VeriEQL: Bounded Equivalence Verification for Complex SQL Queries with Integrity Constraints
Not on the map. Why?
Abstract (arXiv)
The task of SQL query equivalence checking is important in various real-world applications (including query rewriting and automated grading) that involve complex queries with integrity constraints; yet, state-of-the-art techniques are very limited in their capability of reasoning about complex features (e.g., those that involve sorting, case statement, rich integrity constraints, etc.) in real-life queries. To the best of our knowledge, we propose the first SMT-based approach and its implementation, VeriEQL, capable of proving and disproving bounded equivalence of complex SQL queries. VeriEQL is based on a new logical encoding that models query semantics over symbolic tuples using the theory of integers with uninterpreted functions. It is simple yet highly practical -- our comprehensive evaluation on over 20,000 benchmarks shows that VeriEQL outperforms all state-of-the-art techniques by more than one order of magnitude in terms of the number of benchmarks that can be proved or disproved. VeriEQL can also generate counterexamples that facilitate many downstream tasks (such as finding serious bugs in systems like MySQL and Apache Calcite).
Key facts. Cited by 8 papers in the map (data through 14 Oct 2026). First posted on arXiv 5 Mar 2024.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 1; 2025: 3; 2026: 4.
8 papers.
- 2025SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verificationcited by 4
- 2024Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checkingcited by 2
- 2025High-Fidelity And Complex Test Data Generation For Google SQL Code Generation Servicescited by 1
- 2026RISE: Rule-Driven SQL Dialect Translation via Query Reductioncited by 1
- 2026SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraintscited by 1
- 2026Human-Level Text-to-SQL via Reinforcement Learning on Verified Data, Without Pipeline Engineeringcited by 1
- 2025Polygon: Symbolic Reasoning for SQL using Conflict-Driven Under-Approximation Searchcited by 0
- 2026ROSE: An Intent-Centered Evaluation Metric for NL2SQLcited by 0
- 2026ROSE: An Intent-Centered Evaluation Metric for NL2SQL14 Apr 2026
- 2026Human-Level Text-to-SQL via Reinforcement Learning on Verified Data, Without Pipeline Engineering20 Mar 2026
- 2026SpotIt+: Verification-based Text-to-SQL Evaluation with Database Constraints4 Mar 2026
- 2026RISE: Rule-Driven SQL Dialect Translation via Query Reduction9 Jan 2026
- 2025SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification30 Oct 2025
- 2025High-Fidelity And Complex Test Data Generation For Google SQL Code Generation Services24 Apr 2025
- 2025Polygon: Symbolic Reasoning for SQL using Conflict-Driven Under-Approximation Search9 Apr 2025
- 2024Can the Rookies Cut the Tough Cookie? Exploring the Use of LLMs for SQL Equivalence Checking7 Dec 2024