...@lists.osgeo.org] On Behalf Of
Blumentrath, Stefan
Sent: mandag 6. mars 2017 15.57
To: Vincent Bain <b...@toraval.fr>
Cc: GRASS developers list (grass-dev@lists.osgeo.org)
<grass-dev@lists.osgeo.org>
Subject: Re: [GRASS-dev] r.in.gdal and xargs
I can parallelize on a higher level, so i can set
Thanks Vincent for your swift reply.
In principle the pipe to xargs works, as 99% of the data is imported properly.
And also in the case were I get roors, the command is started properly...
Thus, I suspect that r.in.gdal can have issues when run in parallel; or the
creation of temp files, in
Yes, perhaps something to do with r.in.gdal temp files handling.
And what if you try to reduce P value ?
well, of course it will slow down the bulk import...
Le lundi 06 mars 2017 à 14:02 +, Blumentrath, Stefan a écrit :
> Thanks Vincent for your swift reply.
>
> In principle the pipe to
Hello Stefan,
just a suggestion, inspired from how I usually use xargs:
did you try to put the arguments list in a file (say
my_ringdal_args.txt), then run :
xargs -a my_ringdal_args.txt -P10 -n 3 r.in.gdal
(-n 3 indicating xargs to read 3 arguments for each call to r.in.gdal,
i.e. input=
Dear all,
I am trying to import time series data using a combination of xargs an r.in
gdal:
cat current_datasets_age.txt | awk -v U="myunits" -v N="name" '{ print
"r.in.gdal input=$1 ".bil output=" $2 "_tmp title=\"" N " in " U " at " $3 "\"
--o --q -o\0"}' | xargs -P 10 -I {} -0 bash -c {}
