Can we run multiple APScheduler jobs parallely?

[viniciuschiele]

Can we run multiple APScheduler jobs parallely?

[viniciuschiele]

Hi @mrabhiram

Your jobs above are running parallely, each job runs on its own thread, the default is 10 max concurrent threads.

This code below (python 3+) shows that each job is running in a different thread.

import threading

def job1(a, b):
    print(threading.current_thread().name)
    print(str(a) + ' ' + str(b))

[mrabhiram]

Okay, Thank you. Can i change the max concurrent threads? if so , where do i do that?

[viniciuschiele]

You have to explicitly set an executor in your config object.

class Config(object):
    JOBS = [
        {
            'id': 'job1',
            'func': 'jobs:job1',
            'args': (1, 2),
            'trigger': 'interval',
            'seconds': 10
        },
       {
            'id': 'job2',
            'func': 'jobs:job1',
            'args': (3, 4),
            'trigger': 'interval',
            'seconds': 10
        }
    ]

    SCHEDULER_EXECUTORS = {
        'default': {'type': 'threadpool', 'max_workers': 20}
    }

    SCHEDULER_API_ENABLED = True

[mrabhiram]

Thank you. Can many workers is the max that APScheduler can handle? Or the max is only 20?

[viniciuschiele]

There isn't a limit for the number of workers, it's up to you.

[mrabhiram]

Awesome. Thanks!