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An AsyncIO bridge for Python's DBM library.
|release| |python| |tests| |codecov| |docs| |pre-commit| |Code style: black|
aiodbm is a library that allows you to use DBM in asyncio code.
DBM <https://en.wikipedia.org/wiki/DBM_(computing)>
_ is a fast and easy to use, embedded key-value store.
It is supported by Python's standard library [1]_ and can be used on most systems without requiring additional dependencies [2]_.
Compared to Sqlite - the other embedded database supported by Python's standard library - it is significantly faster when used as key/value store.
In our measurements we see that aiodbm is hundreds or times faster for writes and more then three faster for reads compared to aiosqlite [3]_:
.. image:: https://raw.githubusercontent.com/ErikKalkoken/aiodbm/main/measurements/measurements.png :width: 800 :alt: Throughput measurements for aiodbm vs. aiosqlite
So if you are on a Linux system and need a fast and an easy to use embedded key-value store for asyncio, aiodbm can be a good solution.
On non Linux-like systems DBM is usually not available and Python will fall back on it's "dumb" DBM implementation. While DBM's core functionality still works, that implementation is be much slower.
Python's DBM library is not process safe. If you need a key-value store in a multi process context (e.g. a web server running with gunicorn) we'd recommend to use Redis or something similar instead.
Here is a basic example on how to use the library:
.. code:: python
import asyncio
import aiodbm
async def main(): # opening/creating database async with aiodbm.open("example.dbm", "c") as db:
# creating new key alpha with value green
await db.set("alpha", "green")
# fetching value for key alpha
value = await db.get("alpha")
print(value)
# delete key alpha
await db.delete("alpha")
asyncio.run(main())
You can install this library directly from PyPI with the following command:
.. code:: shell
pip install aiodbm
.. [1] See also Python's DBM module: https://docs.python.org/3/library/dbm.html
.. [2] The newer DBM variants GDBM or NDBM are preinstalled on most Linux/Unix systems: https://en.wikipedia.org/wiki/DBM_(computing)#Availability
.. [3] We compared asyncio compatible key/value stores on Linux with GDBM. See also measurements folder for more details.
.. _DBM: https://en.wikipedia.org/wiki/DBM_(computing) .. _benchmark: https://charlesleifer.com/blog/completely-un-scientific-benchmarks-of-some-embedded-databases-with-python/
.. |release| image:: https://img.shields.io/pypi/v/aiodbm?label=release :target: https://pypi.org/project/aiodbm/ .. |python| image:: https://img.shields.io/pypi/pyversions/aiodbm :target: https://pypi.org/project/aiodbm/ .. |tests| image:: https://github.com/ErikKalkoken/aiodbm/actions/workflows/main.yml/badge.svg :target: https://github.com/ErikKalkoken/aiodbm/actions .. |codecov| image:: https://codecov.io/gh/ErikKalkoken/aiodbm/branch/main/graph/badge.svg?token=V43h7hl1Te :target: https://codecov.io/gh/ErikKalkoken/aiodbm .. |docs| image:: https://readthedocs.org/projects/aiodbm/badge/?version=latest :target: https://aiodbm.readthedocs.io/en/latest/?badge=latest .. |pre-commit| image:: https://img.shields.io/badge/pre--commit-enabled-brightgreen?logo=pre-commit&logoColor=white :target: https://github.com/pre-commit/pre-commit .. |Code style: black| image:: https://img.shields.io/badge/code%20style-black-000000.svg :target: https://github.com/psf/black
FAQs
An AsyncIO bridge for DBM.
We found that aiodbm demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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