Creating threads is very easy in Python. The following is the example that I use to demonstrate the multithreading in Python.
#!/usr/bin/env python import threading import time # lock to synchronize the message printing lock = threading.Lock() def tprint(msg): global lock lock.acquire() print msg lock.release() # first step, extend the Thread object class Test(threading.Thread): threadID = 0 # second step, override the constructor def __init__(self, ID): self.threadID = ID # make sure you invoke the parent constructor threading.Thread.__init__(self) # third step, implement the run(), which will be invoked # at the notation: thread.start() def run(self): tprint ("ThreadID = " + str(self.threadID)) print "You will see the difference", self.threadID time.sleep(self.threadID) tprint("Thread " + str(self.threadID) + " finishes.") if __name__ == "__main__": threads = [] # create threads and put them in the list for i in range(1, 3): t = Test(i) threads.append(t) # start each thread roughly at the same time for i in threads: i.start() for i in threads: if i.isAlive(): tprint(i.getName() + " is alive.") else: tprint(i.getName() + " is dead.") tprint('activeCount = ' + str(threading.activeCount())) tprint('currentThread = ' + str(threading.currentThread())) # synchronize all threads for i in threads: i.join() print threads[0].threadID print threads[1].threadID tprint("Main Thread")
The above example will output the following.
ThreadID = 1</div> You will see the difference ThreadID = 2 You will see the difference Thread-1 is alive. Thread-2 is alive. activeCount = 4 currentThread = <_MainThread(MainThread, started 2032)> Thread 1 finishes. Thread 2 finishes. 1 2 Main Thread
First of all, you need to import the threading module. This module provides the class Thread, which you should use as a parent class. The next would be to override the constructor __init__(self). Please note that you can add parameters to your own constructor as long as you remember to call the super constructor (parental constructor in Thread)
The run() method is an abstract super method which you need to implement in your own thread class. This method will be invoked when the notation thread.start() is used.
The print function is not thread-safe, that is why you will see messages interleaving each other from different threads if you do not use synchronization techniques. The threading module provides a Lock class which you can easily use to synchronize the resources. In the given example, the tprint function is defined which replaced the built-in print. It uses a lock to ensure at the same time, only one printing is allowed. The acquire() method will allow threads to enter critical sections, for those threads that haven’t obtained the lock, they will be kept waiting until the release() method is invoked by the thread which obtained the lock in the first place.
The threadID as shown in the example, is thread-var, which means, each thread has an individual copy of the variable (not shared). This maybe different in other programming languages, e.g. in Delphi, you have to declare the thread variables using keyword ‘threadvar’ otherwise all the variables e.g. class attributes will be treated as the same memory locations by all threads. At the end of the given example, the thread IDs are printed, which shows that the class attributes defined do not share the same memory locations (not static) by different threads.
The threading module provides some additional methods:
threading.activeCount(): Returns the number of thread objects that are active.
threading.currentThread(): Returns the number of thread objects in the caller’s thread control.
threading.enumerate(): Returns a list of all thread objects that are currently active.
The example given is pretty straightforward, and I hope you will start loving Python.
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