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python:python的多进程

https://docs.python.org/3.6/library/multiprocessing.html#examples 从这里改造而来: import time from urllib import request from multiprocessing import Process, Queue, current_process, freeze_support,cpu_count def worker2(input, output): for func, args in iter(input.get, 'STOP'): result = nety(func, args) output.put(result) def nety(func, args): result = func(args) return 'process: %s done func:%s url:%s' % \ (current_process().name, func.__name__, args) def getUrl(url): res=request.urlopen(url) #return res.read().decode('UTF-8') return res def test(): NUMBER_OF_PROCESSES = cpu_count()*2 urllist=['http://115.239.211.112/']*100 TASKS3=[(getUrl, url) for url in urllist] # Create queues task_queue = Queue() done_queue = Queue() # Submit tasks ''' for task in TASKS1: task_queue.put(task) ''' for task in TASKS3: task_queue.put(task) # Start worker processes for i in range(NUMBER_OF_PROCESSES): Process(target=worker2, args=(task_queue, done_queue)).start() # Get and print results print('Unordered results:') for i in range(len(TASKS3)): print('\t', done_queue.get()) # Tell child processes to stop for i in range(NUMBER_OF_PROCESSES): task_queue.put('STOP') if __name__ == '__main__': freeze_support() startTime=time.time() test() endTime=time.time() print(endTime-startTime) 改进版本: import time from urllib import request from multiprocessing import Process, Queue, current_process,cpu_count,freeze_support import os def worker2(queueIn, queueOut): for func, args in iter(queueIn.get, 'STOP'): result = netty(func, args) queueOut.put(result) def netty(func, args): result = func(args) #return ('process: %s done func:%s url:%s' % (current_process().name, func.__name__, args),result) return (args, result) #返回传入的参数和输出的结果 def getUrl(url): res=request.urlopen(url) #return res.read().decode('UTF-8') return res.read() def test(): NUMBER_OF_PROCESSES = cpu_count()*1 #urllist=['http://192.168.199.119:8080/']*10 urllist = [] urlFileName = 'urls\\urls.txt' with open(urlFileName,'r') as f: for line in f.readlines(): urllist.append(line.replace('\n','')) urllist = urllist*5 TASKS3 = [(getUrl, url) for url in urllist] # Create queues task_queue = Queue() done_queue = Queue() # Submit tasks for task in TASKS3: task_queue.put(task) # Start worker processes for i in range(NUMBER_OF_PROCESSES): Process(target=worker2, args=(task_queue, done_queue)).start() # Get and print results print('Unordered results:') for i in range(len(TASKS3)): # print(done_queue.get()) res=done_queue.get() url=res[0] data=res[1] #fileName = 'DATA\\'+url[7:].replace('/', '').replace(':', '_')+'_'+str(i)+'.txt' #fileName='DATA\\'+'data'+str(i)+'.data' fileName='DATA\\'+os.path.basename(url).replace('?','_')+'_'+str(i)+'.data' with open(fileName,'wb') as f: f.write(data) # Tell child processes to stop for i in range(NUMBER_OF_PROCESSES): task_queue.put('STOP') if __name__ == '__main__': freeze_support() startTime = time.time() test() endTime = time.time() print(endTime-startTime)

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进程绑定CPU简单应用

注:原发表在Hadoop技术论坛 相关函数:sched_setaffinity, sched_getaffinity,CPU_CLR, CPU_ISSET, CPU_SET, CPU_ZERO- set and get a process's CPU affinity mask大写数实际为宏,进行位操作的宏。 #define _GNU_SOURCE #include int sched_setaffinity(pid_t pid, unsigned int cpusetsize, cpu_set_t *mask); int sched_getaffinity(pid_t pid, unsigned int cpusetsize, cpu_set_t *mask); void CPU_CLR(int cpu, cpu_set_t *set); int CPU_ISSET(int cpu, cpu_set_t *set); void CPU_SET(int cpu, cpu_set_t *set); void CPU_ZERO(cpu_set_t *set);CPU_ZERO(&mask);CPU_SET(cpu_id, &mask);sched_setaffinity(pid, sizeof(mask), &mask);

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Rocky Linux

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