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https://github.com/aio-libs/aiomysql
aiomysql is a library for accessing a MySQL database from the asyncio
https://github.com/aio-libs/aiomysql
aiomysql async asyncio mariadb mysql python sqlalchemy
Last synced: 4 days ago
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aiomysql is a library for accessing a MySQL database from the asyncio
- Host: GitHub
- URL: https://github.com/aio-libs/aiomysql
- Owner: aio-libs
- License: mit
- Created: 2015-01-07T20:14:48.000Z (almost 10 years ago)
- Default Branch: master
- Last Pushed: 2024-10-28T16:25:31.000Z (about 2 months ago)
- Last Synced: 2024-10-29T09:32:39.927Z (about 2 months ago)
- Topics: aiomysql, async, asyncio, mariadb, mysql, python, sqlalchemy
- Language: Python
- Homepage: https://aiomysql.rtfd.io
- Size: 1.33 MB
- Stars: 1,753
- Watchers: 47
- Forks: 256
- Open Issues: 116
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGES.txt
- Contributing: CONTRIBUTING.rst
- License: LICENSE
Awesome Lists containing this project
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- awesome-asyncio-cn - aiomysql - 访问 MySQL 数据库的异步驱动。 (数据库驱动)
- awesome-asyncio - aiomysql - Library for accessing a MySQL database (Database Drivers)
README
aiomysql
========
.. image:: https://github.com/aio-libs/aiomysql/actions/workflows/ci-cd.yml/badge.svg?branch=master
:target: https://github.com/aio-libs/aiomysql/actions/workflows/ci-cd.yml
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:target: https://codecov.io/gh/aio-libs/aiomysql
:alt: Code coverage
.. image:: https://badge.fury.io/py/aiomysql.svg
:target: https://badge.fury.io/py/aiomysql
:alt: Latest Version
.. image:: https://readthedocs.org/projects/aiomysql/badge/?version=latest
:target: https://aiomysql.readthedocs.io/
:alt: Documentation Status
.. image:: https://badges.gitter.im/Join%20Chat.svg
:target: https://gitter.im/aio-libs/Lobby
:alt: Chat on Gitter**aiomysql** is a "driver" for accessing a `MySQL` database
from the asyncio_ (PEP-3156/tulip) framework. It depends on and reuses most
parts of PyMySQL_ . *aiomysql* tries to be like awesome aiopg_ library and
preserve same api, look and feel.Internally **aiomysql** is copy of PyMySQL, underlying io calls switched
to async, basically ``yield from`` and ``asyncio.coroutine`` added in
proper places)). `sqlalchemy` support ported from aiopg_.Documentation
-------------
https://aiomysql.readthedocs.io/Basic Example
-------------**aiomysql** based on PyMySQL_ , and provides same api, you just need
to use ``await conn.f()`` or ``yield from conn.f()`` instead of calling
``conn.f()`` for every method.Properties are unchanged, so ``conn.prop`` is correct as well as
``conn.prop = val``... code:: python
import asyncio
import aiomysqlasync def test_example(loop):
pool = await aiomysql.create_pool(host='127.0.0.1', port=3306,
user='root', password='',
db='mysql', loop=loop)
async with pool.acquire() as conn:
async with conn.cursor() as cur:
await cur.execute("SELECT 42;")
print(cur.description)
(r,) = await cur.fetchone()
assert r == 42
pool.close()
await pool.wait_closed()loop = asyncio.get_event_loop()
loop.run_until_complete(test_example(loop))Example of SQLAlchemy optional integration
------------------------------------------
Sqlalchemy support has been ported from aiopg_ so api should be very familiar
for aiopg_ user.:.. code:: python
import asyncio
import sqlalchemy as safrom aiomysql.sa import create_engine
metadata = sa.MetaData()
tbl = sa.Table('tbl', metadata,
sa.Column('id', sa.Integer, primary_key=True),
sa.Column('val', sa.String(255)))async def go(loop):
engine = await create_engine(user='root', db='test_pymysql',
host='127.0.0.1', password='', loop=loop)
async with engine.acquire() as conn:
await conn.execute(tbl.insert().values(val='abc'))
await conn.execute(tbl.insert().values(val='xyz'))async for row in conn.execute(tbl.select()):
print(row.id, row.val)engine.close()
await engine.wait_closed()loop = asyncio.get_event_loop()
loop.run_until_complete(go(loop))Requirements
------------* Python_ 3.7+
* PyMySQL_.. _Python: https://www.python.org
.. _asyncio: http://docs.python.org/3.5/library/asyncio.html
.. _aiopg: https://github.com/aio-libs/aiopg
.. _PyMySQL: https://github.com/PyMySQL/PyMySQL
.. _Tornado-MySQL: https://github.com/PyMySQL/Tornado-MySQL