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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
11425
Venue
VLDB
Year
2017
Pagerank
6.8581987e-05
Overall Rank
3,668 | 74.51%
DOI
-

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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
53 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00065993143
491 Query by Output 2009 SIGMOD 0.00021960753
1,456 Query From Examples: An Iterative, Data-Driven Approach to Query Construction 2015 VLDB 0.00011891284
1,502 Discovering Queries based on Example Tuples 2014 SIGMOD 0.00011614522
1,575 Reverse Engineering Complex Join Queries 2013 SIGMOD 0.00011288804
1,680 DBXplorer: Enabling Keyword Search over Relational Databases 2002 SIGMOD 0.00010923824
2,081 Sample-Driven Schema Mapping 2012 SIGMOD 9.58883e-05
7,663 Schema Independent Relational Learning 2017 SIGMOD 4.6812239e-05
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