Use Hive-compatible identifier handling and template defaults so generated SQL returns real column values, while also fixing table schema parsing and adding required Hive runtime dependencies.
Made-with: Cursor
- Add SQLite support to data sources (file-based connection)
- Add Hive support to data sources
- Add SSL toggle option for MySQL and Doris databases
- Add sample data (3 rows JSON format) to help AI better understand table schema
- Fix SQLite schema table name issue (empty schema prefix)
- Add SQLite.yaml template for SQL generation
- Add Hive to haveSchema list in frontend
Co-Authored-By: Claude Opus 4.6 <[email protected]>
1.Add parameter: GENERATE_SQL_QUERY_LIMIT_ENABLED (default value is True to control data return Limit 1000 rows)
2.Use different SQL example templates based on different data sources.
junjun