Memory leak in get_item_vector() ? about annoy

[erikbern]

does it eventually run out of memory and crash? i'm guessing it's just on the python side that the interpreter allocates memory. maybe it doesn't collect it until needed

[Jeffrey04]

@erikbern I did not really wait until it crashed in my actual application, as I was running it in a shared server. But the memory usage was maxed out and the server started swapping heavily.

[erikbern]

I think I've been able to repro is using this:

class MemoryLeakTest(TestCase):
    def test_get_item_vector(self):
        f = 10
        i = AnnoyIndex(f, 'euclidean')
        i.add_item(0, [random.gauss(0, 1) for x in xrange(f)])
        for j in xrange(100 * 1000 * 1000):
            i.get_item_vector(0)

[erikbern]

great if you can take a look again

[Jeffrey04]

I will check again next week, thanks for the quick response

and HAPPY NEW YEAR #offtopic

[Jeffrey04]

oh, it is fixed, thanks (and sorry for taking this long to confirm)

[erikbern]

np (just published 1.7.0 to pypi with this fix in it)