Concurrent programming - process thread pool and pool

main idea

Time for space

Process pool

Process pool : a container, the container limits on the quantity you open the process, the default is os.cpu_count (), my computer is an eight-core, they are able to open eight, eight processing task is certainly the first time only in parallel, as long as the task is completed, the process will soon take over a task.

Code:

from concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor
import os,time,random

# print(os.cpu_count())
def task(n):
    print(f"{os.getpid()} 接客")
    time.sleep(random.randint(1,3))

if __name__ == '__main__':
    p = ProcessPoolExecutor()
    for i in range(30):
        p.submit(task,1)

Thread Pool

Thread Pool : A thread can perform up to five times the process, which is 40

Code:

from concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor
import os,time,random

# print(os.cpu_count())
def task(n):
    print(f"{os.getpid()} 接客")
    time.sleep(random.randint(1,3))

if __name__ == '__main__':
    # p = ProcessPoolExecutor()
    # for i in range(30):
    #     p.submit(task,1)
    t = ThreadPoolExecutor()
    for i in range(200):
        t.submit(task,i)