What are the best practices for using Flask with ORM?

What are the best practices for using Flask with ORM?

When using Flask with an ORM like SQLAlchemy, consider these best practices: 1. Use Flask-SQLAlchemy for integration. 2. Define models clearly. 3. Use migrations for database changes. 4. Keep queries efficient. 5. Handle sessions properly.

Can you explain why using Flask-SQLAlchemy is beneficial?

Flask-SQLAlchemy simplifies database interactions by providing a higher-level API, managing sessions automatically, and integrating seamlessly with Flask's application context.

What are migrations and why are they important?

Migrations are version-controlled changes to your database schema. They are important because they help you manage changes over time, ensuring that your database structure stays in sync with your application models.

How can I optimize my queries in Flask with ORM?

To optimize queries, use lazy loading, select only necessary fields, and utilize indexing in your database. Also, consider using query caching for frequently accessed data.

What should I avoid when using Flask with ORM?

Avoid using raw SQL queries directly in your application, not handling exceptions properly, and neglecting to close sessions, as these can lead to security issues and performance problems.