Clossyne – short for Cloud Storage System and named after Mnemosyne, the greek goddess of memory – is a distributed key-value storage based on binary search-tress. It can be easily accessed by a dictionary-based data access API and is written in Scala with the Akka framework incorporating the Actor model.
It allows for fast and efficient data storage and retrieval by utilizing a binary search tree structure and assigning each node of the tree to an individual actor.
Run the following command in terminal
docker run -v /tmp/clossyne:/tmp/clossyne -e CLOSSYNE_HOST="0.0.0.0" -p 4297:4297 christophsonntag/clossyne:1.0
This will pull a prepared image from the Docker Hub and run it. The log files will be stored in /tmp/closssyne.
After that, navigate to clossyne-py/, create a virtual environment and install the package:
python3 -m venv env
source env/bin/activate
pip install .
Import clossyne and use the Clossyne class in a with-context:
>>> with clossyne.Clossyne('localhost', 4297) as c:
c.set("foo", "bar")
True
>>> with clossyne.Clossyne('localhost', 4297) as c:
c.get("foo")
'bar'
>>> with clossyne.Clossyne('localhost', 4297) as c:
c.get("foobar")
None
>>> with clossyne.Clossyne('localhost', 4297) as c:
c.delete("foo")
True
>>> with clossyne.Clossyne('localhost', 4297) as c:
c.get("foo")
None
Alternatively, download the FraudTrain dataset and
put it in test/data/. You can run
python3 test.py
in order to perform the commands required for the Test Class Report. Please follow the README files in the respective directories for further information.
This is a toy project, done for educational purposes – nothing more.