实用：python中线程和进程的控制(concurrent.futures)

最新推荐文章于 2025-01-30 18:45:51 发布

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本文探讨了Python中使用concurrent.futures模块进行线程和进程控制的实践，包括多线程和多进程的运行结果分析。

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多线程：

import threading
from concurrent import futures
import time
import logging


logging.basicConfig(format='%(thread)s %(threadName)s %(message)s',level=logging.INFO)

def work(n):
    logging.info('working-{}'.format(n))
    time.sleep(5)
    logging.info('end work-{}'.format(n))

executor = futures.ThreadPoolExecutor(3)

fs = []

for i in range(3):
    f = executor.submit(work,i)
    fs.append(f)

for i in range(3,6):
    f = executor.submit(work,i)
    fs.append(f)

while True:
    time.sleep(2)
    logging.info(threading.enumerate())

    flag = True
    for f in fs:
        flag = flag and f.done()

    if flag:
        executor.shutdown()
        logging.info(threading.enumerate())
        break

运行结果：

140342196143872 Thread-1 working-0
140342187751168 Thread-2 working-1
140342179358464 Thread-3 working-2
140342243120896 MainThread [<_MainThread(MainThread, started 140342243120896)>, <Thread(Thread-1, started daemon 140342196143872)>, <Thread(Thread-2, started daemon 140342187751168)>, <Thread(Thread-3, started daemon 140342179358464)>]
140342243120896 MainThread [<_MainThread(MainThread, started 140342243120896)>, <Thread(Thread-1, started daemon 140342196143872)>, <Thread(Thread-2, started daemon 140342187751168)>, <Thread(Thread-3, started daemon 140342179358464)>]
140342187751168 Thread-2 end work-1
140342187751168 Thread-2 working-3
140342196143872 Thread-1 end work-0
140342196143872 Thread-1 working-4
140342179358464 Thread-3 end work-2
140342179358464 Thread-3 working-5
140342243120896 MainThread [<_MainThread(MainThread, started 140342243120896)>, <Thread(Thread-1, started daemon 140342196143872)>, <Thread(Thread-2, started daemon 140342187751168)>, <Thread(Thread-3, started daemon 140342179358464)>]
140342243120896 MainThread [<_MainThread(MainThread, started 140342243120896)>, <Thread(Thread-1, started daemon 140342196143872)>, <Thread(Thread-2, started daemon 140342187751168)>, <Thread(Thread-3, started daemon 140342179358464)>]
140342187751168 Thread-2 end work-3
140342179358464 Thread-3 end work-5
140342243120896 MainThread [<_MainThread(MainThread, started 140342243120896)>, <Thread(Thread-1, started daemon 140342196143872)>, <Thread(Thread-2, started daemon 140342187751168)>, <Thread(Thread-3, started daemon 140342179358464)>]
140342196143872 Thread-1 end work-4
140342243120896 MainThread [<_MainThread(MainThread, started 140342243120896)>, <Thread(Thread-1, started daemon 140342196143872)>, <Thread(Thread-2, started daemon 140342187751168)>, <Thread(Thread-3, started daemon 140342179358464)>]
140342243120896 MainThread [<_MainThread(MainThread, started 140342243120896)>]

多进程：

import threading
from concurrent import futures
import time
import logging


logging.basicConfig(format='%(thread)s %(threadName)s %(message)s',level=logging.INFO)

def work(n):
    logging.info('working-{}'.format(n))
    time.sleep(5)
    logging.info('end work-{}'.format(n))

if __name__ == '__main__':
    executor = futures.ProcessPoolExecutor(3)

fs = []

for i in range(3):
    f = executor.submit(work,i)
    fs.append(f)

for i in range(3,6):
    f = executor.submit(work,i)
    fs.append(f)

while True:
    time.sleep(2)
    flag = True
    for f in fs:
        flag = flag and f.done()

    if flag:
        executor.shutdown()
        break

运行结果：

140665507444480 MainThread working-1
140665507444480 MainThread working-0
140665507444480 MainThread working-2
140665507444480 MainThread end work-0
140665507444480 MainThread end work-1
140665507444480 MainThread working-3
140665507444480 MainThread working-4
140665507444480 MainThread end work-2
140665507444480 MainThread working-5
140665507444480 MainThread end work-4
140665507444480 MainThread end work-3
140665507444480 MainThread end work-5