PostgreSQL is a powerful, open-source object-relational database system that is widely used for web applications. By integrating a PostgreSQL database with your FastAPI application, you can store and manage data efficiently. This guide will walk you through the steps of setting up a free PostgreSQL database and using it in your FastAPI application.
Creating a Free PostgreSQL Database
- Sign up for a free PostgreSQL hosting service: There are many options available, such as Heroku, ElephantSQL, and AWS RDS.
- Create a new database and note the connection URL.
Installing Required Libraries
Install the following libraries:
Bash
pip install fastapi uvicorn sqlalchemy psycopg2
Configuring the Database Connection
In your FastAPI application, create a database connection string using the URL provided by your PostgreSQL hosting service:
Python
DATABASE_URL = "postgresql://user:password@host:port/database"
Creating a Database Session
Python
from sqlalchemy.ext.asyncio import create_async_engine
from sqlalchemy.orm import sessionmaker
engine = create_async_engine(DATABASE_URL)
async_session = sessionmaker(autocommit=False, autoflush=False, bind=engine)
Using the Database in Endpoints
Python
from fastapi import Depends
async def get_db():
async with async_session() as session:
yield session
@app.get("/")
async def read_root(db: Session = Depends(get_db)):
return {"message": "Hello, world!"}
Additional Factors
- Data Models: Define your database models using SQLAlchemy’s declarative base.
- Migrations: Use SQLAlchemy migrations to manage database schema changes.
- Security: Protect your database credentials and ensure proper security measures are in place.
- Performance: Optimize your database queries for performance.