Python Flask Server generating too many new threads
I have a Python Flask server running on Python 3.6.6 that generates new threads for some reason. This is my code:
# Packages and Modules
import os
import threading, time
from config import config
from Modeller.Modeller import Modeller
# Job scheduler function
def run_job(Modeller, config):
while True:
print("Run recurring task")
print(threading.enumerate())
modeller = Modeller(config) # Initiate modeller with config
modeller.run()
time.sleep(modeller.config['settings']['delay'])
# Start thread for calling function repeatedly
thread = threading.Thread(name='modelling', target=run_job, daemon=True, args=[Modeller, config])
thread.start()
The first log generates:
[<_MainThread(MainThread, started 140381841954560)>, <Thread(modelling, started daemon 140381169248000)>]
But after a few runs it generates:
[<_MainThread(MainThread, started 140381841954560)>, <Thread(modelling, started daemon 140381169248000)>, <Thread(Thread-1, started daemon 140381017106176)>, <Thread(Thread-2, started daemon 140380804740864)>, <Thread(Thread-3, started daemon 140380796348160)>, <Thread(Thread-4, started daemon 140380786644736)>, <Thread(Thread-5, started daemon 140380778252032)>]
The only threads that should be listed are MainThread and modelling? What am I doing wrong?
python python-3.x multithreading python-multithreading
add a comment |
I have a Python Flask server running on Python 3.6.6 that generates new threads for some reason. This is my code:
# Packages and Modules
import os
import threading, time
from config import config
from Modeller.Modeller import Modeller
# Job scheduler function
def run_job(Modeller, config):
while True:
print("Run recurring task")
print(threading.enumerate())
modeller = Modeller(config) # Initiate modeller with config
modeller.run()
time.sleep(modeller.config['settings']['delay'])
# Start thread for calling function repeatedly
thread = threading.Thread(name='modelling', target=run_job, daemon=True, args=[Modeller, config])
thread.start()
The first log generates:
[<_MainThread(MainThread, started 140381841954560)>, <Thread(modelling, started daemon 140381169248000)>]
But after a few runs it generates:
[<_MainThread(MainThread, started 140381841954560)>, <Thread(modelling, started daemon 140381169248000)>, <Thread(Thread-1, started daemon 140381017106176)>, <Thread(Thread-2, started daemon 140380804740864)>, <Thread(Thread-3, started daemon 140380796348160)>, <Thread(Thread-4, started daemon 140380786644736)>, <Thread(Thread-5, started daemon 140380778252032)>]
The only threads that should be listed are MainThread and modelling? What am I doing wrong?
python python-3.x multithreading python-multithreading
How does this code relate to Flask? What is calling or importing this?
– Daniel Roseman
Nov 26 '18 at 10:29
I think you should provide the full code to show how this code used with Flask.
– Bumsik Kim
Nov 26 '18 at 10:46
Do you override the threading config of Flask? Do you start new threads inmodeller.run?
– Adonis
Nov 26 '18 at 17:41
add a comment |
I have a Python Flask server running on Python 3.6.6 that generates new threads for some reason. This is my code:
# Packages and Modules
import os
import threading, time
from config import config
from Modeller.Modeller import Modeller
# Job scheduler function
def run_job(Modeller, config):
while True:
print("Run recurring task")
print(threading.enumerate())
modeller = Modeller(config) # Initiate modeller with config
modeller.run()
time.sleep(modeller.config['settings']['delay'])
# Start thread for calling function repeatedly
thread = threading.Thread(name='modelling', target=run_job, daemon=True, args=[Modeller, config])
thread.start()
The first log generates:
[<_MainThread(MainThread, started 140381841954560)>, <Thread(modelling, started daemon 140381169248000)>]
But after a few runs it generates:
[<_MainThread(MainThread, started 140381841954560)>, <Thread(modelling, started daemon 140381169248000)>, <Thread(Thread-1, started daemon 140381017106176)>, <Thread(Thread-2, started daemon 140380804740864)>, <Thread(Thread-3, started daemon 140380796348160)>, <Thread(Thread-4, started daemon 140380786644736)>, <Thread(Thread-5, started daemon 140380778252032)>]
The only threads that should be listed are MainThread and modelling? What am I doing wrong?
python python-3.x multithreading python-multithreading
I have a Python Flask server running on Python 3.6.6 that generates new threads for some reason. This is my code:
# Packages and Modules
import os
import threading, time
from config import config
from Modeller.Modeller import Modeller
# Job scheduler function
def run_job(Modeller, config):
while True:
print("Run recurring task")
print(threading.enumerate())
modeller = Modeller(config) # Initiate modeller with config
modeller.run()
time.sleep(modeller.config['settings']['delay'])
# Start thread for calling function repeatedly
thread = threading.Thread(name='modelling', target=run_job, daemon=True, args=[Modeller, config])
thread.start()
The first log generates:
[<_MainThread(MainThread, started 140381841954560)>, <Thread(modelling, started daemon 140381169248000)>]
But after a few runs it generates:
[<_MainThread(MainThread, started 140381841954560)>, <Thread(modelling, started daemon 140381169248000)>, <Thread(Thread-1, started daemon 140381017106176)>, <Thread(Thread-2, started daemon 140380804740864)>, <Thread(Thread-3, started daemon 140380796348160)>, <Thread(Thread-4, started daemon 140380786644736)>, <Thread(Thread-5, started daemon 140380778252032)>]
The only threads that should be listed are MainThread and modelling? What am I doing wrong?
python python-3.x multithreading python-multithreading
python python-3.x multithreading python-multithreading
edited Nov 26 '18 at 10:33
danielo
asked Nov 26 '18 at 10:25
danielodanielo
287215
287215
How does this code relate to Flask? What is calling or importing this?
– Daniel Roseman
Nov 26 '18 at 10:29
I think you should provide the full code to show how this code used with Flask.
– Bumsik Kim
Nov 26 '18 at 10:46
Do you override the threading config of Flask? Do you start new threads inmodeller.run?
– Adonis
Nov 26 '18 at 17:41
add a comment |
How does this code relate to Flask? What is calling or importing this?
– Daniel Roseman
Nov 26 '18 at 10:29
I think you should provide the full code to show how this code used with Flask.
– Bumsik Kim
Nov 26 '18 at 10:46
Do you override the threading config of Flask? Do you start new threads inmodeller.run?
– Adonis
Nov 26 '18 at 17:41
How does this code relate to Flask? What is calling or importing this?
– Daniel Roseman
Nov 26 '18 at 10:29
How does this code relate to Flask? What is calling or importing this?
– Daniel Roseman
Nov 26 '18 at 10:29
I think you should provide the full code to show how this code used with Flask.
– Bumsik Kim
Nov 26 '18 at 10:46
I think you should provide the full code to show how this code used with Flask.
– Bumsik Kim
Nov 26 '18 at 10:46
Do you override the threading config of Flask? Do you start new threads in
modeller.run?– Adonis
Nov 26 '18 at 17:41
Do you override the threading config of Flask? Do you start new threads in
modeller.run?– Adonis
Nov 26 '18 at 17:41
add a comment |
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How does this code relate to Flask? What is calling or importing this?
– Daniel Roseman
Nov 26 '18 at 10:29
I think you should provide the full code to show how this code used with Flask.
– Bumsik Kim
Nov 26 '18 at 10:46
Do you override the threading config of Flask? Do you start new threads in
modeller.run?– Adonis
Nov 26 '18 at 17:41