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Running qlever as a windows user #45
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Hi Robin, Thanks for reporting this, we should definitely add a note about the support for Windows somewhere. Let us know if you need further help Best regards |
The message |
Another failure mode that can occur but is not the problem here: It can also happens that VPNs claim Dockers Subnet(s) for routing. The Subnets are then masked and containers will not be reachable. The container will be running and from inside the container everything works as fine but the container is not reachable from the host. |
Hi there,
Was very impressed with qlever demo at Zazuko KG forum, so wanted to give it a try locally. I run windows 10 and am running into the following problems in using your examples.
Trying to stick closely to your readme, I created an olympics folder and pip installed as instructed. After, I run the first command:
qlever setup-config olympics
As I am running from powershell (the default shell for vscode on windows) I receive this error. Running the same command in bash works: A qlever config file is created in the directory.
Moving to the second command (all other commands ran in bash from now on):
I could solve this by running the curl command straight in my bash terminal:
curl -sLo olympics.zip -C - https://github.com/wallscope/olympics-rdf/raw/master/data/olympics-nt-nodup.zip && unzip -q -o olympics.zip && rm olympics.zip
Command: qlever index
same problem, but I can run the bash command behind it. However, that returns an error:
That is currently where I get stuck. I'm not sure how to allow access here. In any case, if the goal is to make it easy to run qlever for windows users that are maybe not full on developers/docker engineers, I would really need a bit more/better documentation. Some way of running it without requirement for root privileges/giving Docker permission to run with root privileges without asking would also be great regardless of OS.
Please let me know if I can give you more detail somewhere. I'm looking forward to using a fully SPARQL 1.1 compliant blazingly fast open source SPARQL engine!
Kind regards,
Robin
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