Python ORM |Python Interview Questions | Django ORM
Hi, everyone! Welcome to the Python Backend Interview series. Today, we’ll talk about ORM, or Object Relational Mapping, a tool that simplifies how developers interact with databases using Python.
Definition and Example:
ORM is a bridge between your Python code and the database. Instead of writing SQL queries manually, ORM allows you to work with Python objects.
For example, in Django, you define models like Product with attributes such as name, price, and stock. Django ORM maps this model to a database table, where these attributes become columns. When you perform actions on the model, such as adding or retrieving data, Django ORM converts them into SQL queries behind the scenes.
Benefits of ORM:
Time-Saving: You can write simple Python commands instead of SQL queries for most database interactions.
Security: ORM reduces the risk of SQL injection by safely handling input.
Portability: When migrating from SQLite to PostgreSQL or MySQL, ORM simplifies the process without requiring major code changes.
Readability: Your code is cleaner and easier to understand, improving maintainability.
When Not to Use ORM:
Complex Queries: For advanced queries with multiple joins, raw SQL may be more efficient and direct.
Performance-Critical Tasks: In scenarios where performance is crucial, raw SQL avoids the overhead of ORM and runs faster.
Database-Specific Features: For custom database functionality, raw SQL gives more control and precision.
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