How can I use Flask with Async SQLAlchemy?
You can use Flask with Async SQLAlchemy by integrating it with an async framework like FastAPI or using Flask's async capabilities.
What are the benefits of using Async SQLAlchemy with Flask?
The benefits include improved performance, non-blocking database operations, and better handling of concurrent requests.
Can you provide a code example for setting it up?
Sure! Here's a simple example:
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy.ext.asyncio import AsyncSession, create_async_engine
from sqlalchemy.orm import sessionmaker
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql+asyncpg://user:password@localhost/dbname'
engine = create_async_engine(app.config['SQLALCHEMY_DATABASE_URI'], echo=True)
AsyncSessionLocal = sessionmaker(bind=engine, class_=AsyncSession, expire_on_commit=False)
@app.route('/async-data')
async def get_data():
async with AsyncSessionLocal() as session:
result = await session.execute('SELECT * FROM my_table')
return result.fetchall()
This sets up an async route in Flask.
What databases are compatible with Async SQLAlchemy?
Async SQLAlchemy is compatible with databases that support async drivers, such as PostgreSQL with asyncpg, MySQL with aiomysql, and SQLite with aiosqlite.
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