Python (List)反/序列化性能

Question

我正在编写一个脚本，它需要处理一个相当大(620,000字)的启动词典。输入词典被逐字处理成一个defaultdict(list)，其中键是字母bi，而值和值是包含键字母n-gram的单词列表。

for word in lexicon_file:
    word = word.lower()
    for letter n-gram in word:
        lexicon[n-gram].append(word)

比如

> lexicon["ab"]
["abracadabra", "abbey", "abnormal"]

结果结构包含25000个键，每个键包含一个包含1到133 000个字符串的列表(平均500，中位数20)。所有字符串都采用windows-1250编码。

这个处理需要很长时间(考虑到脚本的预期实际运行时可以忽略不计，但在测试时通常会进行调整)，而且由于词汇表本身从未改变，所以我认为序列化结果的defaultdict(list)并在随后的每个启动时反序列化它可能会更快。

我发现，即使在使用cPickle时，反序列化过程也比简单地处理字典慢一倍，平均值接近：

> normal lexicon creation
45 seconds
> cPickle deserialization
80 seconds

我对序列化没有任何经验，但我希望反序列化比正常处理更快，至少对于cPickle模块是这样。

我的问题是，这个结果是否值得期待？为什么？有什么方法可以更快地存储/加载我的结构吗？

Answer 1

解决这类问题的最好方法是编写一系列测试，并使用timeit查看哪个测试更快。我在下面做了一些测试，但是你应该用你的字典字典来尝试，因为你的结果可能会有所不同。

如果希望时间更稳定(准确)，可以将number参数增加到timeit --这只会使测试耗时更长。另外，请注意，timeit返回的值是总执行时间，而不是每次运行的时间。

testing with 10 keys...
serialize flat: 2.97198390961
serialize eval: 4.60271120071
serialize defaultdict: 20.3057091236
serialize dict: 20.2011070251
serialize defaultdict new pickle: 14.5152060986
serialize dict new pickle: 14.7755970955
serialize json: 13.5039670467
serialize cjson: 4.0456969738
unserialize flat: 1.29577493668
unserialize eval: 25.6548647881
unserialize defaultdict: 10.2215960026
unserialize dict: 10.208122015
unserialize defaultdict new pickle: 5.70747089386
unserialize dict new pickle: 5.69750404358
unserialize json: 5.34811091423
unserialize cjson: 1.50241613388
testing with 100 keys...
serialize flat: 2.91076397896
serialize eval: 4.72978711128
serialize defaultdict: 21.331786871
serialize dict: 21.3218340874
serialize defaultdict new pickle: 15.7140991688
serialize dict new pickle: 15.6440980434
serialize json: 14.3557379246
serialize cjson: 5.00576901436
unserialize flat: 1.6677339077
unserialize eval: 22.9142649174
unserialize defaultdict: 10.7773029804
unserialize dict: 10.7524499893
unserialize defaultdict new pickle: 6.13370203972
unserialize dict new pickle: 6.18057107925
unserialize json: 5.92281794548
unserialize cjson: 1.91151690483

代码：

import cPickle
import json
try:
    import cjson  # not Python standard library
except ImportError:
    cjson = False
from collections import defaultdict

dd1 = defaultdict(list)
dd2 = defaultdict(list)

for i in xrange(1000000):
    dd1[str(i % 10)].append(str(i))  
    dd2[str(i % 100)].append(str(i))

dt1 = dict(dd1)
dt2 = dict(dd2)

from timeit import timeit

def testdict(dd, dt):
    def serialize_defaultdict():
        with open('defaultdict.pickle', 'w') as f:
            cPickle.dump(dd, f)

    def serialize_p2_defaultdict():
        with open('defaultdict.pickle2', 'w') as f:
            cPickle.dump(dd, f, -1)

    def serialize_dict():
        with open('dict.pickle', 'w') as f:
            cPickle.dump(dt, f)

    def serialize_p2_dict():
        with open('dict.pickle2', 'w') as f:
            cPickle.dump(dt, f, -1)

    def serialize_json():
        with open('dict.json', 'w') as f:
            json.dump(dt, f)

    if cjson:
        def serialize_cjson():
            with open('dict.cjson', 'w') as f:
                f.write(cjson.encode(dt))

    def serialize_flat():
        with open('dict.flat', 'w') as f:
            f.write('\n'.join([' '.join([k] + v) for k, v in dt.iteritems()]))

    def serialize_eval():
        with open('dict.eval', 'w') as f:
            f.write('\n'.join([k + '\t' + repr(v) for k, v in dt.iteritems()]))

    def unserialize_defaultdict():
        with open('defaultdict.pickle') as f:
            assert cPickle.load(f) == dd

    def unserialize_p2_defaultdict():
        with open('defaultdict.pickle2') as f:
            assert cPickle.load(f) == dd

    def unserialize_dict():
        with open('dict.pickle') as f:
            assert cPickle.load(f) == dt

    def unserialize_p2_dict():
        with open('dict.pickle2') as f:
            assert cPickle.load(f) == dt

    def unserialize_json():
        with open('dict.json') as f:
            assert json.load(f) == dt

    if cjson:
        def unserialize_cjson():
            with open('dict.cjson') as f:
                assert cjson.decode(f.read()) == dt

    def unserialize_flat():
        with open('dict.flat') as f:
            dtx = {}
            for line in f:                                                                                                                                                                                                                                
                vals = line.split()
                dtx[vals[0]] = vals[1:]
            assert dtx == dt

    def unserialize_eval():
        with open('dict.eval') as f:
            dtx = {}
            for line in f:                                                                                                                                                                                                                                       
                vals = line.split('\t')
                dtx[vals[0]] = eval(vals[1])
            assert dtx == dt

    print 'serialize flat:', timeit(serialize_flat, number=10)
    print 'serialize eval:', timeit(serialize_eval, number=10)
    print 'serialize defaultdict:', timeit(serialize_defaultdict, number=10)
    print 'serialize dict:', timeit(serialize_dict, number=10)
    print 'serialize defaultdict new pickle:', timeit(serialize_p2_defaultdict, number=10)
    print 'serialize dict new pickle:', timeit(serialize_p2_dict, number=10)
    print 'serialize json:', timeit(serialize_json, number=10)
    if cjson:
        print 'serialize cjson:', timeit(serialize_cjson, number=10)
    print 'unserialize flat:', timeit(unserialize_flat, number=10)
    print 'unserialize eval:', timeit(unserialize_eval, number=10)
    print 'unserialize defaultdict:', timeit(unserialize_defaultdict, number=10)
    print 'unserialize dict:', timeit(unserialize_dict, number=10)
    print 'unserialize defaultdict new pickle:', timeit(unserialize_p2_defaultdict, number=10)
    print 'unserialize dict new pickle:', timeit(unserialize_p2_dict, number=10)
    print 'unserialize json:', timeit(unserialize_json, number=10)
    if cjson:
        print 'unserialize cjson:', timeit(unserialize_cjson, number=10)

print 'testing with 10 keys...'
testdict(dd1, dt1)

print 'testing with 100 keys...'
testdict(dd2, dt2)