[GRASS-windows] Large file support?

[Jonathan Greenberg]

Marco (and GRASS'ers):

	Has anyone *successfully* imported a file > 4gb via r.in.gdal into 
GRASS for Windows (including looking at the file and do a v.what in the 
lower portions of that image)?  Enabling the lfs flag I don't think is 
the issue -- I think *grass* can deal with big files, but the GDAL 
compile it is relying on probably isn't configured correctly.  I have 
confirmed this on two different computers, importing two different files 
(both are > 7gb) -- the import absolutely finished -- it failed on both 
computers in the same place.  I gave it PLENTY of time (> 12 hours, it 
imported in about 2 hours on a comparable unix box) and the r.in.gdal 
"run" button returned to black (usually a good back-up indication that a 
process is finished, if the progress bar isn't working).

--j

Marco Pasetti wrote:
> Hi Johnathan,
> 
>> I seem to be running up against a file size limitation in the latest 
>> version of grass for windows
> 
> I made nothing different about that in the latest binary release fo 
> Windows; I suppose it's a generic problem, not strictly related to the 
> latest release
> 
>> I'm trying to import a 7gb file and it seems to have imported only 
>> about the first 2gb or so of the file, and the rest is just 
>> empty/errored (when I do a v.what it gets a "can't read" in the lower 
>> 2/3 or so of the image, but returns correct values in the upper 1/3 or 
>> so of the image).  I used r.in.gdal to import the file (it was an ENVI 
>> image file).  Ideas?
> 
> Actually no, afraid.
> If you read here 
> http://grass.osgeo.org/grass63/binary/mswindows/native/README.html#Release%20Notes 
> you can actually see that LFS is enabled.
> Are you sure that the command worked fine or finished to process data? 
> sometimes the progress bar fails
> Please, try again launching the command within the text command line 
> (msys or dos, as you prefer)
> 
> Please report me the results.
> 
> Regards,
> 
> Marco
> 

-- 

Jonathan A. Greenberg, PhD
Postdoctoral Scholar
Center for Spatial Technologies and Remote Sensing (CSTARS)
University of California, Davis
One Shields Avenue
The Barn, Room 250N
Davis, CA 95616
Cell: 415-794-5043
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