Ytukyg

I try to start RStudio in docker container via kubernetes. All objects are created, but when I try to open rstudio using such commands in Ubuntu 18:

kubectl create -f rstudio-ing.yml    

IP=$(minikube ip)

xdg-open http://$IP/rstudio/

there is error: #RStudio initialization error: unable connect to service.

Usual docker command works fine:

docker run -d -p 8787:8787 -e PASSWORD=123 -v /home/aabor/r-projects:/home/rstudio aabor/rstudio

The same intended operation in kubernetes fails.

rstudio-ing.yml file creates all objects well. RStudio is accessible if I do not mount any folder. But if I add folder mounts it produces an error. Any suggestions?

The content of the rstudio-ing.yml:

apiVersion: extensions/v1beta1

kind: Ingress

metadata:

  name: r-ingress

  annotations:

    kubernetes.io/ingress.class: "nginx"

    ingress.kubernetes.io/ssl-redirect: "false"

    nginx.ingress.kubernetes.io/ssl-redirect: "false"

    nginx.ingress.kubernetes.io/rewrite-target: /

spec:

  rules:

  - http:

      paths:

      - path: /rstudio/

        backend:

          serviceName: rstudio

          servicePort: 8787



---

apiVersion: apps/v1

kind: Deployment

metadata:

  name: rstudio

spec:

  replicas: 1

  selector:

    matchLabels:

      service: rstudio

  template:

    metadata:

      labels:

        service: rstudio

        language: R

    spec:

      containers:

      - name: rstudio

        image: aabor/rstudio

        env:

        - name: PASSWORD

          value: "123"

        volumeMounts:

        - name: home-dir

          mountPath: /home/rstudio/

      volumes: 

      - name: home-dir

        hostPath: 

        #RStudio initialization error: unable connect to service

          path: /home/aabor/r-projects 



---



apiVersion: v1

kind: Service

metadata:

  name: rstudio

spec:

  ports:

  - port: 8787

  selector:

    service: rstudio

This is pod description:

    Name:           rstudio-689c4fd6c8-fgt7w

    Namespace:      default

    Node:           minikube/10.0.2.15

    Start Time:     Fri, 23 Nov 2018 21:42:35 +0300

    Labels:         language=R

                    pod-template-hash=2457098274

                    service=rstudio

    Annotations:    <none>

    Status:         Running

    IP:             172.17.0.9

    Controlled By:  ReplicaSet/rstudio-689c4fd6c8

    Containers:

    rstudio:

        Container ID:   docker://a6bdcbfdf8dc5489a4c1fa6f23fb782bc3d58dd75d50823cd370c43bd3bffa3c

        Image:          aabor/rstudio

        Image ID:       docker-pullable://aabor/rstudio@sha256:2326e5daa3c4293da2909f7e8fd15fdcab88b4eb54f891b4a3cb536395e5572f

        Port:           <none>

        Host Port:      <none>

        State:          Running

        Started:      Fri, 23 Nov 2018 21:42:39 +0300

        Ready:          True

        Restart Count:  0

        Environment:

        PASSWORD:  123

        Mounts:

        /home/rstudio/ from home-dir (rw)

        /var/run/secrets/kubernetes.io/serviceaccount from default-token-mrkd8 (ro)

    Conditions:

    Type           Status

    Initialized    True 

    Ready          True 

    PodScheduled   True 

    Volumes:

    home-dir:

        Type:          HostPath (bare host directory volume)

        Path:          /home/aabor/r-projects

        HostPathType:  

    default-token-mrkd8:

        Type:        Secret (a volume populated by a Secret)

        SecretName:  default-token-mrkd8

        Optional:    false

    QoS Class:       BestEffort

    Node-Selectors:  <none>

    Tolerations:     node.kubernetes.io/not-ready:NoExecute for 300s

                    node.kubernetes.io/unreachable:NoExecute for 300s

    Events:

    Type    Reason                 Age   From               Message

    ----    ------                 ----  ----               -------

    Normal  Scheduled              10s   default-scheduler  Successfully assigned rstudio-689c4fd6c8-fgt7w to minikube

    Normal  SuccessfulMountVolume  10s   kubelet, minikube  MountVolume.SetUp succeeded for volume "home-dir"

    Normal  SuccessfulMountVolume  10s   kubelet, minikube  MountVolume.SetUp succeeded for volume "default-token-mrkd8"

    Normal  Pulling                9s    kubelet, minikube  pulling image "aabor/rstudio"

    Normal  Pulled                 7s    kubelet, minikube  Successfully pulled image "aabor/rstudio"

    Normal  Created                7s    kubelet, minikube  Created container

    Normal  Started                6s    kubelet, minikube  Started container

You have created a service of type ClusterIP that can only be possible to access in the cluster not the outside. So to make it available outside of the cluster, change the service type LoadBalancer.

apiVersion: v1

kind: Service

metadata:

  name: rstudio

spec:

  ports:

  - port: 8787

  selector:

    service: rstudio

  type: LoadBalancer

In that case, the loadbalancer type service don't need the ingress and use the url as:

$ minikube service rstudio --url