C3W3 Error CustomResourceDefinition

Course Q&A Machine Learning Engineering for Production(MLOps) Machine Learning Modeling Pipelines in Production
1

Hello Learners,

I am getting the error while executing the command kubectl apply --kustomize tf-training/tf-job-crds/base

error: unable to recognize “tf-training/tf-job-crds/base”: no matches for kind “CustomResourceDefinition” in version “apiextensions.k8s.io/v1beta1”

Any idea on how to resolve this issue?.

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2

Hi there, also running into this problem. Couldn’t really find a solution other than a possible mismatch between the version of kubectl and some of the definitions in the crd.yaml file. This error is blocker in-regards to completing the lab.

I’ve pasted the version of kubectl that I was using, hope that helps.

student_02_6792be1d58db@cloudshell:~ (qwiklabs-gcp-01-573fe1391c7f)$ kubectl version
Client Version: version.Info{Major:“1”, Minor:“23”, GitVersion:“v1.23.2”, GitCommit:“9d142434e3af351a628bffee3939e64c681afa4d”, GitTreeState:“clean”, BuildDate:“2022-01-19T17:35:46Z”, GoVersion:“go1.17.5”, Compiler:“gc”, Platform:“linux/amd64”}
Server Version: version.Info{Major:“1”, Minor:“22”, GitVersion:“v1.22.6-gke.300”, GitCommit:“df413ee6225aa3fc539e18ca3464a48d723bd3ea”, GitTreeState:“clean”, BuildDate:“2022-01-24T09:29:08Z”, GoVersion:“go1.16.12b7”, Compiler:“gc”, Platform:“linux/amd64”}

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Seems like it is related to Kubernetes API and Feature Removals In 1.22: Here’s What You Need To Know | Kubernetes

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Yes. It is a problem with new versions of Kubernetes.
I tried using the older version (not always the best solution in real life, but I guess it’s OK for finishing this Lab). Just use this command to create the cluster:
gcloud beta container clusters create $CLUSTER_NAME --project=$PROJECT_ID --cluster-version=1.21 --machine-type=n1-standard-4 --scopes compute-rw,gke-default,storage-rw --num-nodes=3

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5

Confirming that setting the cluster version to 1.21 did resolve the problem. Thanks, Nikolina.

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6

Thanks Nikolina… The issue got resolved…

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Used Nikolina’s solution, still getting the same warning as below.

Warning: apiextensions.k8s.io/v1beta1 CustomResourceDefinition is deprecated in v1.16+, unavailable in v1.22+; use apiextensions.k8s.io/v1 CustomResourceDefinition
customresourcedefinition.apiextensions.k8s.io/tfjobs.kubeflow.org created

It failed to install. Later, this led to failing of pods creation at TFJob submit step.

I guess, an updated manifest files for TFJob should be helpful.