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How can I use Flask with Async SQLAlchemy?

An example of an AI chatbot conversation about using Flask with Async SQLAlchemy.

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You

How can I use Flask with Async SQLAlchemy?

MagicBuddy
MagicBuddy

You can use Flask with Async SQLAlchemy by integrating it with an async framework like FastAPI or using Flask's async capabilities.

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You

What are the benefits of using Async SQLAlchemy with Flask?

MagicBuddy
MagicBuddy

The benefits include improved performance, non-blocking database operations, and better handling of concurrent requests.

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You

Can you provide a code example for setting it up?

MagicBuddy
MagicBuddy

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.

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You

What databases are compatible with Async SQLAlchemy?

MagicBuddy
MagicBuddy

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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