I\'m learning multithreading in Python. I want to know how to provide data to multiple threads using generators. Here\'s what I wrote:
import threading
You instantiate a new generator in each thread in run
function with this:
for i in generator():
each generator
call returns a new instance of generator:
>>> data = [i for i in xrange(10)]
>>> a, b = generator(), generator()
>>> id(a), id(b)
(37528032, 37527952)
Here a
and b
have different ids, and generate identical results even without threading:
>>> list(a), list(b)
([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
Note however, that generators aren't thread safe, it is tricky to use them in threaded application. You have to worry about locking, see example, or you'll get ValueError: generator already executing
error once in a while. Alternatively you can use Queue.Queue for thread communication.
Can you just use Python Queue class. I believe that is thread safe. Basically you could just use your generator to fill the Queue and then have each thread pull from it.
#!/usr/bin/python
import Queue
import threading
queueOfNumbers = Queue.Queue()
data = [i for i in xrange(100)]
def generator():
for i in data:
yield i
class CountThread(threading.Thread):
def __init__(self, name, queue):
threading.Thread.__init__(self)
self.name = name
self.queue = queue
def run(self):
i = self.queue.get()
print '%s %s' % (self.name, i)
a = CountThread('a', queueOfNumbers)
b = CountThread('b', queueOfNumbers)
a.start()
b.start()
for num in generator():
queueOfNumbers.put(num)
queueOfNumbers.join()
http://www.ibm.com/developerworks/aix/library/au-threadingpython/