python中的子进程内存使用情况 [英] Subprocess memory usage in python

问题描述

如何衡量/基准化在python中执行的子进程的最大内存使用量?

How can one measure/benchmark maximum memory usage of a subprocess executed within python?

推荐答案

我制作了一个小实用程序类，演示了如何使用

I made a little utility class that demonstrates how to do this with the psutil library:

import psutil
import subprocess

class ProcessTimer:
  def __init__(self,command):
    self.command = command
    self.execution_state = False

  def execute(self):
    self.max_vms_memory = 0
    self.max_rss_memory = 0

    self.t1 = None
    self.t0 = time.time()
    self.p = subprocess.Popen(self.command,shell=False)
    self.execution_state = True

  def poll(self):
    if not self.check_execution_state():
      return False

    self.t1 = time.time()

    try:
      pp = psutil.Process(self.p.pid)

      #obtain a list of the subprocess and all its descendants
      descendants = list(pp.get_children(recursive=True))
      descendants = descendants + [pp]

      rss_memory = 0
      vms_memory = 0

      #calculate and sum up the memory of the subprocess and all its descendants 
      for descendant in descendants:
        try:
          mem_info = descendant.get_memory_info()

          rss_memory += mem_info[0]
          vms_memory += mem_info[1]
        except psutil.error.NoSuchProcess:
          #sometimes a subprocess descendant will have terminated between the time
          # we obtain a list of descendants, and the time we actually poll this
          # descendant's memory usage.
          pass
      self.max_vms_memory = max(self.max_vms_memory,vms_memory)
      self.max_rss_memory = max(self.max_rss_memory,rss_memory)

    except psutil.error.NoSuchProcess:
      return self.check_execution_state()


    return self.check_execution_state()


  def is_running(self):
    return psutil.pid_exists(self.p.pid) and self.p.poll() == None
  def check_execution_state(self):
    if not self.execution_state:
      return False
    if self.is_running():
      return True
    self.executation_state = False
    self.t1 = time.time()
    return False

  def close(self,kill=False):

    try:
      pp = psutil.Process(self.p.pid)
      if kill:
        pp.kill()
      else:
        pp.terminate()
    except psutil.error.NoSuchProcess:
      pass

然后像这样使用它:

import time

#I am executing "make target" here
ptimer = ProcessTimer(['make','target'])

try:
  ptimer.execute()
  #poll as often as possible; otherwise the subprocess might 
  # "sneak" in some extra memory usage while you aren't looking
  while ptimer.poll():

    time.sleep(.5)
finally:
  #make sure that we don't leave the process dangling?
  ptimer.close()

print 'return code:',ptimer.p.returncode
print 'time:',ptimer.t1 - ptimer.t0
print 'max_vms_memory:',ptimer.max_vms_memory
print 'max_rss_memory:',ptimer.max_rss_memory

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