If you ran the script in the previous post, you will have found it took approximately 18 seconds to run. While that may not feel like a lot of time, what if we wanted to connect to five devices? Or ten? Our execution time will grow exponentially. What originally took seconds begins to take minutes.
So, how do we solve this problem? We use multithreading. In a nuthsell, mutlithreading enables us to run code concurrently as opposed to sequentially. As we’ll see in this post, this enables us to carry out numerous tasks in the same time it’d take us to do one.
Note: For more information on concurrency, see this Real Python article.
Writing a multithreaded script
In order to enable multithreading in our previous script, we’re going to have to make several modifications. Let’s first take a look at what the finished script looks like, and then break it down one segment at a time:
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from threading import Thread, currentThread, Lock
from queue import Queue
from datetime import datetime
from netmiko import ConnectHandler
NUM_THREADS = 3
PRINT_LOCK = Lock()
BREAKOUT_HOST_IP = "192.168.20.3"
BREAKOUT_PORTS = [9000, 9002, 9004]
COMMAND = "show ip int brief"
BASE_DEVICE_SETTINGS = {
"device_type": "cisco_ios_telnet",
"host": BREAKOUT_HOST_IP,
"port": "",
"global_delay_factor": 2,
}
def mt_print(msg):
with PRINT_LOCK:
print(msg)
def run_mt(mt_function, q, **kwargs):
num_threads = min(NUM_THREADS, len(BREAKOUT_PORTS))
for i in range(num_threads):
thread_name = f'Thread-{i}'
worker = Thread(name=thread_name, target=mt_function, args=(q, kwargs))
worker.start()
q.join()
def send_command(q, kwargs):
command = kwargs['command']
while True:
thread_name = currentThread().getName()
if q.empty():
mt_print(f"{thread_name}: Closing as there's no jobs left in the queue.")
return
device_details = q.get()
port = device_details["port"]
mt_print(f"{thread_name}: Connecting to port {port}...")
net_connect = ConnectHandler(**device_details)
mt_print(f"{thread_name}: Connected!")
mt_print(f"{thread_name}: Executing command:\n{command}")
sh = net_connect.send_command(command)
mt_print(f"{thread_name}: {port} output -\n{sh}")
mt_print(f"{thread_name}: Done!")
q.task_done()
def main():
start_time = datetime.now()
device_queue = Queue(maxsize=0)
for port in BREAKOUT_PORTS:
new_device = BASE_DEVICE_SETTINGS.copy()
new_device["port"] = port
device_queue.put(new_device)
run_mt(mt_function=send_command, q=device_queue, command=COMMAND)
print("\nElapsed time: " + str(datetime.now() - start_time))
if __name__ == '__main__':
main()
Breaking it down
Now that we’ve seen the finished, let’s break it down. Let’s start with the imports:
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from threading import Thread, currentThread, Lock
from queue import Queue
These are the libraries we’ll need. Here’s how we’ll be using them:
- Thread: Enables us to use multithreading
- currentThread: We’ll use this for debugging
- Lock: Used to ensure threads don’t interrupt one another (e.g both print a debug message at the same time)
- Queue: Works similarly to a
list
, but is much quicker when used with multithreading
Let’s now specify our constants:
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NUM_THREADS = 3
PRINT_LOCK = Lock()
BREAKOUT_HOST_IP = "192.168.20.3"
BREAKOUT_PORTS = [9000, 9002, 9004]
COMMAND = "show ip int brief"
BASE_DEVICE_SETTINGS = {
"device_type": "cisco_ios_telnet",
"host": BREAKOUT_HOST_IP,
"port": "",
"global_delay_factor": 2,
}
Above we’ve simply laid the groundwork for our script.
Next we make use of the PRINT_LOCK
we created above:
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def mt_print(msg):
with PRINT_LOCK:
print(msg)
By using this mt_print
function instead of print()
in our multithreaded code, we can ensure our print
statements are not mangled.
Let’s now move onto the heart of our script:
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def run_mt(mt_function, q, **kwargs):
num_threads = min(NUM_THREADS, len(BREAKOUT_PORTS))
for i in range(num_threads):
thread_name = f'Thread-{i}'
worker = Thread(name=thread_name, target=mt_function, args=(q, kwargs))
worker.start()
q.join()
This is where the magic happens. In this block of code we’re:
- Spinning up x number of threads
- Naming them (for debugging purposes)
- Passing the threads a function and keyword arguments
- Starting the threads
join
ing the threads
Joining the threads allows us to pause execution of the script here. Without this statement, Python would continue running main()
while the threads are still executing. This means that our Elapsed time
message would be printed before we had receive the results of our show
commands.
Note: If you’ve read up on multithreading previously, chances are you’ve heard of daemon threads. Daemon threads advise Python that it can terminate a script if the only thing left running are the threads. Because we don’t use them in this script, Python will wait until all of our threads finish running before it terminates.
Though this next segment is our largest, it’s actually quite straightforward:
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def send_command(q, kwargs):
command = kwargs['command']
while True:
thread_name = currentThread().getName()
if q.empty():
mt_print(f"{thread_name}: Closing as there's no jobs left in the queue.")
return
device_details = q.get()
port = device_details["port"]
mt_print(f"{thread_name}: Connecting to port {port}...")
net_connect = ConnectHandler(**device_details)
mt_print(f"{thread_name}: Connected!")
mt_print(f"{thread_name}: Executing command:\n{command}")
sh = net_connect.send_command(command)
mt_print(f"{thread_name}: {port} output -\n{sh}")
mt_print(f"{thread_name}: Done!")
q.task_done()
As we can see in the main()
function, the send_command()
function is called by run_mt()
. That is to say, send_comand()
is going to be run concurrently by our threads.
Examining send_comand()
, we can see a few things:
while True
signifies an infinite loop. This ensures that our threads stay alive long enough to process all of the tasks in the queue- Speaking of the queue, we then see
if q.empty()
,return
. This enables our threads to cease after the queue is empty - Finally, we see
q.task_done()
. This enables us to clear tasks from the queue
Now onto the final piece of the puzzle:
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def main():
start_time = datetime.now()
device_queue = Queue(maxsize=0)
for port in BREAKOUT_PORTS:
new_device = BASE_DEVICE_SETTINGS.copy()
new_device["port"] = port
device_queue.put(new_device)
run_mt(mt_function=send_command, q=device_queue, command=COMMAND)
print("\nElapsed time: " + str(datetime.now() - start_time))
if __name__ == '__main__':
main()
In this segment we:
- Create the queue
- Populate the queue with our devices settings
- Start our threads
Results
Now that we’ve got our multithreaded script finished, let’s take it for a spin!
run2.py
Thread-0: Connecting to port 9000...
Thread-1: Connecting to port 9002...
Thread-2: Connecting to port 9004...
Thread-1: Connected!
Thread-1: Executing command:
show ip int brief
Thread-2: Connected!
Thread-2: Executing command:
show ip int brief
Thread-0: Connected!
Thread-0: Executing command:
show ip int brief
Thread-0: 9000 output -
Interface IP-Address OK? Method Status Protocol
GigabitEthernet0/0 unassigned YES unset administratively down down
GigabitEthernet0/1 unassigned YES unset administratively down down
Router>
Thread-0: Done!
Thread-0: Closing as there's no jobs left in the queue.
Thread-2: 9004 output -
Interface IP-Address OK? Method Status Protocol
GigabitEthernet0/0 unassigned YES unset administratively down down
GigabitEthernet0/1 unassigned YES unset administratively down down
Router>
Thread-2: Done!
Thread-2: Closing as there's no jobs left in the queue.
Thread-1: 9002 output -
Interface IP-Address OK? Method Status Protocol
GigabitEthernet0/0 unassigned YES unset administratively down down
GigabitEthernet0/1 unassigned YES unset administratively down down
Router>
Thread-1: Done!
Thread-1: Closing as there's no jobs left in the queue.
Elapsed time: 0:00:18.482459
Process finished with exit code 0
And there we have it! Our script finished running in 18 seconds. That is to say, three devices completed in the same amount of time it takes to do one. Had we done this without multithreading, it would have taken us approximately one minute. What a massive time saving.
As always, if you have any questions or have a topic that you would like me to discuss, please feel free to post a comment at the bottom of this blog entry, e-mail at will@oznetnerd.com, or drop me a message on Reddit (OzNetNerd).
Note: The opinions expressed in this blog are my own and not those of my employer.
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