通过python最快的ping方法？

Question

I'm looking for the fastest pinging method via python. I need to ping over 100,000 servers and my current procedure below takes approximately 85 minutes to complete. I've read small snippets about scapy, along with general ICMP and python ping. I need to know a definitive method, or at least a solid way to test, which is the fastest. I cannot test python - ping from work as it is not an approved package. I also tried a code snippet for scapy , but got an error:

OSError: Windows native L3 Raw sockets are only usable as administrator !
Install 'Winpcap/Npcap to workaround !

So I'm admittedly looking for code snippets I can test at home or ways around that error from more experienced persons

To prove I've tried, here are some related posts, as well as my current code

Current code:

import pandas as pd
import subprocess
import threading
raw_list = []
raw_list2 = []
def ping(host):
    raw_list.append(host+ ' '+ str((subprocess.run('ping -n 3 -w 800 '+host).returncode)))
with open(r"FILEPATH", "r") as server_list_file:
    hosts = server_list_file.read()
    hosts_list = hosts.split('\n')
num_threads = 100
num_threads2 = 10
num_threads3 = 1
number = 0
while number<len(hosts_list):
    print(number)
    if len(hosts_list)>number+num_threads:
        for i in range(num_threads):
            t = threading.Thread(target=ping, args=(hosts_list[number+i],))
            t.start()
        t.join()
        number = number + num_threads
    elif len(hosts_list)>(number+num_threads2):
        for i in range(num_threads2):
            t = threading.Thread(target=ping, args=(hosts_list[number+i],))
            t.start()
        t.join()
        number = number + num_threads2
    elif len(hosts_list)>(number+num_threads3-1):
        for i in range(num_threads3):
            t = threading.Thread(target=ping, args=(hosts_list[number+i],))
            t.start()
        t.join()
        number = number + num_threads3
    else:
        number = number+1
for x in range(len(raw_list)):
    if(raw_list[x][-1] == '0'):
        raw_list2.append(raw_list[x][0:-2])
to_csv_list = pd.DataFrame(raw_list2)
to_csv_list.to_csv('ServersCsv.csv', index = False, header = False)
to_csv_list.to_csv(r'ANOTHERFILEPATH', index = False, header = False) 
subprocess.call(r'C:\ProgramData\Anaconda3\python.exe "A_PROGRAM_THAT_INSERTS_INTO_SQL"')

This does exactly what I need, however, it does not do it quickly enough.

I've tried the very small snippet:

from scapy.all import *
packets = IP(dst=["www.google.com", "www.google.fr"])/ICMP()
results = sr(packets)

resulting in gaierror: [Errno 11001] getaddrinfo failed

I've also tried:

TIMEOUT = 2
conf.verb = 0
packet = IP("ASERVERNAME", ttl=20)/ICMP()
reply = sr1(packet, timeout=TIMEOUT)
if not (reply is None):
     print(reply.dst + "is online")
else:
     print("Timeout waiting for %s") % packet[IP].dst

resulting in:

OSError: Windows native L3 Raw sockets are only usable as administrator !
Install Winpcap/Npcap to workaround !

A few links I looked at but could not garner a solid answer from:

Ping a site in Python?

Fastest way to ping a host in python?

Answer 1

This only solves the Python part. The comments are very right.

OSError: Windows native L3 Raw sockets are only usable as administrator ! Install Winpcap/Npcap to workaround !

I find this pretty damn explicit. If you follow's Scapy documentation for windows it says you need to install Npcap . https://nmap.org/npcap/

Other than that,

packets = IP(dst=["www.google.com", "www.google.fr"])/ICMP()
results = sr(packets)

Is likely the cleanest way to go. Works on my machine.. make sure you're using the latest development version from GitHub (unzip it and install it via python setup.py install ).

If you are using the latest version , you might even want to turn on threaded=True in sr() to send and receive packets on two threads, as pointed out by the comments. You might also want to use prn and store=False to not store the answers (100k is a lot)