-
Notifications
You must be signed in to change notification settings - Fork 1.6k
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
[backend] metadata-writer cannot save metadata of S3 artifacts with argo v3.1+ #8283
Comments
@tktest1234 Are you running on AWS and want to use KFP with S3 as storage backend? |
Yes, I install kubeflow1.4 on AWS(EKS) and want to use KFP with S3 as storage backend. |
Hey @tktest1234 please follow the instructions on AWS distribution of Kubeflow to install KFP with S3 as artifact storage https://awslabs.github.io/kubeflow-manifests/docs/deployment/rds-s3/ Please create an issue on the awslabs repository if you face any issues |
Thank you, but awslabs's installation doesn't solve the problem. #5829 is exactly the PR for this issue. I hope it to progress. |
This issue has been automatically marked as stale because it has not had recent activity. It will be closed if no further activity occurs. Thank you for your contributions. |
Closing this issue. No activity for more than a year. /close |
@rimolive: Closing this issue. In response to this:
Instructions for interacting with me using PR comments are available here. If you have questions or suggestions related to my behavior, please file an issue against the kubernetes/test-infra repository. |
Environment
kubeflow 1.4 manifest (git::https://github.com/kubeflow/manifests.git?ref=v1.4.0 )
and manually change config for S3
1.7.0 (kubeflow 1.4)
1.7.1
Steps to reproduce
metadata-writer output log
result:
Expected result
metadata for the artifacts is logged into metadb
Materials and Reference
I think it is caused by changes for argo Key-Only Artifacts.
In https://github.com/kubeflow/pipelines/blob/1.7.0/backend/metadata_writer/src/metadata_writer.py#L318, metadata-writer read "workflows.argoproj.io/outputs", but endpoint and bucket are not passed by argo3.1+. So https://github.com/kubeflow/pipelines/blob/1.7.0/backend/metadata_writer/src/metadata_writer.py#L105 cannot set the correct URL.
Related frontend issue: #5930
Impacted by this bug? Give it a 👍.
The text was updated successfully, but these errors were encountered: