Enhanced SQLite Data Loading and Error Handling

📅 2025-08-14 — Session: Enhanced SQLite Data Loading and Error Handling

🕒 06:55–07:20
🏷️ Labels: Sqlite, Python, Data Loading, Error Handling, Persistence
📂 Project: Dev
⭐ Priority: MEDIUM

The session aimed to enhance data loading capabilities from SQLite databases, focusing on flexibility, error handling, and persistence.

Developed a parameterized function for flexible loading of key-value pairs from SQLite, accommodating various table schemas.
Addressed an OperationalError by inspecting database schemas and updating queries.
Implemented a loader function for key-value tables with pickled objects, including usability simplifications.
Debugged table name mismatches in SQLite, particularly with the processed_files table.
Explored options to resolve loading failures in the docstore by adjusting the loading logic or fixing the ingestion pipeline.
Proposed a method to handle UnpicklingError by returning raw binary data.
Reconfigured the loader to handle invalid docstore entries and probed blobs for valid entries.
Built and persisted docstore and index_store for the summarize_nodes function, including testing examples.

Successfully implemented flexible and error-resilient data loading functions for SQLite databases.
Established a robust debugging and error-handling framework for common SQLite issues.
Enhanced the persistence of data structures using pickle and explored alternative persistence methods.

Further testing and optimization of the adjusted loading logic for docstore and vecs.
Evaluation of alternative data persistence strategies for long-term scalability.