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SQL databases in Python, designed for simplicity, compatibility, and robustness.

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SQLModel

SQLModel, SQL databases in Python, designed for simplicity, compatibility, and robustness.

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Documentation:https://sqlmodel.tiangolo

Source Code:https://github /tiangolo/sqlmodel


SQLModel is a library for interacting with SQL databases from Python code, with Python objects. It is designed to be intuitive, easy to use, highly compatible, and robust.

SQLModelis based on Python type annotations, and powered byPydanticandSQLAlchemy.

The key features are:

  • Intuitive to write:Great editor support. Completion everywhere. Less time debugging. Designed to be easy to use and learn. Less time reading docs.
  • Easy to use:It has sensible defaults and does a lot of work underneath to simplify the code you write.
  • Compatible:It is designed to be compatible withFastAPI,Pydantic, and SQLAlchemy.
  • Extensible:You have all the power of SQLAlchemy and Pydantic underneath.
  • Short:Minimize code duplication. A single type annotation does a lot of work. No need to duplicate models in SQLAlchemy and Pydantic.

SQL Databases in FastAPI

SQLModelis designed to simplify interacting with SQL databases inFastAPIapplications, it was created by the sameauthor.😁

It combines SQLAlchemy and Pydantic and tries to simplify the code you write as much as possible, allowing you to reduce thecode duplication to a minimum,but while getting thebest developer experiencepossible.

SQLModelis, in fact, a thin layer on top ofPydanticandSQLAlchemy,carefully designed to be compatible with both.

Requirements

A recent and currently supported version of Python (right now,Python supports versions 3.6 and above).

AsSQLModelis based onPydanticandSQLAlchemy,it requires them. They will be automatically installed when you install SQLModel.

Installation

$pip install sqlmodel
---> 100%
Successfully installed sqlmodel

Example

For an introduction to databases, SQL, and everything else, see theSQLModel documentation.

Here's a quick example. ✨

A SQL Table

Imagine you have a SQL table calledherowith:

  • id
  • name
  • secret_name
  • age

And you want it to have this data:

id name secret_name age
1 Deadpond Dive Wilson null
2 Spider-Boy Pedro Parqueador null
3 Rusty-Man Tommy Sharp 48

Create a SQLModel Model

Then you could create aSQLModelmodel like this:

fromtypingimportOptional

fromsqlmodelimportField,SQLModel


classHero(SQLModel,table=True):
id:Optional[int]=Field(default=None,primary_key=True)
name:str
secret_name:str
age:Optional[int]=None

That classHerois aSQLModelmodel, the equivalent of a SQL table in Python code.

And each of those class attributes is equivalent to eachtable column.

Create Rows

Then you couldcreate each rowof the table as aninstanceof the model:

hero_1=Hero(name="Deadpond",secret_name="Dive Wilson")
hero_2=Hero(name="Spider-Boy",secret_name="Pedro Parqueador")
hero_3=Hero(name="Rusty-Man",secret_name="Tommy Sharp",age=48)

This way, you can use conventional Python code withclassesandinstancesthat representtablesandrows,and that way communicate with theSQL database.

Editor Support

Everything is designed for you to get the best developer experience possible, with the best editor support.

Includingautocompletion:

Andinline errors:

Write to the Database

You can learn a lot more aboutSQLModelby quickly following thetutorial,but if you need a taste right now of how to put all that together and save to the database, you can do this:

fromtypingimportOptional

fromsqlmodelimportField,Session,SQLModel,create_engine


classHero(SQLModel,table=True):
id:Optional[int]=Field(default=None,primary_key=True)
name:str
secret_name:str
age:Optional[int]=None


hero_1=Hero(name="Deadpond",secret_name="Dive Wilson")
hero_2=Hero(name="Spider-Boy",secret_name="Pedro Parqueador")
hero_3=Hero(name="Rusty-Man",secret_name="Tommy Sharp",age=48)


engine=create_engine("sqlite:///database.db")


SQLModel.metadata.create_all(engine)

withSession(engine)assession:
session.add(hero_1)
session.add(hero_2)
session.add(hero_3)
session.commit()

That will save aSQLitedatabase with the 3 heroes.

Select from the Database

Then you could write queries to select from that same database, for example with:

fromtypingimportOptional

fromsqlmodelimportField,Session,SQLModel,create_engine,select


classHero(SQLModel,table=True):
id:Optional[int]=Field(default=None,primary_key=True)
name:str
secret_name:str
age:Optional[int]=None


engine=create_engine("sqlite:///database.db")

withSession(engine)assession:
statement=select(Hero).where(Hero.name=="Spider-Boy")
hero=session.exec(statement).first()
print(hero)

Editor Support Everywhere

SQLModelwas carefully designed to give you the best developer experience and editor support,even after selecting datafrom the database:

SQLAlchemy and Pydantic

That classHerois aSQLModelmodel.

But at the same time, ✨ it is aSQLAlchemymodel ✨. So, you can combine it and use it with other SQLAlchemy models, or you could easily migrate applications with SQLAlchemy toSQLModel.

And at the same time, ✨ it is also aPydanticmodel ✨. You can use inheritance with it to define all yourdata modelswhile avoiding code duplication. That makes it very easy to use withFastAPI.

License

This project is licensed under the terms of the MIT license.

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