Marat Sharafutdinov <deca...@gmail.com> added the comment:
But why if I use multiprocessing (run 100 tasks by 100 workers) it still
continue blocking loop within some workers? Are 100 tasks "a lot of work" for
asyncio loop?
```python
import asyncio
from multiprocessing import Process
worker_count = 100
task_count = 100
def worker_main(worker_id):
async def main():
for x in range(1, task_count + 1):
asyncio.ensure_future(f(x))
async def f(x):
if x % 1000 == 0 or x == task_count:
print(f'[WORKER-{worker_id}] Run f({x})')
await asyncio.sleep(1)
loop.call_later(1, lambda: asyncio.ensure_future(f(x)))
loop = asyncio.get_event_loop()
loop.set_debug(True)
loop.run_until_complete(main())
loop.run_forever()
if __name__ == '__main__':
for worker_id in range(worker_count):
worker = Process(target=worker_main, args=(worker_id,), daemon=True)
worker.start()
while True:
pass
```
----------
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Python tracker <rep...@bugs.python.org>
<https://bugs.python.org/issue33115>
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