sandman2
databases
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sandman2 | databases | |
---|---|---|
3 | 15 | |
1,982 | 3,697 | |
- | 1.1% | |
0.0 | 6.1 | |
4 days ago | 17 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
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sandman2
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Nocodb: Turns Any MySQL, Postgres, SQLite into a Spreadsheet with REST APIs
https://github.com/jeffknupp/sandman2 works with many different backends including sqlite, but postgrest definitely have the auth flow and security model right for these things.
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PostgREST v9.0.0
I'm using sandman2[0] as a wrapper for psql and mysql databases. how is it different or any feature/differentiating factor I should consider for my future wrappers?
[0] - https://github.com/jeffknupp/sandman2
- SQL Alchemy questions
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?
apistar - The Web API toolkit. 🛠
aiomysql - aiomysql is a library for accessing a MySQL database from the asyncio
falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.
aiosql - Simple SQL in Python
hug - Embrace the APIs of the future. Hug aims to make developing APIs as simple as possible, but no simpler.
asyncmy - A fast asyncio MySQL/MariaDB driver with replication protocol support
restless - A lightweight REST miniframework for Python.
alembic - A database migrations tool for SQLAlchemy.
sandman - Sandman "makes things REST".
fastapi-users - Ready-to-use and customizable users management for FastAPI
TBone - Full duplex RESTful API for your asyncio web apps
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.