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Test Data Generation for Complex SQL Queries

Summary: Novel architecture and techniques for generating test data for complex SQL (multi-block, deep nesting, advanced constructs), targeting validation of analytics, application, and text-to-SQL queries. Outperforms prior generators and improves non-equivalence detection. (summarized by gpt-5-mini on Feb 11 2026)

Paper ID
7618
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,406 | 28.61%
DOI
10.1145/3769832

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Authors

BibTeX Citation

@inproceedings{somwase_sigmod26,
        title = {{Test Data Generation for Complex SQL Queries}},
        author = {Somwase, Sunanda and Das, Parismita and Sudarshan, S.},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3769832},
        url = {https://dl.acm.org/doi/10.1145/3769832},
        year = {2026}
}

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

Rank Cited Paper Year Venue Pagerank
1,362 Execution Strategies for SQL Subqueries 2007 SIGMOD 0.00011032204
1,829 Axiomatic Foundations and Algorithms for Deciding Semantic Equivalences of SQL Queries 2018 VLDB 9.6671311e-05
3,769 Proving Query Equivalence Using Linear Integer Arithmetic 2023 SIGMOD 7.1403543e-05
6,872 Efficient Regression Tests for Database Applications 2005 CIDR 5.7496345e-05
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