Import a Kubernetes Context

After you have deployed HPE Machine Learning Data Management, the Pachyderm context is not created. Therefore, you need to manually create a new HPE Machine Learning Data Management context with the embedded current Kubernetes context and activate that context.

To import a Kubernetes context, complete the following steps:

1. Verify that the cluster was successfully deployed:

   kubectl get pods

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   You should see a pod for pachd running (alongside etcd, pg-bouncer or postgres, console, depending on your installation).

   System Response:

   NAME                                    READY   STATUS    RESTARTS   AGE
   console-6c989c8d56-ftxk7                1/1     Running   0          3d18h
   etcd-0                                  1/1     Running   0          3d18h
   pachd-f9fd5b6fc-8d774                   1/1     Running   0          3d18h
   pg-bouncer-794d8f68f-sjbbh              1/1     Running   0          3d18h

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2. Create a new HPE Machine Learning Data Management context with the embedded Kubernetes context:

   pachctl config import-kube <new-pachyderm-context-name> -k `kubectl config current-context`

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3. Verify that the context was successfully created and view the context parameters:

   Example:

   pachctl config get context <new-pachyderm-context-name>

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   System Response:

   {
     "source": "IMPORTED",
     "cluster_name": "minikube",
     "auth_info": "minikube",
     "namespace": "default"
   }

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4. Activate the new HPE Machine Learning Data Management context:

   pachctl config set active-context <new-pachyderm-context-name>

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5. Verify that the new context has been activated:

   pachctl config get active-context

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