Skip to main content

asyncmy - A fast asyncio MySQL driver

image image pypi ci

Introduction

asyncmy is a fast asyncio MySQL driver, which reuse most of pymysql and rewrite core with cython to speedup.

Features

  • API compatible with aiomysql.
  • Fast with cython.
  • MySQL replication protocol support.

Benchmark

The result comes from benchmark, we can know asyncmy performs well when compared to other drivers.

The device is MacBook Pro (13-inch, M1, 2020) 16G and MySQL version is 8.0.23.

benchmark

Install

Just install from pypi:

> pip install asyncmy

Usage

Use connect

from asyncmy import connect
from asyncmy.cursors import DictCursor
import asyncio


async def run():
    conn = await connect()
    async with conn.cursor(cursor=DictCursor) as cursor:
        await cursor.execute("create database if not exists test")
        await cursor.execute(
            """CREATE TABLE if not exists test.asyncmy
    (
        `id`       int primary key auto_increment,
        `decimal`  decimal(10, 2),
        `date`     date,
        `datetime` datetime,
        `float`    float,
        `string`   varchar(200),
        `tinyint`  tinyint
    )"""
        )


if __name__ == '__main__':
    asyncio.run(run())

Use pool

import asyncmy
import asyncio


async def run():
    pool = await asyncmy.create_pool()
    async with pool.acquire() as conn:
        async with conn.cursor() as cursor:
            await cursor.execute("SELECT 1")
            ret = await cursor.fetchone()
            assert ret == (1,)


if __name__ == '__main__':
    asyncio.run(run())

Replication

from asyncmy import connect
from asyncmy.replication import BinLogStream
import asyncio


async def run():
    conn = await connect()
    ctl_conn = await connect()

    stream = BinLogStream(
        conn,
        ctl_conn,
        1,
        master_log_file="binlog.000172",
        master_log_position=2235312,
        resume_stream=True,
        blocking=True,
    )
    await stream.connect()
    async for event in stream:
        print(event)


if __name__ == '__main__':
    asyncio.run(run())

ThanksTo

asyncmy is build on top of these nice projects.

  • pymysql, a pure python MySQL client.
  • aiomysql, a library for accessing a MySQL database from the asyncio.
  • python-mysql-replication, pure Python Implementation of MySQL replication protocol build on top of PyMYSQL.

License

This project is licensed under the Apache-2.0 License.

Metadata

Release files for asyncmy 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for asyncmy 0.1.4
File Size Uploaded
asyncmy-0.1.4.tar.gz 60.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for asyncmy 0.1.4
File Interpreter ABI Platform
asyncmy-0.1.4-cp39-cp39-manylinux2014_x86_64.whl CPython 3.9 CPython 3.9 Linux glibc 2.17+ x86-64 Details

Total release size: 3.2 MB

Release files / asyncmy-0.1.4.tar.gz

Download URL asyncmy-0.1.4.tar.gz
Size 60.1 kB
Tags Source
SHA-256 checksum
How to use checksums
6ffa379555b4f40f6cf1d8324ffb1b456c901942d924bd14db373c30f3a54e09
BLAKE2b-256 checksum
How to use checksums
636ed988171176fe61333199e821d20d13f821b5c994b9a99d4e67fcb21bab76
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2

Release files / asyncmy-0.1.4-cp39-cp39-manylinux2014_x86_64.whl

Download URL asyncmy-0.1.4-cp39-cp39-manylinux2014_x86_64.whl
Size 3.1 MB
Tags CPython 3.9 Linux glibc 2.17+ x86-64
SHA-256 checksum
How to use checksums
1934a7aab8dd3e944b031cbfbea1e2e3bcedea00783b20d3060501ef71547cec
BLAKE2b-256 checksum
How to use checksums
f65325decc040e226746886cccd147cbdd81a3346db6f7c2c4b00073e295d785
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.4.1 importlib_metadata/3.7.3 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.59.0 CPython/3.9.2
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page