带进程的 Python Apscheduler（多处理）

Question

I am trying to run processes (multiprocessing module) through the Apscheduler module

    sched = BackgroundScheduler(executors=executors)
    sched.add_listener(my_listener, EVENT_JOB_EXECUTED | EVENT_JOB_ERROR)
    #sched.add_job(run_processes, trigger='cron', hour='14', minute='06')
    sched.add_job(run_processes) # starts it a once
    sched.start()

run_processes looks like this

def run_processes():

print ("starting p1")
print ("starting p2")    
##run_process_1()
##run_process_2()
p1 = Process(target = run_process_1, args = ())
p2 = Process(target = run_process_2, args = ())

p1.start()
p2.start()

print p1, p1.is_alive()
print p2, p2.is_alive()
p1.join()
p2.join()
print ("finished")

When I start run_processes() without the Apscheduler it runs normal. When I run it through the Apscheduler the processes seems to start (there are new Python instances), but then seem to wait or hang doing nothing.

Does anybody know of a problem there and possibly how to resolve it?

Answer 1

You can try simple-scheduler . It has the capacity to spawn child processes, without any effort.

from simple_scheduler.recurring import recurring_scheduler
from multiprocessing import Process

def f1():
    print("Hi")
    
def f2():
    print("...")

def run_processes():
    p1 = Process(target = f1)
    p1.start()
    p2 = Process(target = f2)
    p2.start()
    p1.join()
    p2.join()
    print("finished")

recurring_scheduler.add_job(target=run_processes,
                            period_in_seconds=5,
                            job_name="run_processes")
recurring_scheduler.job_summary()
recurring_scheduler.run()
recurring_scheduler.job_summary()

The output is

run_processes [recurring | 5-second(s)] running in 11870
Hi
...
finished
Hi
...
finished
Hi
...
finished