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QueueUp -- Is an entirely integrated queue interface over kombu to completely include all settings inside of a single object.
The reason we use kombu
and AMQP as a whole is to allow for complex objects and delivery guaruntees we normally wouldn't get with much newer platforms.
You'd use the QueueUp
library in the exact way you'd use the queue.Queue
library. Let's look at the difference.
An example for python's queue
import time
import random
import threading
from queue import Queue
# We're starting two threading daemons,
# 1. one that pushes information into a queue,
# 2. the other that reads information from the queue then publishes it
def queue_pusher(q):
while True:
q.put(random.randint(0, 1000))
time.sleep(0.05)
def queue_reciever(q):
while True:
qitem = q.get(block=True)
print(f"Printing {item}")
time.sleep(0.05)
if __name__ == "__main__":
common_queue = Queue()
threading.Thread(target=queue_pusher, daemon=True, args=(common_queue,)).start()
threading.Thread(target=queue_reciever, daemon=True, args=(common_queue,)).start()
# Now the two queues will communicate with each other.
while True:
time.sleep(5)
An example for QueueUp
import time
import random
import threading
from queueup import Queue
# We're starting two threading daemons,
# 1. one that pushes information into a queue,
# 2. the other that reads information from the queue then publishes it
def queue_pusher(q):
while True:
q.put(random.randint(0, 1000))
time.sleep(0.05)
def queue_reciever(q):
while True:
qitem = q.get(block=True)
print(f"Printing {item}")
time.sleep(0.05)
if __name__ == "__main__":
common_queue = Queue() # w/o parameters it returns a multiprocessing.Queue()
threading.Thread(target=queue_pusher, daemon=True, args=(common_queue,)).start()
threading.Thread(target=queue_reciever, daemon=True, args=(common_queue,)).start()
# Now the two queues will communicate with each other.
while True:
time.sleep(5)
FAQs
A distributed queue library layered over kombu
We found that queueup demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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