aiomysql
databases
aiomysql | databases | |
---|---|---|
5 | 15 | |
1,703 | 3,703 | |
0.6% | 0.5% | |
4.0 | 5.8 | |
19 days ago | 28 days ago | |
Python | Python | |
MIT License | BSD 3-clause "New" or "Revised" License |
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aiomysql
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Tuesday Daily Thread: Advanced questions
Use asyncio lib for mysql, for example – aiomysql
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python asyncio, how to prevent the other functions "block" themselves when connecting to db?
No, as I said, async db connection is the key. You can do that with SQLAlchemy using the databases library, but since you are not using SQLAlchemy it makes more sense to use the underlying db driver, aiomysql, directly.
- data pushed incorrectly from DB when function called from several clients
databases
- Whats the standard way for interacting with a DB.
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Getting Started with Fast-Api 🏎️ and Docker🐳
In the code ,we are using SQLAlchemy as our ORM(Object Relational Mapper) and Databases as our query builder.
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A Deep Dive into Connecting FastAPI with SingleStore.
MySQL is a powerful and popular database, and it's well-suited for use with Python. In the following section, we are going through how to set up a connection to a MySQL database in an asynchronous manner using the create_asynchrouns_engine function from SQLAlchemy. We'll also use the databases package and the aiomysql extra dependency. We'll also adapt the SQLAlchemy declarative approach to defining our users' table.
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Django 4.1 alpha 1 released
To take an example: I switched a service over from doing synchronous (plain def everywhere) to async (async def and await everywhere, with async DB, and saw… basically no performance improvement.
- PostgREST v9.0.0
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python asyncio, how to prevent the other functions "block" themselves when connecting to db?
No, as I said, async db connection is the key. You can do that with SQLAlchemy using the databases library, but since you are not using SQLAlchemy it makes more sense to use the underlying db driver, aiomysql, directly.
- Database library
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Best approach for async SQLAlchemy in FastAPI
Using the encode/databases library and forgoing SQLAlchemy's ORM
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FastAPI + Ormar + Alembic setup
ormar is a mini async ORM for python. It uses sqlalchemy for building queries, databases for asynchronous execution of queries, and pydantic for data validation. You can create an ormar model and generate pydantic models from it.
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async sqlalchemy question db question
works but there seems to be a difference between the regular slqalchemy syntax from what https://github.com/encode/databases/ is using in the docs?
What are some alternatives?
asyncmy - A fast asyncio MySQL/MariaDB driver with replication protocol support
aiosql - Simple SQL in Python
django-mysql - :dolphin: :horse: Extensions to Django for use with MySQL/MariaDB
Tornado-SQLAlchemy - SQLAlchemy support for Tornado
alembic - A database migrations tool for SQLAlchemy.
mqtt2sql - Copy MQTT topic payloads to MySQL/SQLite database
fastapi-users - Ready-to-use and customizable users management for FastAPI
GINO - GINO Is Not ORM - a Python asyncio ORM on SQLAlchemy core.
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
aerie - An async database toolkit.
mangum - AWS Lambda support for ASGI applications