Zatt is a distributed storage system built on the Raft consensus algorithm.
By default, clients share a dict
data structure, although every python object
is potentially replicable with the pickle
state machine.
Please note that the client is compatible with both python2
and python3
,
while the server makes heavy use of the asynchronous programming library
asyncio
and is therefore python3-only. This won't affect compatibility with
legacy code since the server is standalone.
The most relevant part of the code concerning Raft is in the states and in the log files.
TODO: extend
Both the server and the client are shipped in the same package (Note: this link won't work until the project is public).
Zatt can be installed by several means:
$ pip3 install zatt
. (Note: this won't work until the project is public).
$ pip3 install git+ssh://github.com/simonacca/zatt.git@develop
$ git clone git@github.com:simonacca/zatt.git
$ cd zatt
$ git checkout develop
$ python3 setup.py install
Regardless of the installation method, $ zattd --help
should work at this point.
This screencast shows a basic usage of the code. The code run can be found below.
A server can be configured with command-line options or with a config file, in this example, we are going to use both.
First, create an empty folder and enter it:
$ mkdir zatt_cluster && cd zatt_cluster
.
Now create a config file zatt.conf
with the following content:
{"cluster": {
"0": ["127.0.0.1", 5254],
"1": ["127.0.0.1", 5255],
"2": ["127.0.0.1", 5256]
}
}
You can now run the first node:
$ zattd -c zatt.conf --id 0 -s zatt.0.persist --debug
This tells zattd to run the node with id:0
, taking the info about address and port from the config file.
Now you can spin up a second node: open another terminal, navigate to zatt_cluster
and issue:
$ zattd -c zatt.conf --id 2 -s zatt.2.persist --debug
Repeat for a third node, this time with id:2
To interact with the cluster, we need a client. Open a python interpreter ($ python
) and run the following commands:
In [1]: from zatt.client import DistributedDict
In [2]: d = DistributedDict('127.0.0.1', 5254)
In [3]: d['key1'] = 0
Let's retrieve key1
from a second client:
Open the python interpreter on another terminal and run:
In [1]: from zatt.client import DistributedDict
In [2]: d = DistributedDict('127.0.0.1', 5254)
In [3]: d['key1']
Out[3]: 0
In [4]: d
Out[4]: {'key1': 0}
Please note that in order to erase the log of a node, the corresponding zatt.{id}.persist
folder has to be removed.
Also note that JSON, currently used for serialization, only supports keys of type str
and values of type int, float, str, bool, list, dict
.
In order to run the tests:
- clone the repo if you haven't done so already:
git clone git@github.com:simonacca/zatt.git
- navigate to the test folder:
cd zatt/tests
- execute:
python3 run.py
TODO
TODO