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  • 第五篇 进程&线程&协程

    • 多进程
       1 #方式一:
       2 # from multiprocessing import Process
       3 # import time
       4 #
       5 # def task(name):
       6 #     print('%s is running' %name)
       7 #     time.sleep(3)
       8 #     print('%s is done' %name)
       9 #
      10 # if __name__ == '__main__':
      11 #     # Process(target=task,kwargs={'name':'子进程1'})
      12 #     p=Process(target=task,args=('子进程1',))
      13 #     p.start() #仅仅只是给操作系统发送了一个信号
      14 #
      15 #     print('主')
      16 
      17 #方式二
      18 from multiprocessing import Process
      19 import time
      20 
      21 class MyProcess(Process):
      22     def __init__(self,name):
      23         super().__init__()
      24         self.name=name
      25 
      26     def run(self):
      27         print('%s is running' %self.name)
      28         time.sleep(3)
      29         print('%s is done' %self.name)
      30 
      31 
      32 if __name__ == '__main__':
      33     p=MyProcess('子进程1')
      34     p.start()
      35     print('')
      开启进程的2种方式
       1 from multiprocessing import Process
       2 import time,os
       3 
       4 def task():
       5     print('%s is running,parent id is <%s>' %(os.getpid(),os.getppid()))
       6     time.sleep(3)
       7     print('%s is done,parent id is <%s>' %(os.getpid(),os.getppid()))
       8 
       9 if __name__ == '__main__':
      10     p=Process(target=task,)
      11     p.start()
      12 
      13     print('',os.getpid(),os.getppid())
      查看pid
        1 #join方法
        2 # from multiprocessing import Process
        3 # import time,os
        4 #
        5 # def task():
        6 #     print('%s is running,parent id is <%s>' %(os.getpid(),os.getppid()))
        7 #     time.sleep(3)
        8 #     print('%s is done,parent id is <%s>' %(os.getpid(),os.getppid()))
        9 #
       10 # if __name__ == '__main__':
       11 #     p=Process(target=task,)
       12 #     p.start()
       13 #
       14 #     p.join()
       15 #     print('主',os.getpid(),os.getppid())
       16 #     print(p.pid)
       17 
       18 
       19 # from multiprocessing import Process
       20 # import time,os
       21 #
       22 # def task(name,n):
       23 #     print('%s is running' %name)
       24 #     time.sleep(n)
       25 #
       26 #
       27 # if __name__ == '__main__':
       28 #     start=time.time()
       29 #     p1=Process(target=task,args=('子进程1',5))
       30 #     p2=Process(target=task,args=('子进程2',3))
       31 #     p3=Process(target=task,args=('子进程3',2))
       32 #     p_l=[p1,p2,p3]
       33 #
       34 #     # p1.start()
       35 #     # p2.start()
       36 #     # p3.start()
       37 #     for p in p_l:
       38 #         p.start()
       39 #
       40 #     # p1.join()
       41 #     # p2.join()
       42 #     # p3.join()
       43 #     for p in p_l:
       44 #         p.join()
       45 #
       46 #     print('主',(time.time()-start))
       47 
       48 
       49 
       50 
       51 
       52 # from multiprocessing import Process
       53 # import time,os
       54 #
       55 # def task(name,n):
       56 #     print('%s is running' %name)
       57 #     time.sleep(n)
       58 #
       59 #
       60 # if __name__ == '__main__':
       61 #     start=time.time()
       62 #     p1=Process(target=task,args=('子进程1',5))
       63 #     p2=Process(target=task,args=('子进程2',3))
       64 #     p3=Process(target=task,args=('子进程3',2))
       65 #
       66 #     p1.start()
       67 #     p1.join()
       68 #     p2.start()
       69 #     p2.join()
       70 #     p3.start()
       71 #     p3.join()
       72 #
       73 #     print('主',(time.time()-start))
       74 
       75 
       76 #了解:is_alive
       77 from multiprocessing import Process
       78 import time,os
       79 
       80 def task():
       81     print('%s is running,parent id is <%s>' %(os.getpid(),os.getppid()))
       82     time.sleep(3)
       83     print('%s is done,parent id is <%s>' %(os.getpid(),os.getppid()))
       84 
       85 if __name__ == '__main__':
       86     # p=Process(target=task,)
       87     # p.start()
       88     # # print(p.is_alive())
       89     # p.join()
       90     # print('主',os.getpid(),os.getppid())
       91     # print(p.pid)
       92     # # print(p.is_alive())
       93 
       94 
       95 
       96     p=Process(target=task,name='sub——Precsss')
       97     p.start()
       98     p.terminate()
       99     time.sleep(3)
      100     print(p.is_alive())
      101     print('')
      102     print(p.name)
      Process对象的其他属性
       1 # from multiprocessing import Process
       2 # import time
       3 #
       4 # def task(name):
       5 #     print('%s is running' %name)
       6 #     time.sleep(2)
       7 #     p=Process(target=time.sleep,args=(3,))
       8 #     p.start()
       9 #
      10 #
      11 # if __name__ == '__main__':
      12 #     p=Process(target=task,args=('子进程1',))
      13 #     p.daemon=True
      14 #     p.start()
      15 #
      16 #     p.join()
      17 #     print('主')
      18 
      19 
      20 #练习题
      21 from multiprocessing import Process
      22 
      23 import time
      24 def foo():
      25     print(123)
      26     time.sleep(1)
      27     print("end123")
      28 
      29 def bar():
      30     print(456)
      31     time.sleep(3)
      32     print("end456")
      33 
      34 if __name__ == '__main__':
      35     p1=Process(target=foo)
      36     p2=Process(target=bar)
      37 
      38     p1.daemon=True
      39     p1.start()
      40     p2.start()
      41     print("main-------")
      守护进程
       1 from multiprocessing import Process,Lock
       2 import json
       3 import time
       4 
       5 def search(name):
       6     time.sleep(1)
       7     dic=json.load(open('db.txt','r',encoding='utf-8'))
       8     print('<%s> 查看到剩余票数【%s】' %(name,dic['count']))
       9 
      10 
      11 def get(name):
      12     time.sleep(1)
      13     dic=json.load(open('db.txt','r',encoding='utf-8'))
      14     if dic['count'] > 0:
      15         dic['count']-=1
      16         time.sleep(3)
      17         json.dump(dic,open('db.txt','w',encoding='utf-8'))
      18         print('<%s> 购票成功' %name)
      19 
      20 
      21 def task(name,mutex):
      22     search(name)
      23     mutex.acquire()
      24     get(name)
      25     mutex.release()
      26 
      27 if __name__ == '__main__':
      28     mutex=Lock()
      29     for i in range(10):
      30         p=Process(target=task,args=('路人%s' %i,mutex))
      31         p.start()
      互斥锁-模拟抢票示例
       1 from multiprocessing import Process,Lock
       2 import json
       3 import time
       4 
       5 def search(name):
       6     time.sleep(1)
       7     dic=json.load(open('db.txt','r',encoding='utf-8'))
       8     print('<%s> 查看到剩余票数【%s】' %(name,dic['count']))
       9 
      10 
      11 def get(name):
      12     time.sleep(1)
      13     dic=json.load(open('db.txt','r',encoding='utf-8'))
      14     if dic['count'] > 0:
      15         dic['count']-=1
      16         time.sleep(3)
      17         json.dump(dic,open('db.txt','w',encoding='utf-8'))
      18         print('<%s> 购票成功' %name)
      19     else:
      20         print('<%s> 购票失败' %name)
      21 
      22 def task(name,):
      23     search(name)
      24     # mutex.acquire()
      25     get(name)
      26     # mutex.release()
      27 
      28 if __name__ == '__main__':
      29     # mutex=Lock()
      30     for i in range(10):
      31         p=Process(target=task,args=('路人%s' %i,))
      32         p.start()
      33         p.join()
      互斥锁与join
       1 from multiprocessing import Queue
       2 
       3 
       4 q=Queue(3)
       5 
       6 q.put('hello')
       7 q.put({'a':1})
       8 q.put([3,3,3,])
       9 print(q.full())
      10 
      11 # q.put(4)
      12 
      13 print(q.get())
      14 print(q.get())
      15 print(q.get())
      16 print(q.empty())
      17 
      18 print(q.get())
      队列使用
       1 from multiprocessing import Process,Queue
       2 import time
       3 
       4 def producer(q):
       5     for i in range(10):
       6         res='包子%s' %i
       7         time.sleep(0.5)
       8         print('生产者生产了%s' %res)
       9 
      10         q.put(res)
      11 
      12 def consumer(q):
      13     while True:
      14         res=q.get()
      15         if res is None:break
      16         time.sleep(1)
      17         print('消费者吃了%s' % res)
      18 
      19 
      20 
      21 if __name__ == '__main__':
      22     #容器
      23     q=Queue()
      24 
      25     #生产者们
      26     p1=Process(target=producer,args=(q,))
      27     p2=Process(target=producer,args=(q,))
      28     p3=Process(target=producer,args=(q,))
      29 
      30     #消费者们
      31     c1=Process(target=consumer,args=(q,))
      32     c2=Process(target=consumer,args=(q,))
      33 
      34     p1.start()
      35     p2.start()
      36     p3.start()
      37     c1.start()
      38     c2.start()
      39 
      40     p1.join()
      41     p2.join()
      42     p3.join()
      43     q.put(None)
      44     q.put(None)
      45     print('')
      生产消费模型
       1 from multiprocessing import Process,JoinableQueue
       2 import time
       3 
       4 def producer(q):
       5     for i in range(2):
       6         res='包子%s' %i
       7         time.sleep(0.5)
       8         print('生产者生产了%s' %res)
       9 
      10         q.put(res)
      11     q.join()
      12 
      13 def consumer(q):
      14     while True:
      15         res=q.get()
      16         if res is None:break
      17         time.sleep(1)
      18         print('消费者吃了%s' % res)
      19         q.task_done()
      20 
      21 
      22 if __name__ == '__main__':
      23     #容器
      24     q=JoinableQueue()
      25 
      26     #生产者们
      27     p1=Process(target=producer,args=(q,))
      28     p2=Process(target=producer,args=(q,))
      29     p3=Process(target=producer,args=(q,))
      30 
      31     #消费者们
      32     c1=Process(target=consumer,args=(q,))
      33     c2=Process(target=consumer,args=(q,))
      34     c1.daemon=True
      35     c2.daemon=True
      36 
      37     p1.start()
      38     p2.start()
      39     p3.start()
      40     c1.start()
      41     c2.start()
      42 
      43 
      44     p1.join()
      45     p2.join()
      46     p3.join()
      47     print('')
      JoinableQueue
    • 多线程
       1 # import time
       2 # import random
       3 # from threading import Thread
       4 #
       5 # def piao(name):
       6 #     print('%s piaoing' %name)
       7 #     time.sleep(random.randrange(1,5))
       8 #     print('%s piao end' %name)
       9 #
      10 # if __name__ == '__main__':
      11 #     t1=Thread(target=piao,args=('egon',))
      12 #     t1.start()
      13 #     print('主线程')
      14 #
      15 
      16 
      17 import time
      18 import random
      19 from threading import Thread
      20 
      21 class MyThread(Thread):
      22     def __init__(self,name):
      23         super().__init__()
      24         self.name=name
      25 
      26     def run(self):
      27         print('%s piaoing' %self.name)
      28 
      29         time.sleep(random.randrange(1,5))
      30         print('%s piao end' %self.name)
      31 
      32 if __name__ == '__main__':
      33     t1=MyThread('egon')
      34     t1.start()
      35     print('')
      开启线程的2种方式
       1 # 1、开进程的开销远大于开线程
       2 # import time
       3 # from threading import Thread
       4 # from multiprocessing import Process
       5 #
       6 # def piao(name):
       7 #     print('%s piaoing' %name)
       8 #     time.sleep(2)
       9 #     print('%s piao end' %name)
      10 #
      11 # if __name__ == '__main__':
      12 #     # p1=Process(target=piao,args=('egon',))
      13 #     # p1.start()
      14 #
      15 #     t1=Thread(target=piao,args=('egon',))
      16 #     t1.start()
      17 #     print('主线程')
      18 
      19 
      20 
      21 # 2、同一进程内的多个线程共享该进程的地址空间
      22 # from threading import Thread
      23 # from multiprocessing import Process
      24 #
      25 # n=100
      26 # def task():
      27 #     global n
      28 #     n=0
      29 #
      30 # if __name__ == '__main__':
      31 #     # p1=Process(target=task,)
      32 #     # p1.start()
      33 #     # p1.join()
      34 #
      35 #     t1=Thread(target=task,)
      36 #     t1.start()
      37 #     t1.join()
      38 #
      39 #     print('主线程',n)
      40 
      41 
      42 # 3、瞅一眼pid
      43 # from threading import Thread
      44 # from multiprocessing import Process,current_process
      45 # import os
      46 #
      47 # def task():
      48 #     # print(current_process().pid)
      49 #     print('子进程PID:%s  父进程的PID:%s' %(os.getpid(),os.getppid()))
      50 #
      51 # if __name__ == '__main__':
      52 #     p1=Process(target=task,)
      53 #     p1.start()
      54 #
      55 #     # print('主线程',current_process().pid)
      56 #     print('主线程',os.getpid())
      57 
      58 
      59 from threading import Thread
      60 import os
      61 
      62 def task():
      63     print('子线程:%s' %(os.getpid()))
      64 
      65 if __name__ == '__main__':
      66     t1=Thread(target=task,)
      67     t1.start()
      68 
      69     print('主线程',os.getpid())
      进程与线程的区别
       1 from threading import Thread,currentThread,active_count,enumerate
       2 import time
       3 
       4 def task():
       5     print('%s is ruuning' %currentThread().getName())
       6     time.sleep(2)
       7     print('%s is done' %currentThread().getName())
       8 
       9 if __name__ == '__main__':
      10     t=Thread(target=task,name='子线程1')
      11     t.start()
      12     # t.setName('儿子线程1')
      13     # t.join()
      14     # print(t.getName())
      15     # currentThread().setName('主线程')
      16     # print(t.isAlive())
      17 
      18 
      19     # print('主线程',currentThread().getName())
      20 
      21     # t.join()
      22     # print(active_count())
      23     print(enumerate())
      Thread对象的属性和方法
       1 # from threading import Thread
       2 # import time
       3 #
       4 # def sayhi(name):
       5 #     time.sleep(2)
       6 #     print('%s say hello' %name)
       7 #
       8 # if __name__ == '__main__':
       9 #     t=Thread(target=sayhi,args=('egon',))
      10 #     # t.setDaemon(True) #必须在t.start()之前设置
      11 #     t.daemon=True
      12 #     t.start()
      13 #
      14 #     print('主线程')
      15 #     print(t.is_alive())
      16 #
      17 
      18 
      19 from threading import Thread
      20 import time
      21 
      22 def foo():
      23     print(123)
      24     time.sleep(1)
      25     print("end123")
      26 
      27 def bar():
      28     print(456)
      29     time.sleep(3)
      30     print("end456")
      31 
      32 if __name__ == '__main__':
      33     t1=Thread(target=foo)
      34     t2=Thread(target=bar)
      35 
      36     t1.daemon=True
      37     t1.start()
      38     t2.start()
      39     print("main-------")
      40 
      41 
      42     '''
      43     123
      44     456
      45     main-------
      46     end123
      47     end456
      48     
      49     '''
      守护线程
       1 #mutex
       2 from threading import Thread,Lock
       3 import time
       4 
       5 n=100
       6 
       7 def task():
       8     global n
       9     mutex.acquire()
      10     temp=n
      11     time.sleep(0.1)
      12     n=temp-1
      13     mutex.release()
      14     
      15 if __name__ == '__main__':
      16     mutex=Lock()
      17     t_l=[]
      18     for i in range(100):
      19         t=Thread(target=task)
      20         t_l.append(t)
      21         t.start()
      22 
      23     for t in t_l:
      24         t.join()
      25 
      26     print('',n)
      互斥锁
       1 # 计算密集型:用多进程
       2 # from multiprocessing import Process
       3 # from threading import Thread
       4 # import os,time
       5 # def work():
       6 #     res=0
       7 #     for i in range(100000000):
       8 #         res*=i
       9 #
      10 #
      11 # if __name__ == '__main__':
      12 #     l=[]
      13 #     # print(os.cpu_count()) #本机为8核
      14 #     start=time.time()
      15 #     for i in range(8):
      16 #         # p=Process(target=work) #耗时8s多
      17 #         p=Thread(target=work) #耗时37s多
      18 #         l.append(p)
      19 #         p.start()
      20 #     for p in l:
      21 #         p.join()
      22 #     stop=time.time()
      23 #     print('run time is %s' %(stop-start))
      24 
      25 
      26 # IO密集型:用多线程
      27 from multiprocessing import Process
      28 from threading import Thread
      29 import threading
      30 import os,time
      31 
      32 def work():
      33     time.sleep(2)
      34 
      35 if __name__ == '__main__':
      36     l=[]
      37     # print(os.cpu_count()) #本机为4核
      38     start=time.time()
      39     for i in range(400):
      40         # p=Process(target=work) #耗时2.697多,大部分时间耗费在创建进程上
      41         p=Thread(target=work) #耗时2.02多
      42         l.append(p)
      43         p.start()
      44     for p in l:
      45         p.join()
      46     stop=time.time()
      47     print('run time is %s' %(stop-start))
      GIL解释器锁
       1 # 死锁
       2 # from threading import Thread,Lock
       3 # import time
       4 #
       5 # mutexA=Lock()
       6 # mutexB=Lock()
       7 #
       8 # class MyThread(Thread):
       9 #     def run(self):
      10 #         self.f1()
      11 #         self.f2()
      12 #
      13 #     def f1(self):
      14 #         mutexA.acquire()
      15 #         print('%s 拿到了A锁' %self.name)
      16 #
      17 #         mutexB.acquire()
      18 #         print('%s 拿到了B锁' %self.name)
      19 #         mutexB.release()
      20 #
      21 #         mutexA.release()
      22 #
      23 #
      24 #     def f2(self):
      25 #         mutexB.acquire()
      26 #         print('%s 拿到了B锁' % self.name)
      27 #         time.sleep(0.1)
      28 #
      29 #         mutexA.acquire()
      30 #         print('%s 拿到了A锁' % self.name)
      31 #         mutexA.release()
      32 #
      33 #         mutexB.release()
      34 #
      35 # if __name__ == '__main__':
      36 #     for i in range(10):
      37 #         t=MyThread()
      38 #         t.start()
      39 
      40 
      41 # 互斥锁只能acquire一次
      42 # from threading import Thread,Lock
      43 #
      44 # mutexA=Lock()
      45 #
      46 # mutexA.acquire()
      47 # mutexA.release()
      48 
      49 
      50 # 递归锁:可以连续acquire多次,每acquire一次计数器+1,只有计数为0时,才能被抢到acquire
      51 from threading import Thread,RLock
      52 import time
      53 
      54 mutexB=mutexA=RLock()
      55 
      56 class MyThread(Thread):
      57     def run(self):
      58         self.f1()
      59         self.f2()
      60 
      61     def f1(self):
      62         mutexA.acquire()
      63         print('%s 拿到了A锁' %self.name)
      64 
      65         mutexB.acquire()
      66         print('%s 拿到了B锁' %self.name)
      67         mutexB.release()
      68 
      69         mutexA.release()
      70 
      71 
      72     def f2(self):
      73         mutexB.acquire()
      74         print('%s 拿到了B锁' % self.name)
      75         time.sleep(7)
      76 
      77         mutexA.acquire()
      78         print('%s 拿到了A锁' % self.name)
      79         mutexA.release()
      80 
      81         mutexB.release()
      82 
      83 if __name__ == '__main__':
      84     for i in range(10):
      85         t=MyThread()
      86         t.start()
      死锁和递归锁
       1 from threading import Thread,Semaphore,currentThread
       2 import time,random
       3 
       4 sm=Semaphore(3)
       5 
       6 def task():
       7     # sm.acquire()
       8     # print('%s in' %currentThread().getName())
       9     # sm.release()
      10     with sm:
      11         print('%s in' %currentThread().getName())
      12         time.sleep(random.randint(1,3))
      13 
      14 
      15 if __name__ == '__main__':
      16     for i in range(10):
      17         t=Thread(target=task)
      18         t.start()
      信号量
       1 # from threading import Thread,Event
       2 # import time
       3 #
       4 # event=Event()
       5 # # event.wait()
       6 # # event.set()
       7 #
       8 #
       9 # def student(name):
      10 #     print('学生%s 正在听课' %name)
      11 #     event.wait(2)
      12 #     print('学生%s 课间活动' %name)
      13 #
      14 #
      15 # def teacher(name):
      16 #     print('老师%s 正在授课' %name)
      17 #     time.sleep(7)
      18 #     event.set()
      19 #
      20 #
      21 # if __name__ == '__main__':
      22 #     stu1=Thread(target=student,args=('alex',))
      23 #     stu2=Thread(target=student,args=('wxx',))
      24 #     stu3=Thread(target=student,args=('yxx',))
      25 #     t1=Thread(target=teacher,args=('egon',))
      26 #
      27 #     stu1.start()
      28 #     stu2.start()
      29 #     stu3.start()
      30 #     t1.start()
      31 
      32 
      33 
      34 from threading import Thread,Event,currentThread
      35 import time
      36 
      37 event=Event()
      38 
      39 def conn():
      40     n=0
      41     while not event.is_set():
      42         if n == 3:
      43             print('%s try too many times' %currentThread().getName())
      44             return
      45         print('%s try %s' %(currentThread().getName(),n))
      46         event.wait(0.5)
      47         n+=1
      48 
      49     print('%s is connected' %currentThread().getName())
      50 
      51 
      52 def check():
      53     print('%s is checking' %currentThread().getName())
      54     time.sleep(5)
      55     event.set()
      56 
      57 
      58 if __name__ == '__main__':
      59     for i in range(3):
      60         t=Thread(target=conn)
      61         t.start()
      62     t=Thread(target=check)
      63     t.start()
      Event事件
       1 # from threading import Timer
       2 #
       3 # def task(name):
       4 #     print('hello %s' %name)
       5 #
       6 #
       7 # t=Timer(5,task,args=('egon',))
       8 # t.start()
       9 
      10 from threading import Timer
      11 import random
      12 
      13 class Code:
      14     def __init__(self):
      15         self.make_cache()
      16 
      17     def make_cache(self,interval=5):
      18         self.cache=self.make_code()
      19         print(self.cache)
      20         self.t=Timer(interval,self.make_cache)
      21         self.t.start()
      22 
      23     def make_code(self,n=4):
      24         res=''
      25         for i in range(n):
      26             s1=str(random.randint(0,9))
      27             s2=chr(random.randint(65,90))
      28             res+=random.choice([s1,s2])
      29         return res
      30 
      31     def check(self):
      32         while True:
      33             code=input('请输入你的验证码>>: ').strip()
      34             if code.upper() == self.cache:
      35                 print('验证码输入正确')
      36                 self.t.cancel()
      37                 break
      38 
      39 
      40 obj=Code()
      41 obj.check()
      定时器
       1 import queue
       2 
       3 # q=queue.Queue(3) #先进先出->队列
       4 #
       5 # q.put('first')
       6 # q.put(2)
       7 # q.put('third')
       8 # # q.put(4)
       9 # # q.put(4,block=False) #q.put_nowait(4)
      10 # # q.put(4,block=True,timeout=3)
      11 #
      12 #
      13 # #
      14 # print(q.get())
      15 # print(q.get())
      16 # print(q.get())
      17 # # print(q.get(block=False)) #q.get_nowait()
      18 # # print(q.get_nowait())
      19 #
      20 # # print(q.get(block=True,timeout=3))
      21 
      22 
      23 # q=queue.LifoQueue(3) #后进先出->堆栈
      24 # q.put('first')
      25 # q.put(2)
      26 # q.put('third')
      27 #
      28 # print(q.get())
      29 # print(q.get())
      30 # print(q.get())
      31 
      32 #
      33 # q=queue.PriorityQueue(3) #优先级队列
      34 #
      35 # q.put((10,'one'))
      36 # q.put((40,'two'))
      37 # q.put((30,'three'))
      38 #
      39 # print(q.get())
      40 # print(q.get())
      41 # print(q.get())
      线程queue
    • 线程池&进程池
      # from concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor
      # import os,time,random
      #
      # def task(name):
      #     print('name:%s pid:%s run' %(name,os.getpid()))
      #     time.sleep(random.randint(1,3))
      #
      #
      # if __name__ == '__main__':
      #     # pool=ProcessPoolExecutor(4)
      #     pool=ThreadPoolExecutor(5)
      #
      #     for i in range(10):
      #         pool.submit(task,'egon%s' %i)
      #
      #     pool.shutdown(wait=True)
      #
      #
      #     print('')
      
      
      from concurrent.futures import ProcessPoolExecutor,ThreadPoolExecutor
      from threading import currentThread
      import os,time,random
      
      def task():
          print('name:%s pid:%s run' %(currentThread().getName(),os.getpid()))
          time.sleep(random.randint(1,3))
      
      
      if __name__ == '__main__':
          pool=ThreadPoolExecutor(5)
      
          for i in range(10):
              pool.submit(task,)
      
          pool.shutdown(wait=True)
      
      
          print('')
      
      
      
          
      进程池-线程池的开启
       1 #提交任务的两种方式
       2 #1、同步调用:提交完任务后,就在原地等待任务执行完毕,拿到结果,再执行下一行代码,导致程序是串行执行
       3 #
       4 # from concurrent.futures import ThreadPoolExecutor
       5 # import time
       6 # import random
       7 #
       8 # def la(name):
       9 #     print('%s is laing' %name)
      10 #     time.sleep(random.randint(3,5))
      11 #     res=random.randint(7,13)*'#'
      12 #     return {'name':name,'res':res}
      13 #
      14 # def weigh(shit):
      15 #     name=shit['name']
      16 #     size=len(shit['res'])
      17 #     print('%s 拉了 《%s》kg' %(name,size))
      18 #
      19 #
      20 # if __name__ == '__main__':
      21 #     pool=ThreadPoolExecutor(13)
      22 #
      23 #     shit1=pool.submit(la,'alex').result()
      24 #     weigh(shit1)
      25 #
      26 #     shit2=pool.submit(la,'wupeiqi').result()
      27 #     weigh(shit2)
      28 #
      29 #     shit3=pool.submit(la,'yuanhao').result()
      30 #     weigh(shit3)
      31 
      32 
      33 #2、异步调用:提交完任务后,不地等待任务执行完毕,
      34 
      35 from concurrent.futures import ThreadPoolExecutor
      36 import time
      37 import random
      38 
      39 def la(name):
      40     print('%s is laing' %name)
      41     time.sleep(random.randint(3,5))
      42     res=random.randint(7,13)*'#'
      43     return {'name':name,'res':res}
      44 
      45 
      46 def weigh(shit):
      47     shit=shit.result()
      48     name=shit['name']
      49     size=len(shit['res'])
      50     print('%s 拉了 《%s》kg' %(name,size))
      51 
      52 
      53 if __name__ == '__main__':
      54     pool=ThreadPoolExecutor(13)
      55 
      56     pool.submit(la,'alex').add_done_callback(weigh)
      57 
      58     pool.submit(la,'wupeiqi').add_done_callback(weigh)
      59 
      60     pool.submit(la,'yuanhao').add_done_callback(weigh)
      异步调用&回调机制
       1 from concurrent.futures import ThreadPoolExecutor
       2 import requests
       3 import time
       4 
       5 def get(url):
       6     print('GET %s' %url)
       7     response=requests.get(url)
       8     time.sleep(3)
       9     return {'url':url,'content':response.text}
      10 
      11 
      12 def parse(res):
      13     res=res.result()
      14     print('%s parse res is %s' %(res['url'],len(res['content'])))
      15 
      16 
      17 if __name__ == '__main__':
      18     urls=[
      19         'http://www.cnblogs.com/linhaifeng',
      20         'https://www.python.org',
      21         'https://www.openstack.org',
      22     ]
      23 
      24     pool=ThreadPoolExecutor(2)
      25 
      26     for url in urls:
      27         pool.submit(get,url).add_done_callback(parse)
      线程池 示例
    • 协程
       1 #并发执行
       2 import time
       3 
       4 def producer():
       5     g=consumer()
       6     next(g)
       7     for i in range(10000000):
       8         g.send(i)
       9 
      10 
      11 
      12 def consumer():
      13     while True:
      14         res=yield
      15 
      16 
      17 start_time=time.time()
      18 producer()
      19 stop_time=time.time()
      20 print(stop_time-start_time)
      21 
      22 
      23 
      24 #串行
      25 import time
      26 
      27 def producer():
      28     res=[]
      29     for i in range(10000000):
      30         res.append(i)
      31     return res
      32 
      33 
      34 def consumer(res):
      35     pass
      36 
      37 
      38 start_time=time.time()
      39 res=producer()
      40 consumer(res)
      41 stop_time=time.time()
      42 print(stop_time-start_time)
      协程
       1 #pip3 install greenlet
       2 from greenlet import greenlet
       3 import time
       4 
       5 def eat(name):
       6     print('%s eat 1' %name)
       7     time.sleep(10)
       8     g2.switch('egon')
       9     print('%s eat 2' %name)
      10     g2.switch()
      11 
      12 def play(name):
      13     print('%s play 1' %name )
      14     g1.switch()
      15     print('%s play 2' %name )
      16 
      17 
      18 g1=greenlet(eat)
      19 g2=greenlet(play)
      20 
      21 g1.switch('egon')
      greenlet模块
       1 #pip3 install gevent
       2 # from gevent import monkey;monkey.patch_all()
       3 # import gevent
       4 # import time
       5 #
       6 #
       7 # def eat(name):
       8 #     print('%s eat 1' % name)
       9 #     time.sleep(3)
      10 #     print('%s eat 2' % name)
      11 #
      12 #
      13 # def play(name):
      14 #     print('%s play 1' % name)
      15 #     time.sleep(4)
      16 #     print('%s play 2' % name)
      17 #
      18 #
      19 # start_time=time.time()
      20 # g1=gevent.spawn(eat,'egon')
      21 # g2=gevent.spawn(play,'alex')
      22 #
      23 #
      24 # g1.join()
      25 # g2.join()
      26 # stop_time=time.time()
      27 # print(stop_time-start_time)
      28 
      29 
      30 from gevent import monkey;monkey.patch_all()
      31 import gevent
      32 import time
      33 
      34 
      35 def eat(name):
      36     print('%s eat 1' % name)
      37     time.sleep(3)
      38     print('%s eat 2' % name)
      39 
      40 
      41 def play(name):
      42     print('%s play 1' % name)
      43     time.sleep(4)
      44     print('%s play 2' % name)
      45 
      46 
      47 g1=gevent.spawn(eat,'egon')
      48 g2=gevent.spawn(play,'alex')
      49 
      50 
      51 # time.sleep(5)
      52 
      53 
      54 # g1.join()
      55 # g2.join()
      56 
      57 gevent.joinall([g1,g2])
      gevent模块(自动切换)
    作者:华王 博客:https://www.cnblogs.com/huahuawang/
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  • 原文地址:https://www.cnblogs.com/huahuawang/p/14725519.html
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