SQL Semantic Validation for LLM-Generated Queries

Recently, many teams are working on Text-to-SQL, ChatBI, or data analysis agents. An often underestimated issue is that SQL generated by LLMs should not be directly executed on production databases.

This article discusses a technical topic: explaining why syntactically correct SQL still requires catalog binding, name resolution, and semantic checks.

Key points:

• Syntactic correctness does not guarantee semantic correctness.

• Real catalog metadata is needed to resolve tables, columns, aliases, scopes, functions, and types.

• This serves as a key technical bridge from SQL parsing to SQL semantic governance.

Original link: https://www.dpriver.com/blog/sql-semantic-validation-for-llm-generated-queries/?utm_source=hashnode&utm_medium=community&utm_campaign=ai_sql_governance_external_2026q2&utm_content=shenhuan_hashnode_sql_semantic_validation_for_llm_generated_queries