mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-01-31 23:55:06 +08:00
23bdf25a1f
### What problem does this PR solve? close #12770 This PR adds OceanBase as a storage backend for the Table Parser. It enables dynamic table schema storage via JSON and implements OceanBase SQL execution for text-to-SQL retrieval. ### Type of change - [ ] Bug Fix (non-breaking change which fixes an issue) - [x] New Feature (non-breaking change which adds functionality) - [ ] Documentation Update - [ ] Refactoring - [ ] Performance Improvement - [ ] Other (please describe): ### Changes - Table Parser stores row data into `chunk_data` when doc engine is OceanBase. (table.py) - OceanBase table schema adds `chunk_data` JSON column and migrates if needed. - Implemented OceanBase `sql()` to execute text-to-SQL results. (ob_conn.py) - Add `DOC_ENGINE_OCEANBASE` flag for engine detection (setting.py) ### Test 1. Set `DOC_ENGINE=oceanbase` (e.g. in `docker/.env`) <img width="1290" height="783" alt="doc_engine_ob" src="https://github.com/user-attachments/assets/7d1c609f-7bf2-4b2e-b4cc-4243e72ad4f1" /> 2. Upload an Excel file to Knowledge Base.(for test, we use as below) <img width="786" height="930" alt="excel" src="https://github.com/user-attachments/assets/bedf82f2-cd00-426b-8f4d-6978a151231a" /> 3. Choose **Table** as parsing method. <img width="2550" height="1134" alt="parse_excel" src="https://github.com/user-attachments/assets/aba11769-02be-4905-97e1-e24485e24cd0" /> 4.Ask a natural language query in chat. <img width="2550" height="1134" alt="query" src="https://github.com/user-attachments/assets/26a910a6-e503-4ac7-b66a-f5754bbb0e91" />