PythonStudy——进程池与线程池

获取当前运行环境的CPU核心数(线程数)

import os,time

# 获取当前运行环境的CPU核心数(线程数)
print(os.cpu_count())
# 8

进程池(线程池)涉及到的专业英文词汇

 

 

 

进程池(线程池)特点

线程池,不仅帮我们管理了线程的开启和销毁,还帮我们管理任务的分配
特点: 线程池中的线程只要开启之后 即使任务结束也不会立即结束 因为后续可能会有新任务
避免了频繁开启和销毁线程造成的资源浪费

进程池(线程池)生成器的导包语句

# 线程池生成器
from
concurr
ent.futures import ThreadPoolExecutor
# 进程池生成器
from
concurrent.futures import ProcessPoolExecutor

创建进程池(线程池)实例:创建池子

# 创建池子实例 可以指定池子里面有多少线程 
# 如果不指定则默认设置为计算机(核心线程数*5)  我的CPU为4核8线程 建议设置为40
# 线程池最大值,应该机器所能承受的最大值,当然需要考虑你的机器有几个任务要做
pool = ThreadPoolExecutor(40)

线程池的使用


pool = ThreadPoolExecutor(40) from threading import enumerate,current_thread import time def task(name,age): print("Name: %s Age: %s"%(name,age)) time.sleep(2) # 把提交任务到线程池中,创建线程任务(task) # 任务的参数,直接写到后面不需要定义参数名称,因为是可变位置参数 # 函数名 函数参数 # 提交方式 一 | | task1 = pool.submit(task,"Venti",18) # 提交方式 二 pool.submit(task,"Jack",20) print(enumerate()) # <_MainThread(MainThread, started 140735554691968)>, # <Thread(ThreadPoolExecutor-0_0, started daemon 123145333833728)>, # <Thread(ThreadPoolExecutor-0_1, started daemon 123145339088896)>]

 进程池的使用

# 进程池的使用   同样可以设置最大进程数量 默认为cpu的个数
# 具体的值也要参考机器性能
pool = ProcessPoolExecutor() 

def task(name):
    print(os.getpid())
    print(name)

if __name__ == '__main__':
    pool.submit(task,"venti")

    pool.shutdown()

    pool.submit(task, "tom")

 进程池(线程池)的shutdown

等待所有任务(主线程,子线程)结束 销毁掉所有线程 释放线程池对象
from concurrent.futures import ThreadPoolExecutor

from threading import current_thread, enumerate

import time
pool = ThreadPoolExecutor(50)
def task():
  # name 没有 getName 信息详细
print(current_thread().name) print(current_thread().getName()) time.sleep(0) # 循环创建50个子线程 for i in range(50): pool.submit(task) start_time = time.time() print(enumerate()) # 等待所有任务结束 销毁掉所有线程 释放线程池 pool.shutdown() end_time = time.time() print("Used time: %s " % (end_time - start_time)) # ThreadPoolExecutor-0_0 # ThreadPoolExecutor-0_0 # ThreadPoolExecutor-0_0 # ThreadPoolExecutor-0_0 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_4 # ThreadPoolExecutor-0_4 # ThreadPoolExecutor-0_2 # ThreadPoolExecutor-0_4 # ThreadPoolExecutor-0_4 # ThreadPoolExecutor-0_2 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_5 # ThreadPoolExecutor-0_5 # ThreadPoolExecutor-0_5 # ThreadPoolExecutor-0_5 # ThreadPoolExecutor-0_2 # ThreadPoolExecutor-0_2 # ThreadPoolExecutor-0_0 # ThreadPoolExecutor-0_0 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_3 # ThreadPoolExecutor-0_3 # ThreadPoolExecutor-0_9 # ThreadPoolExecutor-0_9 # ThreadPoolExecutor-0_2 # ThreadPoolExecutor-0_2 # ThreadPoolExecutor-0_10 # ThreadPoolExecutor-0_10 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_12 # ThreadPoolExecutor-0_12 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_1 # ThreadPoolExecutor-0_5 # ThreadPoolExecutor-0_5 # ThreadPoolExecutor-0_9 # ThreadPoolExecutor-0_9 # ThreadPoolExecutor-0_14 # ThreadPoolExecutor-0_14 # ThreadPoolExecutor-0_14 # ThreadPoolExecutor-0_14 # ThreadPoolExecutor-0_15 # ThreadPoolExecutor-0_15 # ThreadPoolExecutor-0_15 # ThreadPoolExecutor-0_15 # ThreadPoolExecutor-0_10 # ThreadPoolExecutor-0_10 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_17 # ThreadPoolExecutor-0_17 # ThreadPoolExecutor-0_12 # ThreadPoolExecutor-0_12 # ThreadPoolExecutor-0_18 # ThreadPoolExecutor-0_18 # ThreadPoolExecutor-0_3 # ThreadPoolExecutor-0_3 # ThreadPoolExecutor-0_5 # ThreadPoolExecutor-0_5 # ThreadPoolExecutor-0_20 # ThreadPoolExecutor-0_20 # ThreadPoolExecutor-0_4 # ThreadPoolExecutor-0_4 # ThreadPoolExecutor-0_22 # ThreadPoolExecutor-0_22 # ThreadPoolExecutor-0_22 # ThreadPoolExecutor-0_22 # ThreadPoolExecutor-0_23 # ThreadPoolExecutor-0_23 # ThreadPoolExecutor-0_24 # ThreadPoolExecutor-0_24 # ThreadPoolExecutor-0_15 # ThreadPoolExecutor-0_15 # ThreadPoolExecutor-0_11 # ThreadPoolExecutor-0_11 # ThreadPoolExecutor-0_10 # ThreadPoolExecutor-0_10 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_7 # ThreadPoolExecutor-0_8 # ThreadPoolExecutor-0_8 # ThreadPoolExecutor-0_8 # ThreadPoolExecutor-0_8 # ThreadPoolExecutor-0_18 # ThreadPoolExecutor-0_18 # ThreadPoolExecutor-0_30 # ThreadPoolExecutor-0_30 # ThreadPoolExecutor-0_19 # ThreadPoolExecutor-0_19 # [<_MainThread(MainThread, started 140735554691968)>, # <Thread(ThreadPoolExecutor-0_0, started daemon 123145317638144)>, # <Thread(ThreadPoolExecutor-0_1, started daemon 123145322893312)>, # <Thread(ThreadPoolExecutor-0_2, started daemon 123145328148480)>, # <Thread(ThreadPoolExecutor-0_3, started daemon 123145333403648)>, # <Thread(ThreadPoolExecutor-0_4, started daemon 123145338658816)>, # <Thread(ThreadPoolExecutor-0_5, started daemon 123145343913984)>, # <Thread(ThreadPoolExecutor-0_6, started daemon 123145349169152)>, # <Thread(ThreadPoolExecutor-0_7, started daemon 123145354424320)>, # <Thread(ThreadPoolExecutor-0_8, started daemon 123145359679488)>, # <Thread(ThreadPoolExecutor-0_9, started daemon 123145364934656)>, # <Thread(ThreadPoolExecutor-0_10, started daemon 123145370189824)>, # <Thread(ThreadPoolExecutor-0_11, started daemon 123145375444992)>, # <Thread(ThreadPoolExecutor-0_12, started daemon 123145380700160)>, # <Thread(ThreadPoolExecutor-0_13, started daemon 123145385955328)>, # <Thread(ThreadPoolExecutor-0_14, started daemon 123145391210496)>, # <Thread(ThreadPoolExecutor-0_15, started daemon 123145396465664)>, # <Thread(ThreadPoolExecutor-0_16, started daemon 123145401720832)>, # <Thread(ThreadPoolExecutor-0_17, started daemon 123145406976000)>, # <Thread(ThreadPoolExecutor-0_18, started daemon 123145412231168)>, # <Thread(ThreadPoolExecutor-0_19, started daemon 123145417486336)>, # <Thread(ThreadPoolExecutor-0_20, started daemon 123145422741504)>, # <Thread(ThreadPoolExecutor-0_21, started daemon 123145427996672)>, # <Thread(ThreadPoolExecutor-0_22, started daemon 123145433251840)>, # <Thread(ThreadPoolExecutor-0_23, started daemon 123145438507008)>, # <Thread(ThreadPoolExecutor-0_24, started daemon 123145443762176)>, # <Thread(ThreadPoolExecutor-0_25, started daemon 123145449017344)>, # <Thread(ThreadPoolExecutor-0_26, started daemon 123145454272512)>, # <Thread(ThreadPoolExecutor-0_27, started daemon 123145459527680)>, # <Thread(ThreadPoolExecutor-0_28, started daemon 123145464782848)>, # <Thread(ThreadPoolExecutor-0_29, started daemon 123145470038016)>, # <Thread(ThreadPoolExecutor-0_30, started daemon 123145475293184)>, # <Thread(ThreadPoolExecutor-0_31, started daemon 123145480548352)>, # <Thread(ThreadPoolExecutor-0_32, started daemon 123145485803520)>, # <Thread(ThreadPoolExecutor-0_33, started daemon 123145491058688)>, # <Thread(ThreadPoolExecutor-0_34, started daemon 123145496313856)>, # <Thread(ThreadPoolExecutor-0_35, started daemon 123145501569024)>, # <Thread(ThreadPoolExecutor-0_36, started daemon 123145506824192)>, # <Thread(ThreadPoolExecutor-0_37, started daemon 123145512079360)>, # <Thread(ThreadPoolExecutor-0_38, started daemon 123145517334528)>, # <Thread(ThreadPoolExecutor-0_39, started daemon 123145522589696)>, # <Thread(ThreadPoolExecutor-0_40, started daemon 123145527844864)>, # <Thread(ThreadPoolExecutor-0_41, started daemon 123145533100032)>, # <Thread(ThreadPoolExecutor-0_42, started daemon 123145538355200)>, # <Thread(ThreadPoolExecutor-0_43, started daemon 123145543610368)>, # <Thread(ThreadPoolExecutor-0_44, started daemon 123145548865536)>, # <Thread(ThreadPoolExecutor-0_45, started daemon 123145554120704)>, # <Thread(ThreadPoolExecutor-0_46, started daemon 123145559375872)>, # <Thread(ThreadPoolExecutor-0_47, started daemon 123145564631040)>, # <Thread(ThreadPoolExecutor-0_48, started daemon 123145569886208)>, # <Thread(ThreadPoolExecutor-0_49, started daemon 123145575141376)>] # Used time: 0.0021376609802246094
原文地址:https://www.cnblogs.com/tingguoguoyo/p/10981582.html