Database Paper Browser

Back to papers

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
11424
Venue
VLDB
Year
2017
Pagerank
6.8647221e-05
Overall Rank
3,663 | 74.52%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 12 of 12 citing papers.

Previous Page 1 / 1 Next

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
54 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00066047203
492 Query by Output 2009 SIGMOD 0.00021974699
1,459 Query From Examples: An Iterative, Data-Driven Approach to Query Construction 2015 VLDB 0.00011889802
1,509 Discovering Queries based on Example Tuples 2014 SIGMOD 0.00011612727
1,572 Reverse Engineering Complex Join Queries 2013 SIGMOD 0.00011298251
1,679 DBXplorer: Enabling Keyword Search over Relational Databases 2002 SIGMOD 0.00010932603
2,078 Sample-Driven Schema Mapping 2012 SIGMOD 9.599707e-05
7,664 Schema Independent Relational Learning 2017 SIGMOD 4.6857329e-05
Previous Page 1 / 1 Next

Semantically Similar Papers