Closed willcray closed 1 month ago
Are you using a version_aware
remote?
Are you using a
version_aware
remote?
Yes:
[core]
remote = gcp-remote
autostage = true
['remote "gcp-remote"']
url = gs://datasets/project
version_aware = true
See the comment in https://github.com/iterative/dvc/issues/10306#issuecomment-2079631194:
Took a look and seems this is caused by this commit:
iterative/dvc-data@f398036#diff-89f845ba2a0911623cfc247bbdb34218d79bbbacec33b3af2621d64a24d28557
Unfortunately, I don't see a quick fix, and we are moving towards dropping support for version-aware remotes due to lots of small issues and inconsistencies like this one, so I am going to close this and suggest using traditional remotes to avoid these problems.
Also related: https://github.com/iterative/dvc/issues/9968
Sorry for the inconvenience @willcray but I suggest moving to a traditional remote. We are not continuing to support version_aware remotes, so I'm closing this issue.
@dberenbaum that is unfortunate. We will likely move away from DVC as a result of no longer supporting it.
Bug Report
Issue name
dvc fetch: hangs forever on "Fetching"
Description
Running dvc fetch hangs forever. I've left it running for several hours on a Mac and two Ubuntu 22.04 machines. This didn't use to happen. I'm using a GCP versioned bucket as the remote. I can download the files using gsutil using the same credential file I'm using for the DVC project.
Reproduce
dvc pull -v
Expected
I would expect the data to start being fetched from the remote to the local cache
Environment information
Ubuntu 22.04
Output of
dvc doctor
:Additional Information (if any):