threads.append(thread4)#Wait for all threads to completefortinthreads: t.join()print"Exiting Main Thread"
# Start new threads thread1.start() thread2.start() # Add threads to thread list threads.append(thread1) threads.append(thread2) # Wait for all threads to complete for t in threads: t.join() print "Exiting Main Thread" 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14....
threadID+= 1#Fill the queuequeueLock.acquire()forwordinnameList: workQueue.put(word) queueLock.release()#Wait for queue to emptywhilenotworkQueue.empty():pass#Notify threads it's time to exitexitFlag = 1#Wait for all threads to completefortinthreads: t.join()print"Exiting Main Thread"...
Indicate that a formerly enqueued task is complete. Used by queue consumer threads. For each get() used to fetch a task, a subsequent call to task_done() tells the queue that the processing on the task is complete. If a join() is currently blocking, it will resume when all items have...
threads[-1].start() for thread in threads: """ Waits for threads to complete before moving on with the main script. """ thread.join() print(g) 最终输出的结果是3,通过Lock的使用,虽然在两个线程中修改了同一个全局变量,但两个线程是顺序计算出结果的。
threads[-1].start() for thread in threads: """ Waits for threads to complete before moving on with the main script. """ thread.join() print(g) 最终输出的结果是3,通过Lock的使用,虽然在两个线程中修改了同一个全局变量,但两个线程是顺序计算出结果的。
for process in processes: process.start() # wait for all processes to complete for process in processes: process.join() # report that all tasks are completed for loop的并行化 for循环是一个串行的过程。 # execute a task in a for-loop ...
importthreadingdefworker():print('Worker thread started')# do some work hereprint('Worker thread finished')# create a new threadt=threading.Thread(target=worker)# start the threadt.start()# wait for the thread to finisht.join() 在这个示例中,我们创建了一个名为worker的函数,它将在一个新的...
loop.run_until_complete(test_mysql()) 在上面的示例中,我们使用了aiomysql库来连接MySQL数据库,并使用async/await语法来执行异步操作。首先,我们使用aiomysql.connect()方法来连接MySQL数据库,然后使用await conn.cursor()方法创建游标,使用await cur.execute()方法执行SQL语句,使用await cur.fetchall()方法获取查询结...
queue=Queue()# Create8worker threadsforxinrange(8):worker=DownloadWorker(queue)# Setting daemon to True willletthe main thread exit even though the workers are blocking worker.daemon=True worker.start()# Put the tasks into the queueasa tupleforlinkinlinks:logger.info('Queueing {}'.format(lin...