SQL-Exchange: Transforming SQL Queries Across Domains

• URL: http://arxiv.org/abs/2508.07087v1
• Date: Sat, 09 Aug 2025 19:55:54 GMT
• Title: SQL-Exchange: Transforming SQL Queries Across Domains
• Authors: Mohammadreza Daviran, Brian Lin, Davood Rafiei,
• Abstract summary: We introduce a framework for mapping queries across different database schemas by preserving the source query structure while adapting domain-specific elements to align with the target schema.<n>We investigate the conditions under which such mappings are feasible and beneficial, and examine their impact on enhancing the in-context learning performance of text-to-context systems.
• Score: 5.5643498845134545
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: We introduce SQL-Exchange, a framework for mapping SQL queries across different database schemas by preserving the source query structure while adapting domain-specific elements to align with the target schema. We investigate the conditions under which such mappings are feasible and beneficial, and examine their impact on enhancing the in-context learning performance of text-to-SQL systems as a downstream task. Our comprehensive evaluation across multiple model families and benchmark datasets--assessing structural alignment with source queries, execution validity on target databases, and semantic correctness--demonstrates that SQL-Exchange is effective across a wide range of schemas and query types. Our results further show that using mapped queries as in-context examples consistently improves text-to-SQL performance over using queries from the source schema.

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