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What I Know About
Python Performance
A. Jesse Jiryu Davis

http://emptysqua.re

MongoDB
Agenda

• Single-threaded
• Multi-threaded
• Gevent
Single-Threaded
Why is Python slow?




• Everything’s an object

• Lookup
Everything’s an object
def f():!
i = 2000!
i += 1!
Everything’s an object

import dis!
dis.dis(f)!
Everything’s an object
def f():!
i = 2000!
i += 1
0
3
6
9
12
13

LOAD_CONST
STORE_FAST
LOAD_FAST
LOAD_CONST
INPLACE_ADD!
STORE_FAST

1
0
0
2

(2000)!
(i)!
(i)!
(1)!

0 (i)!
Everything’s an object
def f():!
i = 2000!
i += 1

malloc!
0
3
6
9
12
13

LOAD_CONST
STORE_FAST
LOAD_FAST
LOAD_CONST
INPLACE_ADD!
STORE_FAST

1
0
0
2

(2000)!
(i)!
malloc!
(i)!
(1)!

0 (i)!
Everything’s an object
12 seconds for 100M numbers:
total = 0!
for i in longs:!
total += i!
print float(total) / len(longs)
Everything’s an object
1 second for 100M numbers:

print float(sum(longs)) / len(longs)
Everything’s an object
0.2 seconds for 100M numbers:

print numpy.mean(array)
Lookup
n = 1!
!

def f():!
print n!
n = 1!
!

def f():!
print n!

0 LOAD_GLOBAL
3 PRINT_ITEM!
4 PRINT_NEWLINE
hashtable lookup

0 (n)!
n = 1!
!

def f(n=n):!
print n!

0 LOAD_FAST
3 PRINT_ITEM!
4 PRINT_NEWLINE
array offset

0 (n)!
Profiling
Profiling
import yappi!
!

yappi.start(builtins=True)!
my_function()!
yappi.stop()!
stats = yappi.get_func_stats()!
stats.save('yappi.callgrind', type='callgrind')!
KCacheGrind
KCacheGrind
Multi-threaded
Multi-threaded
When is the GIL released?




• Every 100 bytecodes

• Acquiring other locks

• Network or file operations
Multi-threaded
Because:
Py_BEGIN_ALLOW_THREADS!
outlen = recv(s->sock_fd, cbuf, len);!
Py_END_ALLOW_THREADS!

socketmodule.c
Multi-threaded
Because:
Py_BEGIN_ALLOW_THREADS!
outlen = recv(s->sock_fd, cbuf, len);!
Py_END_ALLOW_THREADS!

release the GIL!

socketmodule.c
Multi-threaded
This makes sense:
threads = [!
threading.Thread(target=download_a_url())!
for _ in range(10)]!
!

for t in threads:!
t.start()!
!

for t in threads:!
t.join()!
Multi-threaded
This makes no sense:
threads = [!
threading.Thread(target=do_calculations())!
for _ in range(10)]!
!

for t in threads:!
t.start()!
!

for t in threads:!
t.join()!
Gevent
from gevent import monkey!
monkey.patch_all()!
!

threads = [!
threading.Thread(target=download_a_url())]!
!

for t in threads:!
t.start()!
!

for t in threads:!
t.join()!

actually a greenlet
GreenletProfiler
Links

http://bit.ly/pythonperformance

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Python Performance: Single-threaded, multi-threaded, and Gevent