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https://github.com/MagicStack/asyncpg
A fast PostgreSQL Database Client Library for Python/asyncio.
https://github.com/MagicStack/asyncpg
async-programming async-python asyncio database-driver high-performance postgresql python python-3
Last synced: 7 days ago
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A fast PostgreSQL Database Client Library for Python/asyncio.
- Host: GitHub
- URL: https://github.com/MagicStack/asyncpg
- Owner: MagicStack
- License: apache-2.0
- Created: 2016-07-19T02:25:20.000Z (over 8 years ago)
- Default Branch: master
- Last Pushed: 2024-05-02T18:49:17.000Z (6 months ago)
- Last Synced: 2024-05-16T21:45:45.705Z (6 months ago)
- Topics: async-programming, async-python, asyncio, database-driver, high-performance, postgresql, python, python-3
- Language: Python
- Homepage:
- Size: 10.5 MB
- Stars: 6,646
- Watchers: 121
- Forks: 391
- Open Issues: 227
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
- Authors: AUTHORS
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README
asyncpg -- A fast PostgreSQL Database Client Library for Python/asyncio
=======================================================================.. image:: https://github.com/MagicStack/asyncpg/workflows/Tests/badge.svg
:target: https://github.com/MagicStack/asyncpg/actions?query=workflow%3ATests+branch%3Amaster
:alt: GitHub Actions status
.. image:: https://img.shields.io/pypi/v/asyncpg.svg
:target: https://pypi.python.org/pypi/asyncpg**asyncpg** is a database interface library designed specifically for
PostgreSQL and Python/asyncio. asyncpg is an efficient, clean implementation
of PostgreSQL server binary protocol for use with Python's ``asyncio``
framework. You can read more about asyncpg in an introductory
`blog post `_.asyncpg requires Python 3.8 or later and is supported for PostgreSQL
versions 9.5 to 17. Other PostgreSQL versions or other databases
implementing the PostgreSQL protocol *may* work, but are not being
actively tested.Documentation
-------------The project documentation can be found
`here `_.Performance
-----------In our testing asyncpg is, on average, **5x** faster than psycopg3.
.. image:: https://raw.githubusercontent.com/MagicStack/asyncpg/master/performance.png?fddca40ab0
:target: https://gistpreview.github.io/?0ed296e93523831ea0918d42dd1258c2The above results are a geometric mean of benchmarks obtained with PostgreSQL
`client driver benchmarking toolbench `_
in June 2023 (click on the chart to see full details).Features
--------asyncpg implements PostgreSQL server protocol natively and exposes its
features directly, as opposed to hiding them behind a generic facade
like DB-API.This enables asyncpg to have easy-to-use support for:
* **prepared statements**
* **scrollable cursors**
* **partial iteration** on query results
* automatic encoding and decoding of composite types, arrays,
and any combination of those
* straightforward support for custom data typesInstallation
------------asyncpg is available on PyPI. When not using GSSAPI/SSPI authentication it
has no dependencies. Use pip to install::$ pip install asyncpg
If you need GSSAPI/SSPI authentication, use::
$ pip install 'asyncpg[gssauth]'
For more details, please `see the documentation
`_.Basic Usage
-----------.. code-block:: python
import asyncio
import asyncpgasync def run():
conn = await asyncpg.connect(user='user', password='password',
database='database', host='127.0.0.1')
values = await conn.fetch(
'SELECT * FROM mytable WHERE id = $1',
10,
)
await conn.close()asyncio.run(run())
License
-------asyncpg is developed and distributed under the Apache 2.0 license.