On 08Oct2018 10:56, Ram Rachum <r...@rachum.com> wrote:
That's incredibly interesting. I've never used mmap before.
However, there's a problem.
I did a few experiments with mmap now, this is the latest:
path = pathlib.Path(r'P:\huge_file')
with path.open('r') as file:
mmap = mmap.mmap(file.fileno(), 0, access=mmap.ACCESS_READ)
Just a remark: don't tromp on the "mmap" name. Maybe "mapped"?
for match in re.finditer(b'.', mmap):
pass
The file is 338GB in size, and it seems that Python is trying to load it
into memory. The process is now taking 4GB RAM and it's growing. I saw the
same behavior when searching for a non-existing match.
Should I open a Python bug for this?
Probably not. First figure out what is going on. BTW, how much RAM have you
got?
As you access the mapped file the OS will try to keep it in memory in case you
need that again. In the absense of competition, most stuff will get paged out
to accomodate it. That's normal. All the data are "clean" (unmodified) so the
OS can simply release the older pages instantly if something else needs the
RAM.
However, another possibility is the the regexp is consuming lots of memory.
The regexp seems simple enough (b'.'), so I doubt it is leaking memory like
mad; I'm guessing you're just seeing the OS page in as much of the file as it
can.
Also, does the loop iterate? i.e. does it find multiple matches as the memory
gets consumed, or is the first iateration blocking and consuming gobs of memory
before the first match comes back? A print() call will tell you that.
Cheers,
Cameron Simpson <c...@cskk.id.au>
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