看我打臉Message Pack

總之網站上說得很好啦：http://msgpack.org/，又快，生成的文件又小等等，總之就是很牛逼的救世主咯

由於忍受不了 pickle 的速度，因此嘗試切換一下。

import pickle
import msgpack
import gc

a = list(range(10000*10000))

def dump1():
    with open('1', 'wb') as f:
        pickle.dump(a, f)

def dump2():
    with open('2', 'wb') as f:
        msgpack.dump(a, f)

def dump3():
    gc.disable()
    with open('2', 'wb') as f:
        msgpack.dump(a, f)
    gc.enable()

而後測速，有 dump3 的緣由是官方網站說關閉gc有奇效:

CPython's GC starts when growing allocated object. This means unpacking may cause useless GC. You can use gc.disable() when unpacking large message.

恩，先看測試結果(測試了10次):

dump1: 1 loop, best of 3: 3.98 s per loop
dump2: 1 loop, best of 10: 5.22 s per loop
dump3: 1 loop, best of 10: 5.13 s per loop

恩，完全打臉了。關閉gc也沒有奇效。

而後看dump出來的文件 (=，=b):

-rw-r--r--  1 chendx  staff   477M  8 11 18:43 1
-rw-r--r--  1 chendx  staff   477M  8 11 18:49 2

恩，浪費個人時間……

---

而後不死心

def load1():
    with open('1', 'rb') as f:
        pickle.load(f)

def load2():
    with open('2', 'rb') as f:
        msgpack.load(f)

結果(仍是10次)

load1: 1 loop, best of 10: 6.78 s per loop
load2: 1 loop, best of 10: 5.91 s per loop

恩，真是雞肋啊