The InferenceService "sklearn-iris" is invalid: metadata.managedFields.fieldsType: Invalid value: "": must be `FieldsV1`

[kmr0877]

/kind bug

What steps did you take and what happened: I am trying to test KFServing Installation, setting up for the first time from Test KFServing Installation . Not really sure if its a bug?

Commands shown below

kubectl create namespace kfserving-test
kubectl apply -f docs/samples/sklearn/sklearn.yaml -n kfserving-test

Error message:

The InferenceService "sklearn-iris" is invalid: metadata.managedFields.fieldsType: Invalid value: "": must be `FieldsV1`

What did you expect to happen:

$ inferenceservice.serving.kubeflow.org/sklearn-iris created

Anything else you would like to add:

• I have got istio installed with manifest from Installing Istio without sidecar injection and Knative components using Operators
• Not sure if its an issue with any of the versions i am using?

  $ kubectl get pods --namespace knative-serving
  NAME                                READY   STATUS     RESTARTS   AGE
  activator-6d9f95b7f8-k5gtd          2/2     Running    0          24m
  autoscaler-597fd8d69d-b6htb         2/2     Running    0          24m
  autoscaler-hpa-5878b57d96-fvrm7     2/2     Running    1          24m
  controller-7479cc984d-m7dxh         2/2     Running    1          24m
  istio-webhook-64b48869b8-nmckd      2/2     Running    1          24m
  networking-istio-7bb58f6d55-2hlgw   1/1     Running    0          24m
  storage-version-migration-bcq59     1/2     NotReady   2          24m
  webhook-bf465f954-2nbq9             2/2     Running    1          24m

Environment:

• Istio Version:

  $ istioctl version
  client version: 1.6.4
  control plane version: 1.6.4
  data plane version: 1.6.4 (10 proxies)

• Knative Version:

  v0.15.0

• KFServing Version:

  $ kubectl get KnativeServing knative-serving -n knative-serving
  NAME              VERSION   READY   REASON
  knative-serving   0.15.0    True

• Kubeflow version: NA

• Kfdef:[k8s_istio/istio_dex/gcp_basic_auth/gcp_iap/aws/aws_cognito/ibm] NA

• Minikube version:

  $ minikube  version
  minikube version: v1.11.0
  commit: 57e2f55f47effe9ce396cea42a1e0eb4f611ebbd

• Kubernetes version: (use kubectl version):

  
  $ kubectl version
  Client Version: version.Info{Major:"1", Minor:"18", GitVersion:"v1.18.5", GitCommit:"e6503f8d8f769ace2f338794c914a96fc335df0f", GitTreeState:"clean", BuildDate:"2020-06-26T03:47:41Z", GoVersion:"go1.13.9", Compiler:"gc", Platform:"windows/amd64"}
  Server Version: version.Info{Major:"1", Minor:"18", GitVersion:"v1.18.3", GitCommit:"2e7996e3e2712684bc73f0dec0200d64eec7fe40", GitTreeState:"clean", BuildDate:"2020-05-20T12:43:34Z", GoVersion:"go1.13.9", Compiler:"gc", Platform:"linux/amd64"}
  ``

• OS (e.g. from /etc/os-release):

  
  Edition          Windows 10 Enterprise
  Version             1903
  Installed on       24/01/2020
  OS build            18362.778

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[yuzisun]

@kmr0877 you are on kubernetes 1.18 and looks like this is the same issue as https://github.com/GoogleCloudPlatform/flink-on-k8s-operator/issues/210, if you downgrade to 1.17 that should work. We will need to upgrade k8s client dependency for KFServing controller.

[kmr0877]

@yuzisun Seems like on downgrade to 1.17 works fine for me. Thanks for your response. Worth upgrading k8s client, probably better to keep the issue open until its upgraded else we might end up seeing duplication as you mentioned above. Feel free to close the issue if you have a different opinion.

[yuzisun]

released in 0.4.1