如何使用 psutil 捕获进程的峰值内存和 CPU 利用率答案

【问题标题】：How to capture the Peak Memory and CPU utilization of the process using psutil如何使用 psutil 捕获进程的峰值内存和 CPU 利用率
【发布时间】：2020-03-31 09:35:18
【问题描述】：

流程 P1：

#sub.py
#Find the sum of two numbers

def sum_ab(a,b):
    return a+b

def main():
    print(sum_ab(3,6))

if __name__ == '__main__':
    main()

流程 P2：

#run.py
#Execute sub.py 10 times
import psutil as ps

cmd = ["python3", "sub.py"]

for i in range(10):
    process = ps.Popen(cmd)

以上是我正在使用的场景。我需要找到“run.py”脚本调用的每个子进程的 CPU 和内存利用率。谁能帮我推导出正在运行的进程的资源信息。如何在python中导出以下内容。

每个子进程 'sub.py' 的 CPU 利用率是多少
每个子进程“sub.py”的内存利用率是多少

【问题讨论】：

标签： python-3.x memory-management subprocess popen psutil

【解决方案1】：

经过一番搜索，发现可以得到子进程资源利用率分析。

更新后的Process P2如下：

# run.py
# Execute sub.py 10 times

# Import the required utilities
import psutil as ps
import time
from subprocess import PIPE

# define the command for the subprocess
cmd = ["python3", "sub.py"]

for i in range(10):
    # Create the process
    process = ps.Popen(cmd, stdout=PIPE)

    peak_mem = 0
    peak_cpu = 0

    # while the process is running calculate resource utilization.
    while(process.is_running()):
        # set the sleep time to monitor at an interval of every second.
        time.sleep(1)

        # capture the memory and cpu utilization at an instance
        mem = process.memory_info().rss/ (float)(2**30)
        cpu = process.cpu_percent()

        # track the peak utilization of the process
        if mem > peak_mem:
            peak_mem = mem
        if cpu > peak_cpu:
            peak_cpu = cpu
        if mem == 0.0:
            break

    # Print the results to the monitor for each subprocess run.
    print("Peak memory usage for the iteration {} is {} GB".format(i, peak_mem))
    print("Peak CPU utilization for the iteration {} is {} %".format(i, peak_cpu))

【讨论】：