# aiomysql

**Repository Path**: SiriusChu1/aiomysql

## Basic Information

- **Project Name**: aiomysql
- **Description**: aiomysql is a library for accessing a MySQL database from the asyncio
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-05-25
- **Last Updated**: 2021-05-25

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

aiomysql
========
.. image:: https://travis-ci.com/aio-libs/aiomysql.svg?branch=master
    :target: https://travis-ci.com/aio-libs/aiomysql
.. image:: https://codecov.io/gh/aio-libs/aiomysql/branch/master/graph/badge.svg
    :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/


Mailing List
------------
https://groups.google.com/forum/#!forum/aio-libs


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 aiomysql


    async 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 sa

    from 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_ 3.5.3+
* 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