Does the Python "open" function save its content in memory or in a temp file?

For the following Python code:

fp = open('output.txt', 'wb')
# Very big file, writes a lot of lines, n is a very large nu开发者_JAVA技巧mber
for i in range(1, n):
    fp.write('something' * n)
fp.close()

The writing process above can last more than 30 min. Sometimes I get the error MemoryError. Is the content of the file before closing stored in memory or written in a temp file? If it's in a temporary file, what is its general location on a Linux OS?

Edit:

Added fp.write in a for loop

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It's stored in the operating system's disk cache in memory until it is flushed to disk, either implicitly due to timing or space issues, or explicitly via fp.flush().

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There will be write buffering in the Linux kernel, but at (ir)regular intervals they will be flushed to disk. Running out of such buffer space should never cause an application-level memory error; the buffers should empty before that happens, pausing the application while doing so.

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Building on ataylor's comment to the question:

You might want to nest your loop. Something like

for i in range(1,n):
    for each in range n:
        fp.write('something')
fp.close()

That way, the only thing that gets put into memory is the string "something", not "something" * n.

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If you a writing out a large file for which the writes might fail you a better off flushing the file to disk yourself at regular intervals using fp.flush(). This way the file will be in a location of your choosing that you can easily get to rather than being at the mercy of the OS:

fp = open('output.txt', 'wb')
counter = 0
for line in many_lines:
    file.write(line)
    counter += 1
    if counter > 999:
        fp.flush()
fp.close()

This will flush the file to disk every 1000 lines.

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If you write line by line, it should not be a problem. You should show the code of what you are doing before the write. For a start you can try to delete objects where not necessary, use fp.flush() etc..

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File writing should never give a memory error; with all probability, you have some bug in another place.

If you have a loop, and a memory error, then I would look if you are "leaking" references to objects.
Something like:

def do_something(a, b = []):
    b.append(a)
    return b

fp = open('output.txt', 'wb') 

for i in range(1, n): 
    something = do_something(i)
    fp.write(something)

fp.close()

I am now picking just an example, but in your actual case the reference leak may be much more difficult to find; however this case will just leak memory inside do_something because of the way Python handles default parameters of functions.