Three Safeguards for SQL Quality Control
A defensive scheme is recommended for the possible risk of errors in the generated results:
- Preventive phase::
- set up
temperature=0Parameters ensure deterministic output - Use the standard prompt template provided by the project (with SQLite syntax constraints)
- Limit the output range in the problem (e.g.
仅使用WHERE条件，不要包含子查询)
- set up
- detection stage::
- Enable step-by-step export of models (
stream=True) Observation of intermediate reasoning processes - utilization
sqlparseLibrary for syntax checking - pass (a bill or inspection etc)
PRAGMA foreign_key_checkValidating Relationship Integrity
- Enable step-by-step export of models (
- amendment stage::
- Adopting a partitioning strategy for complex queries: generating subqueries before combining them
- Reference to SynSQL Dataset 2,183 Error Correction Examples
- Switch between 14B/32B model versions when errors persist
Typical response: if generatedGROUP BYMissing, emphasize "need to group statistics by XX fields" in the prompt.
This answer comes from the articleOmniSQL: A Model for Transforming Natural Language into High-Quality SQL QueriesThe
May not be reproduced without permission:AI productivity tools " How to avoid syntax errors or logical deviations in the generated SQL?
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