asyncpg

An asyncio PostgreSQL driver

These details have not been verified by PyPI

Project description

https://img.shields.io/pypi/v/asyncpg.svg

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.

The 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 types

Installation

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

import asyncio
import asyncpg

async 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.

Project details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

This version

0.30.0

Oct 20, 2024

0.29.0

Nov 5, 2023

0.28.0

Jul 7, 2023

0.27.0

Oct 26, 2022

0.26.0

Jul 7, 2022

0.25.0

Nov 16, 2021

0.24.0

Aug 10, 2021

0.23.0

May 17, 2021

0.22.0

Feb 10, 2021

0.21.0

Aug 9, 2020

0.20.1

Jan 13, 2020

0.20.0

Nov 20, 2019

0.19.0

Oct 9, 2019

0.18.3

Jan 2, 2019

0.18.2

Nov 10, 2018

0.18.1

Oct 31, 2018

0.18.0

Oct 30, 2018

0.17.0

Jul 10, 2018

0.16.0

Jun 6, 2018

0.15.0

Feb 15, 2018

0.14.0

Dec 29, 2017

0.13.0

Oct 20, 2017

0.12.0

Jul 7, 2017

0.11.0

May 11, 2017

0.10.1

Apr 6, 2017

0.10.0

Apr 4, 2017

0.9.0

Mar 2, 2017

0.9.0.dev1 pre-release

Mar 2, 2017

0.8.4

Jan 6, 2017

0.8.3

Jan 4, 2017

0.8.2

Jan 2, 2017

0.8.1

Dec 22, 2016

0.8.0

Dec 22, 2016

0.7.0

Nov 17, 2016

0.6.3

Oct 21, 2016

0.6.2

Oct 20, 2016

0.6.1

Oct 20, 2016

0.5.4

Sep 14, 2016

0.5.3

Aug 5, 2016

0.5.2

Jul 26, 2016

0.5.1

Jul 19, 2016

0.5.0

Jul 18, 2016

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BLAKE2b-256	`f028869a7a279400f8b06dd237266fdd7220bc5f7c975348fea5d1e6909588e9`

Algorithm	Hash digest
SHA256	`aa403147d3e07a267ada2ae34dfc9324e67ccc4cdca35261c8c22792ba2b10cf`
MD5	`5f71089a31fdb8a60e68130ba2d197b6`
BLAKE2b-256	`3400814514eb9287614188a5179a8b6e588a3611ca47d41937af0f3a844b1b4b`

Algorithm	Hash digest
SHA256	`c42f6bb65a277ce4d93f3fba46b91a265631c8df7250592dd4f11f8b0152150f`
MD5	`f1cb9a0bc0f18bb2103b2107ab1811a1`
BLAKE2b-256	`9b26fa96c8f4877d47dc6c1864fef5500b446522365da3d3d0ee89a5cce71a3f`

Algorithm	Hash digest
SHA256	`578445f09f45d1ad7abddbff2a3c7f7c291738fdae0abffbeb737d3fc3ab8b75`
MD5	`ba71dad80dfde0c59ff490d7c68cd472`
BLAKE2b-256	`0885e23dd3a2b55536eb0ded80c457b0693352262dc70426ef4d4a6fc994fa51`

Algorithm	Hash digest
SHA256	`c7255812ac85099a0e1ffb81b10dc477b9973345793776b128a23e60148dd1af`
MD5	`94d6c75a83e88882b774cf580ce2834a`
BLAKE2b-256	`838344bd393919c504ffe4a82d0aed8ea0e55eb1571a1dea6a4922b723f0a03b`

Algorithm	Hash digest
SHA256	`3152fef2e265c9c24eec4ee3d22b4f4d2703d30614b0b6753e9ed4115c8a146f`
MD5	`c8e382ca13a1f7f79def0695d3334d97`
BLAKE2b-256	`de116f2fa6c902f341ca10403743701ea952bca896fc5b07cc1f4705d2bb0593`