Object-Relational Mapping (ORM) is a programming technique that enables developers to interact with a relational database using objects, rather than writing raw SQL code.
Brief definition👇
ORM is a bridge between the object-oriented programming world and the relational database world. It allows developers to:
1. Represent database tables as classes
2. Map database columns to object properties
3. Perform CRUD (Create, Read, Update, Delete) operations using objects
Key Benefits🌞
1. Simplifies database interactions
2. Reduces SQL boilerplate code
3. Improves code readability and maintainability
4. Enhances portability across databases
5. Supports lazy loading and caching
How ORM Works😏
1. Configuration: Define mapping between classes and database tables
2. Object Creation: Create objects that represent database data
3. Persistence: Save objects to the database
4. Retrieval: Query database using objects
5. Update: Modify objects and save changes to the database
Popular ORM Tools😊
1. Hibernate (Java)
2. Entity Framework (C#/.NET)
3. Django ORM (Python)
4. SQLAlchemy (Python)
5. Laravel Eloquent (PHP)
6. TypeORM (TypeScript/JavaScript)
7. Doctrine (PHP)
ORM Concepts👍
1. Entity: Represents a database table
2. Attribute: Represents a database column
3. Relationship: Defines connections between entities
4. Query: Retrieves data from the database
5. Transaction: Manages database operations
Advantages🚴
1. Improved productivity
2. Reduced SQL errors
3. Better data abstraction
4. Enhanced scalability
5. Simplified database migration
Disadvantages😪
1. Performance overhead
2. Steep learning curve
3. Over-engineering
4. Limited control over SQL
5. Potential for ORM-specific issues
Best Practices🏂
1. Use lazy loading
2. Optimize queries
3. Use caching
4. Avoid over-engineering
5. Monitor performance
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