meesee 0.9.4

Task queue, Long lived workers process parallelization, with Redis as backend

Meesee

Task queue, Long lived workers process parallelization, with Redis as backend. The project is still used in production and has to knowlegde been used in 3 companies in production setting.

Examples

Create my_func that will

1. print starting message.
2. Sleep 1 second.
3. print a ending message.

Let's start 10 of those.

import time
from meesee import startapp

def my_func(item, worker_id):
    print("hello, look at me")
    time.sleep(1)
    print('finished item', locals())


startapp(my_func, workers=10)

Open another terminal, Let's produce some tasks

from meesee import RedisQueue, config

def produce(items):
    r = RedisQueue(**config)
    for i in range(items):
        r.send(i)

produce(10)

Great, the placement of both scripts can be on any machine with connectivity to the redis instance.

Prerequisites

Redis

For Debian, Ubuntu

sudo apt-get install redis-server

For Centos, Red Hat

sudo yum install redis

Installing

Create a virtualenv for your project. Install meesee:

$ . /path/to/virtualenv/bin/activate
$  pip install meesee

Authors

• Melvin Bijman
• Mark Moes

License

This project is licensed under the MIT License - see the LICENSE file for details