ciso8601 性能对比 datetime 默认库

In [1]: import datetime, aniso8601, iso8601, isodate, dateutil.parser, arrow, ciso8601

In [2]: ds = u'2014-01-09T21:48:00.921000'

In [3]: %timeit ciso8601.parse_datetime(ds)
1000000 loops, best of 3: 204 ns per loop

In [4]: %timeit datetime.datetime.strptime(ds, "%Y-%m-%dT%H:%M:%S.%f")
100000 loops, best of 3: 15 µs per loop

In [5]: %timeit dateutil.parser.parse(ds)
10000 loops, best of 3: 122 µs per loop

In [6]: %timeit aniso8601.parse_datetime(ds)
10000 loops, best of 3: 28.9 µs per loop

In [7]: %timeit iso8601.parse_date(ds)
10000 loops, best of 3: 42 µs per loop

In [8]: %timeit isodate.parse_datetime(ds)
10000 loops, best of 3: 69.4 µs per loop

In [9]: %timeit arrow.get(ds).datetime
10000 loops, best of 3: 87 µs per loop
In [1]: import datetime, aniso8601, iso8601, isodate, dateutil.parser, arrow, ciso8601

In [2]: ds = u'2014-01-09T21:48:00.921000+05:30'

In [3]: %timeit ciso8601.parse_datetime(ds)
1000000 loops, best of 3: 525 ns per loop

In [4]: %timeit dateutil.parser.parse(ds)
10000 loops, best of 3: 162 µs per loop

In [5]: %timeit aniso8601.parse_datetime(ds)
10000 loops, best of 3: 36.8 µs per loop

In [6]: %timeit iso8601.parse_date(ds)
10000 loops, best of 3: 53.5 µs per loop

In [7]: %timeit isodate.parse_datetime(ds)
10000 loops, best of 3: 82.6 µs per loop

In [8]: %timeit arrow.get(ds).datetime
10000 loops, best of 3: 104 µs per loop

 


Even with time zone information, ciso8601 is 70x as fast as aniso8601.

Tested on Python 2.7.10 on macOS 10.12.6 using the following modules:


 
 
 ciso8601 是纳秒级别的,如果要对上千万的数据操作,建议使用ciso这个C库。
 

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