How to run celery on windows?

How to run celery worker on Windows without creating Windows Service? Is there any analogy to $ celery -A your_application worker?

Answers:

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Method 1

Celery 4.0+ does not officially support window already. But it still works on window for some development/test purpose.

Use eventlet instead as below:

pip install eventlet
celery -A <module> worker -l info -P eventlet

It works for me on window 10 + celery 4.1 + python 3.

This solution solved the following exception:

[2017-11-16 21:19:46,938: ERROR/MainProcess] Task handler raised error: ValueError('need more than 0 values to unpack',)
Traceback (most recent call last):
  File "c:userswchen8workvenvweinstalibsite-packagesbilliardpool.py", line 358, in workloop
    result = (True, prepare_result(fun(*args, **kwargs)))
  File "c:userswchen8workvenvweinstalibsite-packagesceleryapptrace.py", line 525, in _fast_trace_task
    tasks, accept, hostname = _loc
ValueError: need more than 0 values to unpack

===== update 2018-11 =====

Eventlet has an issue on subprocess.CalledProcessError:

https://github.com/celery/celery/issues/4063

https://github.com/eventlet/eventlet/issues/357

https://github.com/eventlet/eventlet/issues/413

So try gevent instead.

pip install gevent
celery -A <module> worker -l info -P gevent

This works for me on window 10 + celery 4.2 + python 3.6

Method 2

yes:

celery -A your_application -l info

also note Celery have dropped support for Windows(since v4), so best to

pip install celery==3.1.25

3.1.25 was the last version that works on windows(just tested on my win10 machine). Didn’t need to downgrade flower(browser monitor for celery) though.

See also the FAQ for Windows

Method 3

There are two workarounds to make Celery 4 work on Windows:

• use eventlet, gevent or solo concurrency pool (if your tasks as I/O and not CPU-bound)
• set the environment variable FORKED_BY_MULTIPROCESSING=1 (this is what actually causes the underlying billiard package to to fail under Windows since version 4)

See https://www.distributedpython.com/2018/08/21/celery-4-windows for more details

Method 4

Compile Celery with –pool=solo argument.

Example:
celery -A your-application worker -l info --pool=solo

Method 5

I have run celery task using RabbitMQ server.
RabbitMq is better and simple than redis broker

while running celery use this command “celery -A project-name worker –pool=solo -l info”
and avoid this command “celery -A project-name worker –loglevel info”

Method 6

It’s done the same way as in Linux. Changing directory to module containing celery task and calling "c:pythonpython" -m celery -A module.celery worker worked well.

Method 7

You can still use celery 4 0+ with Windows 10+
Just use this command “celery -A projet worker – -pool=solo – l info” instead of “celery – A project worker -l info

Method 8

Celery 4.0+ does not officially support window already. But it still works on window for some development/test purpose.
you can use any of this:

celery worker --app=app.app --pool=eventlet --loglevel=INFO

celery worker --app=app.app --pool=gevent --loglevel=INFO

celery worker --app=app.app --pool=solo --loglevel=INFO

or using other format:

celery -A <app> worker --loglevel=info -P eventlet

celery -A <app> worker --loglevel=info -P gevent 

celery -A <app> worker --loglevel=info -P solo

if you have get context error then upgrade gevent 20.6.2 and eventlet to 0.26.1 or use solo

https://www.distributedpython.com/2018/08/21/celery-4-windows/

Method 9

You can run celery on windows without an extra library by using threads

celery -A your_application worker -P threads

Method 10

I’ve made a .bat file besides my manage.py file with this code:

title CeleryTask
::See the title at the top.
cd 
cmd /k celery -A MainProject worker -l info

so each time I want to run celery, I just double-click this batch file and it runs perfectly.
And the fact that you can’t use celery 4 on windows is true.

Method 11

After feeling like killing myself by using celery 4.4 on windows, I think I can answer this question.

For celery version 4.0 and above, first set following environment variable in python code before creation of celery instance.

os.environ.setdefault('FORKED_BY_MULTIPROCESSING', '1')

Then run celery worker command with default pool option.

celery worker -A <celery_file> -l info

This will run celery worker concurrently with multiple child processes.

Note: When you run celery with gevent or eventlet pool, it will work but it won’t run concurrent processes on windows.

Method 12

To run celery on windows for development. you have two methods.

1. Use Windows as Host Machine.

• Install Redis Server from https://github.com/dmajkic/redis/downloads
• Run redis_server.exe
• Install Celery using Pip install Celery.
• Run Celery commands.

Limitations:

• This method is only supported for Python 3.6 or lower.
• Celery 4 does not provide support for windows.
• will be using Old Redis-server Version.
• Hard to manage

4. Using WSL for running Celery and Redis-server

• Install WSL using this guide https://www.windowscentral.com/install-windows-subsystem-linux-windows-10.
• Install redis-server using sudo apt install redis-server on the WSL terminal.
• Install Celery and Execute all celery-related commands on WSL.

WSL would be a friend for you on windows if you have already familiar with Linux.
With few limitations including support of Docker on WSL. you can perform most of the Development tasks using WSL.

All methods was sourced from stackoverflow.com or stackexchange.com, is licensed under cc by-sa 2.5, cc by-sa 3.0 and cc by-sa 4.0