๐Ÿฐ ConnectMP - An easy and efficient way to share data between Processes in Python.

Overview

ConnectMP - Taking Multi-Process Data Sharing to the moon ๐Ÿš€

Contribute ยท Community ยท Documentation


๐ŸŽซ Introduction :

๐Ÿค ConnectMP is the easiest and efficient way to share data between Processes. It's superfast, can handle big datas, can create multiple data connection and really simple to get started. ๐Ÿฐ

๐Ÿฅ ConnectMP is created out of pure Frustration of not being able to find a good solution to comminucate between Processes ๐Ÿฅจ

๐Ÿฅ— Installation :

via pip (recommended) :

pip install connectmp

๐Ÿง‡ Quickstart : (Docs)

โš  Please read till the end to find what you're looking for!

๐Ÿค connectmp.Process :

from connectmp import Process

This Process class is same as multiprocessing.Process, it's just modified. So, just use connectmp.Process where you would use multiprocessing.Process

import time
from connectmp import Process


def do_something(connection):
    connection.data = "Sending Some Data."


def track_data(connection):
    time.sleep(1)
    print(f"Track i: {connection.data}")


if __name__ == '__main__':
    p1 = Process(target=do_something, connection=True)
    p2 = Process(target=track_data, args=(p1.connection,))

    p1.start()
    p2.start()

Just let me explain what's happening here. we have 2 functions, one is do_something which just sends data and track_data which recieves the data and print's it. You can see in p1 we are not pasing any argument but our function do_something requires a connection argument.

When you enable Process(connection=True) Your target function will recieve a keyword-argument value named connection which's value will contain the Connection object. This Connection object is an individual connection. But You can of course share this connection with other process.

in p2 we shared the connection of our p1 by p1.connection which returns the connection object of p1. In track_data function we just recieve the data from p1.connection. You can send and recieve data from and to each other.

And yeah to send data all you do is assign the data to connection.data and also to get data you have to do it with connection.data

โš  HOLD ON! You might also be looking for something like this down below!

So, if you're wondering if we can create Conenction seperately without creting Process object? ๐ŸŽ‰ YES! YES YOU CAN! with:

๐Ÿฅจ connectmp.Connection

from connectmp import Connection

You can create your own Connection with this. Let me show you how:

from connectmp import Connection

connection = Connection()

that's it! ๐ŸŽ‰ You can create multiple Connection! To use it just do it like how we did before, pass it as an argument and use it anywhere you want ๐Ÿฅ‚

โš  NOTE: Make sure Process(connection=True) is not enabled, or it will conflict with your function params. turn Process(connection=True) when you want to create another Connection and get it in the function as an argument('connection').

๐ŸŒฎ Example:

import time
from connectmp import Process, Connection


def do_something(connection):
    connection.data = "Sending Some Data."


def track_data(connection):
    time.sleep(1)
    print(f"Track i: {connection.data}")


if __name__ == '__main__':
    conn = Connection()  # Creating connection
    
    p1 = Process(target=do_something, args=(conn,))
    p2 = Process(target=track_data, args=(conn,))

    p1.start()
    p2.start()

Now each Process can communicate with each other! That's all you need to know about ConnectMP. Hope this helped you ๐ŸŽ‰

๐ŸŒŸ Back to Top

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Releases(v1.1.0)
  • v1.1.0(Dec 24, 2021)

  • v1.0.0(Dec 24, 2021)

  • v0.1.1(Dec 22, 2021)

    ๐Ÿฉ What's new in ConnectMP v0.1.1 :

    • Now defaultly supports multithreaded Connection
    • Fixed some bugs
    • Added support for command 'connectmp'
    • Can change config with command
    Source code(tar.gz)
    Source code(zip)
  • v0.1.0(Dec 21, 2021)

    ๐Ÿง‡ Official First Release Of ConnectMP

    • ConnectMP.Process
    • ConnectMP.Connection

    โœ… Share data between Processes. โœ… Share big data. โœ… Low latency. โœ… Ability to create Connection separately. โœ… Works in all System

    Source code(tar.gz)
    Source code(zip)
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