I don't have a problem, but I want to ask something about icmplib HOT 2 CLOSED

Hi @TylerIO,

There's nothing wrong with using threads to parallelize your code. icmplib also used them in versions lower than v3 before replacing them with asyncio more suitable for network operations of this nature.

Performance wise you should have something similar be it with asyncio. The differences you get are due to the fact that you are creating 10000 concurrent threads while the multiping function limits concurrent operations to 50 by default (concurrent_tasks parameter) to limit CPU usage.

Try these parameters instead (you may be limited by your CPU):

multiping(['1.1.1.1'] * 10000, count=1, concurrent_tasks=10000, privileged=False) # 10000 concurrent tasks
multiping(['1.1.1.1'] * 10000, count=1, concurrent_tasks=float('inf'), privileged=False) # infinite number of concurrent tasks

If you want to learn more about asyncio, I recommend you to read this article: https://realpython.com/async-io-python/
If you're not comfortable with them or you don't want to use the multiping function, threads may do the job just fine!

I hope I was able to help you.

from icmplib.

Thanks a lot for the answer. Once again, I repeat. Your module is amazing

from icmplib.