Last active
October 20, 2024 19:56
-
-
Save 1st1/f110d5e2ade94e679c4442e9b6d117e1 to your computer and use it in GitHub Desktop.
asyncio queues example
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import asyncio | |
import random | |
import time | |
async def worker(name, queue): | |
while True: | |
# Get a "work item" out of the queue. | |
sleep_for = await queue.get() | |
# Sleep for the "sleep_for" seconds. | |
await asyncio.sleep(sleep_for) | |
# Notify the queue that the "work item" has been processed. | |
queue.task_done() | |
print(f'{name} has slept for {sleep_for:.2f} seconds') | |
async def main(): | |
# Create a queue that we will use to store our "workload". | |
queue = asyncio.Queue() | |
# Generate random timings and put them into the queue. | |
total_sleep_time = 0 | |
for _ in range(20): | |
sleep_for = random.uniform(0.05, 1.0) | |
total_sleep_time += sleep_for | |
queue.put_nowait(sleep_for) | |
# Create three worker tasks to process the queue concurrently. | |
tasks = [] | |
for i in range(3): | |
task = asyncio.create_task(worker(f'worker-{i}', queue)) | |
tasks.append(task) | |
# Wait until the queue is fully processed. | |
started_at = time.monotonic() | |
await queue.join() | |
total_slept_for = time.monotonic() - started_at | |
# Cancel our worker tasks. | |
for task in tasks: | |
task.cancel() | |
print('====') | |
print(f'3 workers slept in parallel for {total_slept_for:.2f} seconds') | |
print(f'total expected sleep time: {total_sleep_time:.2f} seconds') | |
asyncio.run(main()) |
great examples guys. this was simple and clear to understand. sadly, i don't think this is going to help speed up my networked API calls as they are just limited by network speed and the GIL, global interpreter lock, of python.
edit: so this is literally just the example from the python documentation
It's not just the example from the python docs. It's the example for the Python documentation. Jury is one of Python's core devs, and co-author of Asyncio, and author of the async/await syntax.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
great examples guys. this was simple and clear to understand. sadly, i don't think this is going to help speed up my networked API calls as they are just limited by network speed and the GIL, global interpreter lock, of python.
edit: so this is literally just the example from the python documentation
https://docs.python.org/3/library/asyncio-queue.html