What is ORM?
Principally, Object-Relational Mapping (ORM) is aimed at maintaining an interface between the object-oriented programming (OOP) – based approach to application development employed and the relational database model – used for storing and managing data.
In this way in the past, data working was like writing a SQL query which involves the teams working with tables and rows, and this often produced complex error-prone code, especially as applications increased in complexity.
Example
in Django ORM you can use elastic orm methods like User.objects.filter(age__gt=18) instead of writing SQL query SELECT * FROM users WHERE age > 18 or in SQLAlchemy you can use session.query(User).filter(User.age > 18).all(), instead of writing SQL query SELECT * FROM users WHERE age > 18.
How to Use ORM Caching and Lazy Loading Wisely
This is the world where web development moves at a high pace, and development speed counts—how much time during which you can be only you, improving your performance. From the variety of techniques provided, two major ones come out with a lot of power ORM caching and lazy loading.
However, there are some issues before following the details of “how” ORM caching and lazy loading work; in other words, how these might join to result in the best performance ever achieved and outlining some ways for their reasonable implementation.
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