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| examples | 14 years ago | |
| rq | 14 years ago | |
| tests | 14 years ago | |
| .gitignore | 14 years ago | |
| README.md | 14 years ago | |
| run_tests | 14 years ago | |
| setup.py | 14 years ago | |
README.md
WARNING: DON'T USE THIS IN PRODUCTION (yet)
rq — Simple job queues for Python
rq is a lightweight Python job queue, based on Redis.
Putting jobs on queues
To put jobs on queues, first declare a Python function to be called on a background process:
def slow_fib(n):
if n <= 1:
return 1
else:
return slow_fib(n-1) + slow_fib(n-2)
Notice anything? There's nothing special about a job! Any Python function can be put on an RQ queue, as long as the function is in a module that is accessible from the worker process.
To calculate the 36th Fibonacci number in the background, simply do this:
from rq import Queue
from fib import slow_fib
# Calculate the 36th Fibonacci number in the background
q = Queue()
q.enqueue(slow_fib, 36)
If you want to put the work on a specific queue, simply specify its name:
q = Queue('math')
q.enqueue(slow_fib, 36)
You can use any queue name, so you can quite flexibly distribute work to your
own desire. Common patterns are to name your queues after priorities (e.g.
high, medium, low).
Installation
Simply use the following command to install the latest released version:
pip install rq
If you want the cutting edge version (that may well be broken), use this:
pip install -e git+git@github.com:nvie/rq.git@master#egg=rq