Syllabus Point
- Compare Object-Relational Mapping (ORM) to SQL
Understanding the differences between ORM and SQL helps developers choose the right approach for database interactions based on project requirements, complexity and performance needs.
What is ORM?
ORM allows developers to interact with a database using objects instead of raw SQL queries.
- Provides a layer of abstraction between database and programming language
- Represents database items (rows) as objects in the chosen language
- Attributes (columns) become properties of the object
- Enables object-oriented approach to database operations
SQL approach
SQL approach uses raw SQL queries to interact with the database.
Example:
<pre><code>import sqlite3 conn = sqlite3.connect('database.db') cursor = conn.cursor() cursor.execute("SELECT * FROM users") users = cursor.fetchall() conn.close()</code></pre>
ORM approach
ORM approach uses object-oriented syntax to interact with the database, abstracting away SQL.
Example (using Flask-SQLAlchemy):
<pre><code>from flask_sqlalchemy import SQLAlchemy db = SQLAlchemy() class User(db.Model): id = db.Column(db.Integer, primary_key=True) name = db.Column(db.String(100)) users = User.query.all()</code></pre>
Comparison of SQL and ORM
Similarities
- Both used to interact with relational databases
- Can perform CRUD operations (Create, Read, Update, Delete)
- Aim to manage data and relationships within a database system
- Both can define and enforce relationships
Differences
- ORM allows developers to use OOP, SQL uses declarative statements