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


当前回答

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

其他回答

join()方法

阻塞调用线程,直到调用join()方法的线程终止。

来源:http://docs.python.org/2/library/threading.html

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。

主线程(或任何其他线程)加入其他线程有几个原因

线程可能已经创建或持有(锁定)一些资源。调用连接的线程可以代表它清除资源 Join()是一个自然的阻塞调用,用于调用连接的线程在被调用的线程终止后继续执行。

如果一个python程序没有加入其他线程,python解释器仍然会代表它加入非守护线程。

使用join -解释器将等待您的进程完成或终止

>>> from threading import Thread
>>> import time
>>> def sam():
...   print 'started'
...   time.sleep(10)
...   print 'waiting for 10sec'
... 
>>> t = Thread(target=sam)
>>> t.start()
started

>>> t.join() # with join interpreter will wait until your process get completed or terminated
done?   # this line printed after thread execution stopped i.e after 10sec
waiting for 10sec
>>> done?

没有join -解释器不会等待进程被终止,

>>> t = Thread(target=sam)
>>> t.start()
started
>>> print 'yes done' #without join interpreter wont wait until process get terminated
yes done
>>> waiting for 10sec

Join()同时等待非守护进程和守护进程线程完成。 如果没有join(),将运行非守护进程线程,并与主线程并发完成。 如果没有join(),守护线程将与主线程并发运行,当主线程完成时,如果守护线程仍在运行,守护线程将在未完成的情况下退出。

因此,下面的join()和daemon=False(守护线程)(daemon默认为False):

import time
from threading import Thread

def test1():
    for _ in range(3):
        print("Test1 is running...")
        time.sleep(1)
    print("Test1 is completed")
    
def test2():
    for _ in range(3):
        print("Test2 is running...")
        time.sleep(1)
    print("Test2 is completed")
                               # Here
thread1 = Thread(target=test1, daemon=False)
thread2 = Thread(target=test2, daemon=False)
                               # Here
thread1.start()
thread2.start()
thread1.join() # Here
thread2.join() # Here
print("Main is completed")

或者,使用join()和daemon=True(非守护线程):

# ...
                               # Here
thread1 = Thread(target=test1, daemon=True)
thread2 = Thread(target=test2, daemon=True)
                               # Here
# ...
thread1.join() # Here
thread2.join() # Here
print("Main is completed")

join()等待Test1和Test2非守护进程或守护进程线程完成。因此,Main is completed在Test1和Test2线程完成后打印,如下所示:

Test1 is running...
Test2 is running...
Test1 is running...
Test2 is running...
Test1 is running...
Test2 is running...
Test1 is completed
Test2 is completed
Main is completed

并且,如果不使用join(),如果daemon=False(非守护线程):

# ...
                               # Here
thread1 = Thread(target=test1, daemon=False)
thread2 = Thread(target=test2, daemon=False)
                               # Here
# ...
# thread1.join()
# thread2.join()
print("Main is completed")

Test1和Test2非守护线程正在与主线程并发地运行和完成。因此,Main is completed在Test1和Test2线程完成之前打印,如下所示:

Test1 is running...
Test2 is running...
Main is completed
Test1 is running...
Test2 is running...
Test1 is running...
Test2 is running...
Test1 is completed
Test2 is completed

并且,如果没有使用join(),如果daemon=True(守护线程):

# ...
                               # Here
thread1 = Thread(target=test1, daemon=True)
thread2 = Thread(target=test2, daemon=True)
                               # Here
# ...
# thread1.join()
# thread2.join()
print("Main is completed")

Test1和Test2守护线程与主线程并发运行。因此,Main is completed在Test1和Test2守护线程完成之前打印,当主线程完成时,Test1和Test2守护线程将在未完成的情况下退出,如下所示:

Test1 is running...
Test2 is running...
Main is completed