Nick Craig-Wood <ni**@craig-wood.comwrites:
Kevin Ar18 <ke*******@hotm ail.comwrote:
>>
I posted this on the forum, but nobody seems to know the solution: http://python-forum.org/py/viewtopic.php?t=5230
I have a zip file that is several GB in size, and one of the files inside of it is several GB in size. When it comes time to read the 5+GB file from inside the zip file, it fails with the following error:
File "...\zipfile.py ", line 491, in read bytes = self.fp.read(zi nfo.compress_si ze)
OverflowError: long it too large to convert to int
That will be an number which is bigger than 2**31 == 2 GB which can't
be converted to an int.
It would be explained if zinfo.compress_ size is 2GB, eg
>>f=open("z")
>>f.read(2**3 1)
Traceback (most recent call last):
File "<stdin>", line 1, in ?
OverflowError: long int too large to convert to int
However it would seem nuts that zipfile is trying to read 2GB into
memory at once!
Perhaps, but that's what the read(name) method does - returns a string
containing the contents of the selected file. So I think this runs
into a basic issue of the maximum length of Python strings (at least
in 32bit builds, not sure about 64bit) as much as it does an issue
with the zipfile module. Of course, the fact that the only "read"
method zipfile has is to return the entire file as a string might
be considered a design flaw.
For the OP, if you know you are going to be dealing with very large
files, you might want to implement your own individual file
extraction, since I'm guessing you don't actually need all 5+GB of the
problematic file loaded into memory in a single I/O operation,
particularly if you're just going to write it out again, which is what
your original forum code was doing.
I'd probably suggest just using the getinfo(name) method to return the
ZipInfo object for the file in question, then process the appropriate
section of the zip file directly. E.g., just seek to the proper
offset, then read the data incrementally up to the full size from the
ZipInfo compress_size attribute. If the files are compressed, you can
incrementally hand their data to the decompressor prior to other
processing.
E.g., instead of your original:
fileData = dataObj.read(i)
fileHndl = file(fileName," wb")
fileHndl.write( fileData)
fileHndl.close( )
something like (untested):
CHUNK = 65536 # I/O chunk size
fileHndl = file(fileName," wb")
zinfo = dataObj.getinfo (i)
compressed = (zinfo.compress _type == ZLIB_DEFLATED)
if compressed:
dc = zlib.decompress obj(-15)
dataObj.fp.seek (zinfo.header_o ffset+30)
remain = zinfo.compress_ size
while remain:
bytes = dataObj.fp.read (min(remain, CHUNK))
remain -= len(bytes)
if compressed:
bytes = dc.decompress(b ytes)
fileHndl.write( bytes)
if compressed:
bytes = dc.decompress(' Z') + dc.flush()
if bytes:
fileHndl.write( bytes)
fileHndl.close( )
Note the above assumes you are only reading from the zip file as it
doesn't maintain the current read() method invariant of leaving the
file pointer position unchanged, but you could add that too. You
could also verify the file CRC along the way if you wanted to.
Might be even better if you turned the above into a generator, perhaps
as a new method on a local ZipFile subclass. Use the above as a
read_gen method with the write() calls replaced with "yield bytes",
and your outer code could look like:
fileHndl = file(fileName," wb")
for bytes in dataObj.read_ge n(i):
fileHndle.write (bytes)
fileHndl.close( )
-- David
