databases
alembic
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databases | alembic | |
---|---|---|
15 | 4 | |
3,692 | 2,442 | |
1.0% | 3.4% | |
6.1 | 8.5 | |
9 days ago | 15 days ago | |
Python | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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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?
alembic
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Understanding a Data Model
SQLAlchemy ORM should support comments if you're using it to create database objects.
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What migration/versioning tool do you use?
https://github.com/sqlalchemy/alembic for python, especially if you're using SQLAlchemy
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PostgREST v9.0.0
Agreed, here’s a link to flyway if anyone is curious - https://github.com/flyway/flyway. Many ORMs come with migration systems in your language of choice. For example, SQLAlchemy’s migration tool is Alembic - https://github.com/sqlalchemy/alembic.
- Adding column to DB model results in internal server error, Flask, SQLAlchemy
What are some alternatives?
aiomysql - aiomysql is a library for accessing a MySQL database from the asyncio
Flyway - Flyway by Redgate • Database Migrations Made Easy.
aiosql - Simple SQL in Python
aerich - A database migrations tool for TortoiseORM, ready to production.
asyncmy - A fast asyncio MySQL/MariaDB driver with replication protocol support
goose - A database migration tool. Supports SQL migrations and Go functions.
fastapi-users - Ready-to-use and customizable users management for FastAPI
SQLAlchemy - The Database Toolkit for Python
full-stack-fastapi-template - Full stack, modern web application template. Using FastAPI, React, SQLModel, PostgreSQL, Docker, GitHub Actions, automatic HTTPS and more.
bytebase - The GitLab/GitHub for database DevOps. World's most advanced database DevOps and CI/CD for Developer, DBA and Platform Engineering teams.
mangum - AWS Lambda support for ASGI applications
postgresql-migrations - Simple Schema Migrations for PostgreSQL