So the background story is this:
I have some large (text) files (~100MB) that I want to version track as well as scripts that analyze them. The total amount of data I'm going to store is approximately 5GB, and I don't expect them to change as frequently as the scripts do.
I'm currently using Github, which is kind of expensive given that LFS only provides 1GB free space, whereas the similar Google Cloud service—Google Count Source Repositories (GCSR)—provides a free tier with higher storage quota.
But when I tried to migrate from Github to GCSR, I got the following error
$ git push --set-upstream google my_branch
batch response: Repository or object not found: https://console.cloud.google.com/m/clouddev/redirect/<PROJECT_NAME>:<REMOTE_REPO_NAME>.git/info/lfs/objects/batch
Check that it exists and that you have proper access to it
Uploading LFS objects: 0% (0/100), 0 B | 0 B/s, done
batch response: Repository or object not found: https://console.cloud.google.com/m/clouddev/redirect/<PROJECT_NAME>:<REMOTE_REPO_NAME>.git/info/lfs/objects/batch
Check that it exists and that you have proper access to it
error: failed to push some refs to 'https://source.developers.google.com/p/<PROJECT_NAME>/r/<REMOTE_REPO_NAME>'
So my question is:
- is it possible to not use LFS using GCSR?
- is there any GCSR-equivalent for LFS stored objects?
- or should I simply treat the text files are regular files (e.g. scripts) and let
git
handle it? - or am I using the wrong tool all together?
Thanks!