint pruning, and multi-dim filter synthesis to reproduce the output. Validated on TPC-H, showing practical recovery of the original SQL. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h19cb49ed12000ea5
Venue
VLDB
Year
2017
Pagerank
7.391292e-05
Overall Rank
3,349 | 77.49%
DOI
10.14778/3137628.3137633

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{tan_vldb17,
        title = {{Reverse Engineering Aggregation Queries}},
        author = {Tan, Wei Chit and Zhang, Meihui and Elmeleegy, Hazem and Srivastava, Divesh},
        journal = {PVLDB},
        series = {{VLDB} '17},
        volume = {10},
        number = {11},
        pages = {1394--1407},
        doi = {10.14778/3137628.3137633},
        url = {https://doi.org/10.14778/3137628.3137633},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

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

Rank Cited Paper Year Venue Pagerank
38 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00047394041
518 Query by Output 2009 SIGMOD 0.00016944862
1,211 Query From Examples: An Iterative, Data-Driven Approach to Query Construction 2015 VLDB 0.00011524858
1,272 Discovering Queries based on Example Tuples 2014 SIGMOD 0.00011248674
1,345 Reverse Engineering Complex Join Queries 2013 SIGMOD 0.00010953079
1,776 Sample-Driven Schema Mapping 2012 SIGMOD 9.6674087e-05
1,953 DBXplorer: Enabling Keyword Search over Relational Databases 2002 SIGMOD 9.3183947e-05
8,151 Schema Independent Relational Learning 2017 SIGMOD 5.3899758e-05
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