running several system commands in parallel in Python

Question

I write a simple script that executes a system command on a sequence of files. To speed things up, I'd like to run them in parallel, but not all at once - i need to control maximum number of simultaneously running commands. What whould be the easiest way to approach this ?

Answer 1

If you are calling subprocesses anyway, I don't see the need to use a thread pool. A basic implementation using the subprocess module would be

import subprocess
import os
import time

files = <list of file names>
command = "/bin/touch"
processes = set()
max_processes = 5

for name in files:
    processes.add(subprocess.Popen([command, name]))
    if len(processes) >= max_processes:
        os.wait()
        processes.difference_update([
            p for p in processes if p.poll() is not None])

On Windows, os.wait() is not available (nor any other method of waiting for any child process to terminate). You can work around this by polling in certain intervals:

for name in files:
    processes.add(subprocess.Popen([command, name]))
    while len(processes) >= max_processes:
        time.sleep(.1)
        processes.difference_update([
            p for p in processes if p.poll() is not None])

The time to sleep for depends on the expected execution time of the subprocesses.

Answer 2

The answer from Sven Marnach is almost right, but there is a problem. If one of the last max_processes processes ends, the main program will try to start another process, and the for looping will end. This will close the main process, which can in turn close the child processes. For me, this behavior happened with the screen command.

The code in Linux will be like this (and will only work on python2.7):

import subprocess
import os
import time

files = <list of file names>
command = "/bin/touch"
processes = set()
max_processes = 5

for name in files:
    processes.add(subprocess.Popen([command, name]))
    if len(processes) >= max_processes:
        os.wait()
        processes.difference_update(
            [p for p in processes if p.poll() is not None])
#Check if all the child processes were closed
for p in processes:
    if p.poll() is None:
        p.wait()

Answer 3

You need to combine a Semaphore object with threads . A Semaphore is an object that lets you limit the number of threads that are running in a given section of code. In this case we'll use a semaphore to limit the number of threads that can run the os.system call.

First we import the modules we need:

#!/usr/bin/python

import threading
import os

Next we create a Semaphore object. The number four here is the number of threads that can acquire the semaphore at one time. This limits the number of subprocesses that can be run at once.

semaphore = threading.Semaphore(4)

This function simply wraps the call to the subprocess in calls to the Semaphore.

def run_command(cmd):
    semaphore.acquire()
    try:
        os.system(cmd)
    finally:
        semaphore.release()

If you're using Python 2.6+ this can become even simpler as you can use the 'with' statement to perform both the acquire and release calls.

def run_command(cmd):
    with semaphore:
        os.system(cmd)

Finally, to show that this works as expected we'll call the "sleep 10" command eight times.

for i in range(8):
    threading.Thread(target=run_command, args=("sleep 10", )).start()

Running the script using the 'time' program shows that it only takes 20 seconds as two lots of four sleeps are run in parallel.

aw@aw-laptop:~/personal/stackoverflow$ time python 4992400.py 

real    0m20.032s                                                                                                                                                                   
user    0m0.020s                                                                                                                                                                    
sys     0m0.008s 

Answer 4

I merged the solutions by Sven and Thuener into one that waits for trailing processes and also stops if one of the processes crashes:

def removeFinishedProcesses(processes):
    """ given a list of (commandString, process), 
        remove those that have completed and return the result 
    """
    newProcs = []
    for pollCmd, pollProc in processes:
        retCode = pollProc.poll()
        if retCode==None:
            # still running
            newProcs.append((pollCmd, pollProc))
        elif retCode!=0:
            # failed
            raise Exception("Command %s failed" % pollCmd)
        else:
            logging.info("Command %s completed successfully" % pollCmd)
    return newProcs

def runCommands(commands, maxCpu):
            processes = []
            for command in commands:
                logging.info("Starting process %s" % command)
                proc =  subprocess.Popen(shlex.split(command))
                procTuple = (command, proc)
                processes.append(procTuple)
                while len(processes) >= maxCpu:
                    time.sleep(.2)
                    processes = removeFinishedProcesses(processes)

            # wait for all processes
            while len(processes)>0:
                time.sleep(0.5)
                processes = removeFinishedProcesses(processes)
            logging.info("All processes completed")

Answer 5

This answer is very similar to other answers present here but it uses a list instead of sets. For some reason when using those answers I was getting a runtime error regarding the size of the set changing.

from subprocess import PIPE
import subprocess
import time


def submit_job_max_len(job_list, max_processes):
  sleep_time = 0.1
  processes = list()
  for command in job_list:
    print 'running {n} processes. Submitting {proc}.'.format(n=len(processes),
        proc=str(command))
    processes.append(subprocess.Popen(command, shell=False, stdout=None,
      stdin=PIPE))
    while len(processes) >= max_processes:
      time.sleep(sleep_time)
      processes = [proc for proc in processes if proc.poll() is None]
  while len(processes) > 0:
    time.sleep(sleep_time)
    processes = [proc for proc in processes if proc.poll() is None]


cmd = '/bin/bash run_what.sh {n}'
job_list = ((cmd.format(n=i)).split() for i in range(100))
submit_job_max_len(job_list, max_processes=50)

Answer 6

What you are asking for is a thread pool. There is a fixed number of threads that can be used to execute tasks. When is not running a task, it waits on a task queue in order to get a new piece of code to execute.

There is this thread pool module , but there is a comment saying it is not considered complete yet. There may be other packages out there, but this was the first one I found.

Answer 7

If your running system commands you can just create the process instances with the subprocess module, call them as you want. There shouldn't be any need to thread (its unpythonic) and multiprocess seems a tad overkill for this task.