SQLite3 Database Backup and Restore Techniques

SQLite3 Database Backup and Restore Techniques

Restoring databases with the sqlite3 backup API involves common pitfalls that can lead to data loss. Key issues include restoring to an open connection, schema mismatches, and large database sizes. Implementing error handling and ensuring a clean database state before restores are essential for maintaining data integrity and application responsiveness.
Querying Data from SQLite Database using SQLite3

Querying Data from SQLite Database using SQLite3

SQLite3 query results can be effectively handled in Python using data structures. Utilize fetchall() to retrieve all rows or fetchone() for a single row. Named tuples improve data readability and maintainability. Consider sorting or filtering results in Python, and always implement error handling with try-except blocks for robust applications.