How can I use SQLAlchemy with async in my Python project?

How can I use SQLAlchemy with async in my Python project?

You can use SQLAlchemy with async by utilizing the asyncio library along with the asyncpg driver for PostgreSQL. First, ensure you have the necessary packages installed.

What packages do I need to install?

You need to install SQLAlchemy, asyncpg, and asyncio. You can do this using pip: pip install sqlalchemy asyncpg.

Can you show me a simple example of an async query?

Sure! Here's a basic example:

import asyncio
from sqlalchemy.ext.asyncio import create_async_engine, AsyncSession
from sqlalchemy.orm import sessionmaker

DATABASE_URL = 'postgresql+asyncpg://user:password@localhost/dbname'

engine = create_async_engine(DATABASE_URL, echo=True)
AsyncSessionLocal = sessionmaker(bind=engine, class_=AsyncSession)

async def get_data():
    async with AsyncSessionLocal() as session:
        result = await session.execute('SELECT * FROM my_table')
        return result.scalars().all()

asyncio.run(get_data())

What are the benefits of using async with SQLAlchemy?

Using async with SQLAlchemy allows for non-blocking database operations, which can improve the performance of I/O-bound applications, especially in web applications where you want to handle multiple requests concurrently.