Jupyter Notebook Customization

Mount Read-Only NFS

In some environments there might be shared NFS drives that contain data you are interested in accessing from inside a notebook environment or from a batch task graph. To support this we provide the ability to mount any volume into notebook environments.

Creating a Volume for NFS

The first step is to create a volume in the cluster that defines the NFS mount. Save the file below to a file called nfs-pv.yaml . Modify to replace the section marked as REQUIRED.

apiVersion: v1
kind: PersistentVolume
metadata:
  name: jupyter-nfs-shared-volume
spec:
  # Ensure policy is set to Retain
  persistentVolumeReclaimPolicy: Retain
  # REQUIRED
  # Set to approximate capacity of NFS mount
  capacity:
    storage: 100Gi
  accessModes:
    # Define the read/write policies
    # use ReadWriteMany for read/write access
    - ReadOnlyMany
  nfs:
    # REQUIRED
    # Set to path inside NFS mount point to be made accessible
    path: /data
    # REQUIRED
    # Set to NFS server
    server: nfs.example.com
  # Apply any standard NFS mount parameters
  mountOptions:
    # Set to vers=3 for NFSv3 
    - vers=4
    # Set to 0 or remove if you want NFSv4.0 or NFSv3
    - minorversion=1
    - noac
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: jupyter-nfs-shared-volume
spec:
  volumeName: nfs-example
  storageClassName: ""
  accessModes:
    # Define the read/write policies
    # use ReadWriteMany for read/write access
    - ReadOnlyMany
  resources:
    requests:
      # REQUIRED
      # Set to approximate size of existing nfs volume
      storage: 100Gi

Apply this with kubectl.

kubectl -n tiledb-cloud apply -f nfs-pv.yaml

Using the NFS Mount in Jupyter

Next copy the following file to nfs-jupyter.yaml

Modify the sections marked as REQUIRED

jupyterhub:
  singleuser:
    storage:
      extraVolumes:
        - name: nfs-example
          persistentVolumeClaim:
            claimName: jupyter-nfs-shared-volume
      extraVolumeMounts:
        - name: nfs-example
          # REQUIRED
          # Set the path inside the notebook environments where the nfs folder should be mounted
          mountPath: /opt/nfs-example

Apply this file to the helm chart by performing an upgrade and adding the additional values file.

helm upgrade --install \
--namespace tiledb-cloud \
--values values.yaml \
--values nfs-jupyter.yaml \
--timeout 45m \
tiledb-cloud \
tiledb/tiledb-cloud-enterprise