[英]Reading a big file cost too much memory in Python 2.7
I used .readline() to parse file line by line, because I need to find out the start position to extract data into a list, and the end point to pause extracting, then repeat until the end of file. 我使用.readline()逐行解析文件,因为我需要找出将数据提取到列表中的开始位置,以及要暂停提取的结束点,然后重复直到文件结束。 My file to read is formatted like this:
我要读取的文件格式如下:
blabla... useless.... ... /sign/ data block(e.g. 10 cols x 1000 rows) ... blank line /sign/ data block(e.g. 10 cols x 1000 rows) ... blank line ... EOF
let's call this file 'myfile' and my python snippet: 让我们将此文件称为“ myfile”和我的python代码段:
f=open('myfile','r')
blocknum=0 #number the data block
data=[]
while True:
# find the extract begnning
while not f.readline().startswith('/sign/'):pass
# creat multidimensional list to store data block
data=append([])
blocknum +=1
line=f.readline()
while line.strip():
# check if the line is a blank line, i.e the end of one block
data[blocknum-1].append(["2.6E" %float(x) for x in line.split()])
line = f.readline()
print "Read Block %d" %blocknum
if not f.readline(): break
The running result was that read a 500M file consume almost 2GB RAM, I cannot figure it out, somebody help! 运行结果是,读取500M文件会消耗将近2GB的RAM,我无法弄清楚,有人帮忙! Thanks very much!
非常感谢!
You have quite a lot of non-pythonic ambiguous lines in your code. 您的代码中有很多非Python歧义的行。 I am not sure but think that you can modify your code the following way first and then check it again against memory usage:
我不确定,但是认为您可以先按照以下方式修改代码,然后根据内存使用情况再次检查代码:
data=[]
with open('myfile','r') as f:
for line in f:
# find the extract beginning - think you can add here more parameters to check
if not line.strip() or line.startswith('/sign/'):
continue
data.append(["%2.6E" % float(x) for x in line.strip().split()])
But I think that this code will also use quite a lot of memory - however if you don't really need to store all the read data from file you can modify code to use generator expression and proceed file data line by line - this would save your memory i guess. 但是我认为该代码还将占用大量内存-但是,如果您真的不需要存储从文件中读取的所有数据,则可以修改代码以使用生成器表达式并逐行处理文件数据-这样可以节省我想你的记忆。
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