Python 实现,读取文件行数,类似 wc -l
的功能,小文件无所谓,如果遇到大文件(5G),就要选择一种性能较高的方法了。
列出一下方法:
1. readline 读所有行
def readline_count(file_name):
return len(open(file_name).readlines())
2. 依次读取文件每行内容进行计数
def simple_count(file_name):
lines = 0
for _ in open(file_name):
lines += 1
return lines
3. sum 计数
def sum_count(file_name):
return sum(1 for _ in open(file_name))
4. enumerate 枚举计数
def enumerate_count(file_name):
with open(file_name) as f:
for count, _ in enumerate(f, 1):
pass
return count
5. buff count 每次读取固定大小,然后统计行数
def buff_count(file_name):
with open(file_name, 'rb') as f:
count = 0
buf_size = 1024 * 1024
buf = f.read(buf_size)
while buf:
count += buf.count(b'\n')
buf = f.read(buf_size)
return count
6. 调用使用 wc 命令计算行
def wc_count(file_name):
import subprocess
out = subprocess.getoutput("wc -l %s" % file_name)
return int(out.split()[0])
7. 在buff_count基础上引入partial
def partial_count(file_name):
from functools import partial
buffer = 1024 * 1024
with open(file_name) as f:
return sum(x.count('\n') for x in iter(partial(f.read, buffer), ''))
8. iter count,在buff_count基础上引入itertools 模块
def iter_count(file_name):
from itertools import (takewhile, repeat)
buffer = 1024 * 1024
with open(file_name) as f:
buf_gen = takewhile(lambda x: x, (f.read(buffer) for _ in repeat(None)))
return sum(buf.count('\n') for buf in buf_gen)
方法 | 100M | 500M | 1G | 5G |
---|---|---|---|---|
readline_count | 0.25 | 1.82 | 3.27 | 45.04 |
simple_count | 0.13 | 0.85 | 1.58 | 13.54 |
sum_count | 0.15 | 0.77 | 1.59 | 14.07 |
enumerate_count | 0.15 | 0.8 | 1.6 | 13.37 |
buff_count | 0.13 | 0.62 | 1.18 | 10.21 |
wc_count | 0.09 | 0.53 | 0.99 | 9.47 |
partial_count | 0.12 | 0.55 | 1.11 | 8.92 |
iter_count | 0.08 | 0.42 | 0.83 | 8.33 |
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