Skip to main content

Asyncio middleware for SQLAlchemy

Project description

The aiopg and aiomysql projects allow to operate asynchronously with PostgresQL and MySQL, respectively, even thru SQLAlchemy. Their approach isn’t ideal, though, because they reimplement a considerable amount of SA low level stuff with undesirable glitches.

The Twisted based Alchimia way is much lighter and even if maybe slightly less performant it does not introduce unexpected surprises.

Usage

Basically the module wraps a minimal set of SA classes (currently just Engine, Connection, Transaction and ResultProxy) into asyncronous counterparts, and you work on them like the following example:

from asyncio import coroutine
from metapensiero.sqlalchemy.asyncio import create_engine

@coroutine
def do_something(db_url):
    engine = create_engine(db_url)
    with (yield from engine.connect()) as conn:
        with (yield from conn.begin()) as trans:
            yield from conn.execute(users.insert()
                                    .values(id=42, name="Async",))

        res = yield from conn.execute(users.select()
                                      .where(users.c.id == 42))
        rows = yield from res.fetchall()

        res = yield from conn.execute(users.delete()
                                      .where(users.c.id == 42))
        assert res.rowcount == 1

If you are using Python 3.5 or better, the above should be written as:

from metapensiero.sqlalchemy.asyncio import create_engine

async def do_something(db_url):
    engine = create_engine(db_url)
    async with await engine.connect() as conn:
        async with await conn.begin() as trans:
            await conn.execute(users.insert()
                               .values(id=42, name="Async",))

        res = await conn.execute(users.select()
                                 .where(users.c.id == 42))
        rows = await res.fetchall()

        res = await conn.execute(users.delete()
                                 .where(users.c.id == 42))
        assert res.rowcount == 1

Tests

To run the unit tests, you should:

  1. create a Python virtual environment and install this package in development mode:

    python3 -m venv env
    source env/bin/activate
    python setup.py develop
  2. install pytest, pytest-asyncio and either psycopg2-binary or pymysql:

    pip install pytest pytest-asyncio psycopg2-binary pymysql
  3. create a test database, for example with createdb testdb

  4. execute the py.test runner with an environment variable with the SA URL of the db:

    TEST_DB_URL="postgresql://localhost/testdb" py.test tests
    TEST_DB_URL="mysql+pymysql://localhost/testdb" py.test tests

Changes

1.0 (2018-07-01)

  • Renamed to metapensiero.sqlalchemy.asyncio

0.4 (2015-09-25)

  • Packaging tweaks

0.3 (2015-09-23)

  • Support Python 3.5 asynchronous context managers

0.2 (2015-09-09)

  • First (usable) distribution on PyPI

0.1 (private)

Works reasonably well!

0.0 (private)

Initial effort.

Project details


Release history Release notifications | RSS feed

This version

1.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

metapensiero.sqlalchemy.asyncio-1.0.tar.gz (6.4 kB view details)

Uploaded Source

File details

Details for the file metapensiero.sqlalchemy.asyncio-1.0.tar.gz.

File metadata

File hashes

Hashes for metapensiero.sqlalchemy.asyncio-1.0.tar.gz
Algorithm Hash digest
SHA256 806b58f1b18ffe1d1836d06bde2472eae4f2dfa719195dac04875130a5431cee
MD5 690a670d7ece5f985ed0d9f63063e4bb
BLAKE2b-256 2e1b54ab947af9056d7c4307b9dcda4428e1f0db839a4a5eb02423d1b1323ec9

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page