问题
Is seems that the mmap interface only supports readline(). If I try to iterate over the object I get character instead of complete lines.
What would be the "pythonic" method of reading a mmap'ed file line by line?
import sys
import mmap
import os
if (len(sys.argv) > 1):
STAT_FILE=sys.argv[1]
print STAT_FILE
else:
print "Need to know <statistics file name path>"
sys.exit(1)
with open(STAT_FILE, "r") as f:
map = mmap.mmap(f.fileno(), 0, prot=mmap.PROT_READ)
for line in map:
print line # RETURNS single characters instead of whole line
回答1:
The most concise way to iterate over the lines of an mmap
is
with open(STAT_FILE, "r+b") as f:
map_file = mmap.mmap(f.fileno(), 0, prot=mmap.PROT_READ)
for line in iter(map_file.readline, b""):
# whatever
Note that in Python 3 the sentinel parameter of iter()
must be of type bytes
, while in Python 2 it needs to be a str
(i.e. ""
instead of b""
).
回答2:
I modified your example like this:
with open(STAT_FILE, "r+b") as f:
m=mmap.mmap(f.fileno(), 0, prot=mmap.PROT_READ)
while True:
line=m.readline()
if line == '': break
print line.rstrip()
Suggestions:
- Do not call a variable
map
, this is a built-in function. - Open the file in
r+b
mode, as in the Python example on themmap
help page. It states: In either case you must provide a file descriptor for a file opened for update. See http://docs.python.org/library/mmap.html#mmap.mmap. - It's better to not use
UPPER_CASE_WITH_UNDERSCORES
global variable names, as mentioned in Global Variable Names at https://www.python.org/dev/peps/pep-0008/#global-variable-names. In other programming languages (like C), constants are often written all uppercase.
Hope this helps.
Edit: I did some timing tests on Linux because the comment made me curious. Here is a comparison of timings made on 5 sequential runs on a 137MB text file.
Normal file access:
real 2.410 2.414 2.428 2.478 2.490
sys 0.052 0.052 0.064 0.080 0.152
user 2.232 2.276 2.292 2.304 2.320
mmap
file access:
real 1.885 1.899 1.925 1.940 1.954
sys 0.088 0.108 0.108 0.116 0.120
user 1.696 1.732 1.736 1.744 1.752
Those timings do not include the print
statement (I excluded it). Following these numbers I'd say memory mapped file access is quite a bit faster.
Edit 2: Using python -m cProfile test.py
I got the following results:
5432833 2.273 0.000 2.273 0.000 {method 'readline' of 'file' objects}
5432833 1.451 0.000 1.451 0.000 {method 'readline' of 'mmap.mmap' objects}
If I'm not mistaken then mmap
is quite a bit faster.
Additionally, it seems not len(line)
performs worse than line == ''
, at least that's how I interpret the profiler output.
回答3:
The following is reasonably concise:
with open(STAT_FILE, "r") as f:
m = mmap.mmap(f.fileno(), 0, prot=mmap.PROT_READ)
while True:
line = m.readline()
if line == "": break
print line
m.close()
Note that line
retains the newline, so you might like to remove it. It is also the reason why if line == ""
does the right thing (an empty line is returned as "\n"
).
The reason the original iteration works the way it does is that mmap
tries to look like both a file and a string. It looks like a string for the purposes of iteration.
I have no idea why it can't (or chooses not to) provide readlines()/xreadlines()
.
回答4:
Python 2.7 32bit on Windows is more than twice as fast on an mmapped file:
On a 27MB, 509k line text file (my 'parse' function is not interesting it mostly just readline()'s very rapidly):
with open(someFile,"r") as f:
if usemmap:
m=mmap.mmap(f.fileno(), 0, access=mmap.ACCESS_READ)
else:
m=f
e.parse(m)
With MMAP:
read in 0.308000087738
Without MMAP:
read in 0.680999994278
来源:https://stackoverflow.com/questions/8151684/how-to-read-lines-from-a-mmapped-file