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FastQRE: Fast Query Reverse Engineering
Summary: FastQRE solves QRE by efficiently recovering a simple project-join SQL that reproduces a target table. It delivers 2–3 orders of magnitude speedups over state-of-the-art NP-hard search, solving complex queries in seconds rather than days.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
5509
Venue
SIGMOD
Year
2018
Pagerank
8.3231158e-05
Overall Rank
2,631 | 81.96%
DOI
10.1145/3183713.3183727
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{kalashnikov_sigmod18,
title = {{FastQRE: Fast Query Reverse Engineering}},
author = {Kalashnikov, Dmitri V. and Lakshmanan, Laks V.S. and Srivastava, Divesh},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3183727},
url = {https://dl.acm.org/doi/10.1145/3183713.3183727},
year = {2018}
}
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Showing 26 of 26 cited papers.
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Year
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Pagerank
13
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1993
SIGMOD
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37
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2002
VLDB
0.00048017193
180
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2000
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517
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2009
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A Hybrid Approach to Functional Dependency Discovery
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2014
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0.00011427456
1,313
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2010
VLDB
0.00010506299
1,555
Keyword Search in Databases: The Power of RDBMS
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SIGMOD
0.00010370683
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2006
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9.9697258e-05
1,751
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SIGMOD
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2008
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9.0607273e-05
2,914
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2011
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7.9667467e-05
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2011
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3,450
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2008
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