Hi RoughTiger69 ,

If you create a child version and add the delta of the files to the child, fetching the child version will also fetch the parents files as well

AgitatedDove14 ideas?

RoughTiger69
move the files locally (i.e. based on the example move folder b into folder a ) Create a new version with two parents ('a' and 'b') then sync the local root folder ('a' in your case). Only the meta-data should change (because the referenced files are already in one of the datasets)wdyt?

As a result, I need to do somethig which copies the files (e.g. cp -r or StorageManager.upload_folder(‘b’, ‘a’)
but this is expensive

You are saying the copy is just wasteful (but you do have the files locally)?

Oh maybe:
cp -R b a/

Oh then this should just work
cp -R --link b a/You can achieve the same symbol link link from python as well

Yes, but this is not the use-case.
The use-case is that I have a local folder and I want to merge a dataset into it without re-fetching the local folder…

AgitatedDove14 mv command requires empty folders… so moving b in to a won’t work if some subfolders are already there

so moving b in to a won’t work if some subfolders are already there

I though that if they are already there you would merge / overwrite, isn't that what you need ?
a/b/c/2.txt seems like the result of moving b from dataset B into folder b in Dataset A, what am I missing?
(My assumption is that you have both datasets locally on the same machine and that you can just copy the files from b of Datasset B into b folder of Dataset A)

if the state is :
a:
a a/.DS_Store a/1.txt a/b a/b/.DS_Store a/b/1.txt a/b/c a/b/c/1.txtDataset B:
b b/2.txt b/c b/c/2.txtThen the command
mv b a/returns error since a/ is not empty.
That’s exactly the issue…

As a result, I need to do somethig which copies the files (e.g. cp -r or StorageManager.upload_folder(‘b’, ‘a’)
but this is expensive

What I’d like is to do Dataset.get(“b”, to=‘a’) and have the download land the files directly there