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Can Not Install sf
package on FastR
#116
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Hello Ismail, what does The If you do not need to build FastR from sources, you can just download the GraalVM binary, install FastR using
Finally, you can use the official GraalVM Docker image and install FastR dependencies and FastR using
|
Feel free to re-open if the suggested steps did not help. |
hi @steve-s I manage to install FastR, but it was installing it from an interactive container. I want to create a docker image for it. Unfortunately, when I run After a little bit checking, I found out that it tries to download from My internet connection is not bad, but the download speed of it is only around 100-200KB/s. I wonder if it is from GitHub or not. Or perhaps my internet connection. I am still trying again currently... Thanks! |
ok, it seems my network for some reason. I got it downloaded from my friend with another network. |
Hi @steve-s
I tried this one, but I got a problem as I mentioned in this issue. @zslajchrt gave another Dockerfile in here I modified a little bit and put it here. Then, I tried to install geospatial packages, but
I also tried to install apt install r-base
/usr/bin/R Then install
So, it works with GNU R but not in FastR.
It doesn't show anything
I tried this one, but it seems Oracle Linux Server has outdated (?) packages, for example, I need to build GDAl since from EPEL I got version 1.9 (iirc). Then I need to install Pandoc (for my script), which seems not easy to install according to this gist, assuming Oracle Linux and CentOS has similar/same packages. It's my first time using Oracle Linux, so perhaps I am wrong. For this one:
I haven't checked it yet. |
I tried to install
sf
package on FastR on a docker container based on this Dockerfile https://github.com/ismailsunni/dockeRs/blob/master/fastr-3.4.0-debian-geospatial/DockerfileAs shown in the Dockerfile, I have installed the system dependencies of
sf
. Then I tried to install it but I got a problem in this part:Checking the
proj_api.h
, it is thereAny idea how to fix this problem?
Thanks!
PS: I am working on a project to do benchmark a geospatial workflow across R implementation.
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