Pass through share as disk in Windows VM?

[digiblur]

I've been searching around and can't seem to find someone else that did it.  Would it be possible to pass through a share like /mnt/user/music to a drive letter in the Windows VM where it would appear like a local drive to the VM?  I tried a couple things in the XML editor based on some other examples but didn't get anything to work correctly.  

[itimpi]

You cannot do this in the VM's XML.   Instead you do this just like you would on a physical Windows machine!     You connect to the unRAID share via the network and use the option in Windows to map the network share to a drive letter.  

[digiblur]

You cannot do this in the VM's XML.   Instead you do this just like you would on a physical Windows machine!     You connect to the unRAID share via the network and use the option in Windows to map the network share to a drive letter.  

I can't use that method. I need the disk to look like an actual local disk.

[itimpi]

8 hours ago, digiblur said:

 

I can't use that method. I need the disk to look like an actual local disk.

 

In which case you cannot do what you want to do.   It is not a capability supported by the KVM system.

[Squid]

8 hours ago, digiblur said:

 

I can't use that method. I need the disk to look like an actual local disk.

 

Depending upon the software that you're trying to make work, you might be able to create a symbolic link to the mapped drive on your existing C: drive

 

Google mklink

[digiblur]

50 minutes ago, Squid said:

Depending upon the software that you're trying to make work, you might be able to create a symbolic link to the mapped drive on your existing C: drive

 

Google mklink

 

Thanks for the response.  Unfortunately the mklink doesn't work either.  I have about 10 months left on my Backblaze subscription and wanted to use it in a windows VM.  It's currently running on a Windows box that I'm moving my data off to Unraid.  I guess my only option is to go Crashplan though but I worry about the memory usage issues I hear about all the time with medium to large datasets (8-12 TB).