How can I improve the performance of SQLAlchemy with async?

How can I improve the performance of SQLAlchemy with async?

To improve SQLAlchemy's performance with async, consider using async session and connection pooling.

What are the benefits of using async with SQLAlchemy?

Async allows for non-blocking database operations, improving throughput and responsiveness in applications.

Can you give me an example of using async with SQLAlchemy?

Sure! Here's a simple example:

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

engine = create_async_engine('postgresql+asyncpg://user:password@localhost/dbname')
AsyncSessionLocal = sessionmaker(bind=engine, class_=AsyncSession)

async def get_data():
    async with AsyncSessionLocal() as session:
        result = await session.execute(select(MyModel))
        return result.scalars().all()