# SQLModel Object Realational Modeling

## Learning Documentation and Videos

https://sqlmodel.tiangolo.com/

Code for Tutorial:

https://github.com/tiangolo/sqlmodel/tree/main/docs_src/tutorial

Watch Videos:

https://www.youtube.com/watch?v=LY52NhyJZbY

https://www.youtube.com/watch?v=RkO-q9asMFM

https://www.youtube.com/watch?v=hhyCLJ6dSCs

## Topics To Cover:

1. https://sqlmodel.tiangolo.com/databases/

2. https://sqlmodel.tiangolo.com/db-to-code/

3. https://sqlmodel.tiangolo.com/tutorial/create-db-and-table-with-db-browser/

4. https://sqlmodel.tiangolo.com/tutorial/create-db-and-table/

5. https://sqlmodel.tiangolo.com/tutorial/insert/

6. https://sqlmodel.tiangolo.com/tutorial/automatic-id-none-refresh/

7. https://sqlmodel.tiangolo.com/tutorial/select/

8. https://sqlmodel.tiangolo.com/tutorial/where/

9. https://sqlmodel.tiangolo.com/tutorial/indexes/

10. https://sqlmodel.tiangolo.com/tutorial/one/

11. https://sqlmodel.tiangolo.com/tutorial/limit-and-offset/

12. https://sqlmodel.tiangolo.com/tutorial/update/

13. https://sqlmodel.tiangolo.com/tutorial/delete/

14. https://sqlmodel.tiangolo.com/tutorial/connect/

15. https://sqlmodel.tiangolo.com/tutorial/relationship-attributes/

16. https://sqlmodel.tiangolo.com/tutorial/many-to-many/

17. https://sqlmodel.tiangolo.com/tutorial/code-structure/



SQLModel is a library for interacting with SQL databases in Python, designed to be used with FastAPI, and built on top of SQLAlchemy and Pydantic. It brings together the best of these libraries, making it easier to create models that can be used both for defining database tables and for validating and serializing data in FastAPI applications. This synergy makes SQLModel a compelling choice for microservice development using Python and FastAPI, particularly for projects that involve significant database interactions.

### Advantages of SQLModel for Microservice Development with Python and FastAPI

1. **Integration with FastAPI**: SQLModel is specifically designed to work seamlessly with FastAPI, offering a unified experience. This integration simplifies the development process, as you can use the same models for both database operations and request/response validation.

2. **Ease of Use**: SQLModel simplifies the code needed for database interactions, making it more straightforward and readable. This is especially beneficial in microservices, where simplicity and clarity are key.

3. **Power of SQLAlchemy**: SQLModel is built on top of SQLAlchemy, one of the most powerful and flexible ORM (Object-Relational Mapping) tools in Python. This provides a robust foundation for handling complex database operations.

4. **Data Validation and Serialization with Pydantic**: Leveraging Pydantic for model definition means that data validation and serialization are built-in, reducing the amount of boilerplate code and enhancing data integrity.

5. **Asynchronous Support**: SQLModel supports asynchronous database operations, which is important for microservices that need to handle high concurrency and IO-bound tasks efficiently.

6. **Type Safety and Autocompletion**: Due to its integration with Pydantic and SQLAlchemy, SQLModel offers excellent support for type hinting, leading to better autocompletion in IDEs and reduced risk of type-related bugs.

7. **Migration Support**: SQLModel can be used with Alembic for database migrations, essential for managing database schema changes in a microservices environment.

### Disadvantages of SQLModel for Microservice Development with Python and FastAPI

1. **Relatively New**: SQLModel is a newer library compared to SQLAlchemy and other ORM tools. This might mean fewer resources, lesser community support, and potential early-stage bugs or missing features.

2. **Learning Curve**: For developers not familiar with SQLAlchemy or Pydantic, there might be a learning curve involved in understanding how SQLModel integrates these tools.

3. **Overhead for Simple Use Cases**: If your microservice has very minimal interaction with a database or doesn't require complex data modeling, the features of SQLModel might be overkill, adding unnecessary complexity.

4. **Limited to SQL Databases**: As the name suggests, SQLModel is tailored for SQL databases. If your microservice architecture involves NoSQL databases, SQLModel wouldn't be applicable.

5. **Potential Performance Overheads**: While SQLModel adds convenience and functionality, it might introduce some overhead compared to using raw SQL or a lighter ORM. This could be a consideration for highly performance-sensitive applications.

6. **Dependence on External Libraries**: SQLModel's dependence on SQLAlchemy and Pydantic means that any limitations or issues in these libraries can affect your application. It also means keeping track of updates and changes in these libraries.

### Conclusion

SQLModel is well-optimized for microservice development with Python and FastAPI, especially in scenarios that involve complex data models and require robust database interactions. It brings together the strengths of SQLAlchemy and Pydantic, offering a powerful toolset for developers. 

