我在学习python线程时遇到了join()。
作者告诉，如果线程在守护进程模式，那么我需要使用join()，以便线程可以在主线程终止之前完成自己。
但我也见过他使用t.join()，即使t不是daemon
示例代码如下所示
import threading
import time
import logging
logging.basicConfig(level=logging.DEBUG,
format='(%(threadName)-10s) %(message)s',
)
def daemon():
logging.debug('Starting')
time.sleep(2)
logging.debug('Exiting')
d = threading.Thread(name='daemon', target=daemon)
d.setDaemon(True)
def non_daemon():
logging.debug('Starting')
logging.debug('Exiting')
t = threading.Thread(name='non-daemon', target=non_daemon)
d.start()
t.start()
d.join()
t.join()
我不知道t.join()的用途是什么，因为它不是守护进程，即使我删除它，我也看不到任何变化
在python中3。X join()用于连接线程与主线程，即当join()用于特定线程时，主线程将停止执行，直到被连接的线程执行完成。
#1 - Without Join():
import threading
import time
def loiter():
print('You are loitering!')
time.sleep(5)
print('You are not loitering anymore!')
t1 = threading.Thread(target = loiter)
t1.start()
print('Hey, I do not want to loiter!')
'''
Output without join()-->
You are loitering!
Hey, I do not want to loiter!
You are not loitering anymore! #After 5 seconds --> This statement will be printed
'''
#2 - With Join():
import threading
import time
def loiter():
print('You are loitering!')
time.sleep(5)
print('You are not loitering anymore!')
t1 = threading.Thread(target = loiter)
t1.start()
t1.join()
print('Hey, I do not want to loiter!')
'''
Output with join() -->
You are loitering!
You are not loitering anymore! #After 5 seconds --> This statement will be printed
Hey, I do not want to loiter!
'''
直接从医生那里
加入((超时))
等待线程终止。这将阻塞调用线程，直到调用join()方法的线程终止—正常终止或通过未处理的异常终止—或者直到可选超时发生。
这意味着生成t和d的主线程等待t完成，直到它完成。
根据程序使用的逻辑，您可能希望等到主线程结束后再继续执行。
文档中还提到:
一个线程可以被标记为“守护线程”。这个标志的意义在于，当只剩下守护线程时，整个Python程序将退出。
举个简单的例子:
def non_daemon():
time.sleep(5)
print 'Test non-daemon'
t = threading.Thread(name='non-daemon', target=non_daemon)
t.start()
最后是:
print 'Test one'
t.join()
print 'Test two'
这将输出:
Test one
Test non-daemon
Test two
在这里，主线程显式地等待t线程完成，直到它第二次调用print。
另一种情况是:
print 'Test one'
print 'Test two'
t.join()
我们将得到这样的输出:
Test one
Test two
Test non-daemon
在这里，我们在主线程中完成工作，然后等待t线程完成。在这种情况下，我们甚至可以删除显式连接t.join()，程序将隐式地等待t完成。
下面的例子演示了.join()操作:
import threading
import time
def threaded_worker():
for r in range(10):
print('Other: ', r)
time.sleep(2)
thread_ = threading.Timer(1, threaded_worker)
thread_.daemon = True # If the main thread is killed, this thread will be killed as well.
thread_.start()
flag = True
for i in range(10):
print('Main: ', i)
time.sleep(2)
if flag and i > 4:
print(
'''
Threaded_worker() joined to the main thread.
Now we have a sequential behavior instead of concurrency.
''')
thread_.join()
flag = False
Out:
Main: 0
Other: 0
Main: 1
Other: 1
Main: 2
Other: 2
Main: 3
Other: 3
Main: 4
Other: 4
Main: 5
Other: 5
Threaded_worker() joined to the main thread.
Now we have a sequential behavior instead of concurrency.
Other: 6
Other: 7
Other: 8
Other: 9
Main: 6
Main: 7
Main: 8
Main: 9
在python中3。X join()用于连接线程与主线程，即当join()用于特定线程时，主线程将停止执行，直到被连接的线程执行完成。
#1 - Without Join():
import threading
import time
def loiter():
print('You are loitering!')
time.sleep(5)
print('You are not loitering anymore!')
t1 = threading.Thread(target = loiter)
t1.start()
print('Hey, I do not want to loiter!')
'''
Output without join()-->
You are loitering!
Hey, I do not want to loiter!
You are not loitering anymore! #After 5 seconds --> This statement will be printed
'''
#2 - With Join():
import threading
import time
def loiter():
print('You are loitering!')
time.sleep(5)
print('You are not loitering anymore!')
t1 = threading.Thread(target = loiter)
t1.start()
t1.join()
print('Hey, I do not want to loiter!')
'''
Output with join() -->
You are loitering!
You are not loitering anymore! #After 5 seconds --> This statement will be printed
Hey, I do not want to loiter!
'''
When making join(t) function for both non-daemon thread and daemon thread, the main thread (or main process) should wait t seconds, then can go further to work on its own process. During the t seconds waiting time, both of the children threads should do what they can do, such as printing out some text. After the t seconds, if non-daemon thread still didn't finish its job, and it still can finish it after the main process finishes its job, but for daemon thread, it just missed its opportunity window. However, it will eventually die after the python program exits. Please correct me if there is something wrong.
