📦

Mastering Async PostgreSQL with asyncpg: The Ultimate Tutorial

Dive into our comprehensive asyncpg tutorial to learn how to efficiently interact with PostgreSQL databases in Python using async capabilities, ensuring fast postgres operations.

pip install asyncpg

Overview

What is asyncpg and Why Use It?

Key Features and Capabilities of asyncpg

Installation Instructions for asyncpg

Basic Usage Examples of asyncpg

Common Use Cases for Async PostgreSQL

Best Practices and Tips for Using asyncpg

Common Use Cases

Asynchronous web applications requiring fast postgres performance
Real-time data processing applications
Microservices interacting with PostgreSQL databases

Code Examples

Getting Started with asyncpg

import asyncpg

async def main():
    conn = await asyncpg.connect(user='user', password='password', database='database', host='127.0.0.1')
    rows = await conn.fetch('SELECT * FROM my_table')
    await conn.close()

# To run:
# import asyncio
# asyncio.run(main())

Advanced asyncpg Example: Inserting Data

async def insert_data():
    conn = await asyncpg.connect(user='user', password='password', database='database', host='127.0.0.1')
    await conn.execute('INSERT INTO my_table(name) VALUES($1)', 'John Doe')
    await conn.close()

# To run:
# import asyncio
# asyncio.run(insert_data())

Alternatives

SQLAlchemy (with async support)Tortoise-ORM

Common Methods

connect

Establish a connection to the PostgreSQL database

fetch

Fetch rows from the database

execute

Execute a command in the database

More Database & SQL Libraries

📦Pony 📦Pymysql 📦Pandas 📦Fastapi 📦Sqlite3 📦Aioredis