问题描述
我有一个大文本文件(〜7 GB).我正在寻找是否存在读取大文本文件的最快方法.我一直在阅读有关使用几种方法逐块读取的方法，以加快处理速度.
i have a large text file (~7 GB). I am looking if exist the fastest way to read large text file. I have been reading about using several approach as read chunk-by-chunk in order to speed the process.
例如 effbot 建议
# File: readline-example-3.py
file = open("sample.txt")
while 1:
lines = file.readlines(100000)
if not lines:
break
for line in lines:
pass # do something**strong text**
以便每秒处理96,900行文本.其他作者建议使用islice ()
in order to process 96,900 lines of text per second.Other authors suggest to use islice()
from itertools import islice
with open(...) as f:
while True:
next_n_lines = list(islice(f, n))
if not next_n_lines:
break
# process next_n_lines
list(islice(f, n))将返回文件f的下一个n行的列表.在循环中使用它会以n行
list(islice(f, n)) will return a list of the next n lines of the file f. Using this inside a loop will give you the file in chunks of n lines
推荐答案
with open(<FILE>) as FileObj:
for lines in FileObj:
print lines # or do some other thing with the line...
一次将读取一行到内存，并在完成后关闭文件...
will read one line at the time to memory, and close the file when done...
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