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☰ ⛁ Datalayer Datashim

Datashim needs to be deployed in the cloud to benefit from the Runtime Content features.

helm repo add datashim https://datashim-io.github.io/datashim
helm repo update

Install Datashim.

plane up datalayer-datashim

Check the Datashim Pods.

kubectl get pods -n datalayer-runtimes | grep -E 'dataset-operator|csi-s3|csi-nfs|datashim'
# csi-s3-xxxxx                        2/2     Running   0          30s
# csi-s3-yyyyy                        2/2     Running   0          30s
# dataset-operator-zzzzz              1/1     Running   0          20s

# release information
helm list -A | grep datalayer-datashim
# datalayer-datashim   datalayer-runtimes   ...   deployed

# webhook resources
kubectl get validatingwebhookconfigurations,mutatingwebhookconfigurations | grep -i datashim
note

plane up datalayer-datashim deploys the release in the datalayer-runtimes namespace.

If you run kubectl get pods -n datalayer-datashim, you may see no resources and incorrectly conclude Datashim is down.

S3 Secret​

Create the secret for S3 access so it can be reused in Runtime Environments.

kubectl create secret generic \
  s3-secret \
  --from-literal=access_key_id=$AWS_ACCESS_KEY_ID \
  --from-literal=secret_access_key=$AWS_SECRET_ACCESS_KEY \
  --from-literal=region=$AWS_DEFAULT_REGION \
  -n datalayer-runtimes
kubectl describe secret s3-secret -n datalayer-runtimes

Namespace Label​

Datashim uses a mutating webhook with a namespaceSelector that requires the label monitor-pods-datasets=enabled on any namespace where pods should receive automatic dataset volume mounts.

The plane up datalayer-datashim command automatically labels the datalayer-runtimes namespace. For other namespaces (e.g. default for testing), add the label manually:

kubectl label namespace default monitor-pods-datasets=enabled
caution

Without this label, the datashim webhook will not inject volume mounts into pods, even if the pods have the correct dataset.0.id labels and the Dataset/PVC exist.

Validation​

Validate the configuration with the creation of an example Dataset.

Step 1: Create a Dataset​

cat <<EOF | kubectl apply -f -
apiVersion: datashim.io/v1alpha1
kind: Dataset
metadata:
  name: example-dataset
spec:
  local:
    type: COS
    accessKeyID: $AWS_ACCESS_KEY_ID
    secretAccessKey: $AWS_SECRET_ACCESS_KEY
    endpoint: https://s3.$AWS_DEFAULT_REGION.amazonaws.com
    bucket: datalayer-dev
    region: $AWS_DEFAULT_REGION
EOF

Verify the Dataset and PVC are created:

kubectl describe dataset example-dataset
kubectl get pvc example-dataset
# NAME              STATUS   VOLUME                                     CAPACITY        ACCESS MODES   STORAGECLASS
# example-dataset   Bound    pvc-c26adf05-...                           9765625000Ki    RWX            csi-s3

Step 2: Label the namespace​

kubectl label namespace default monitor-pods-datasets=enabled

Step 3: Mount the Dataset in a Pod​

cat <<EOF | kubectl apply -f -
apiVersion: v1
kind: Pod
metadata:
  name: nginx
  labels:
    dataset.0.id: example-dataset
    dataset.0.useas: mount
spec:
  containers:
    - name: nginx
      image: nginx
EOF

Verify the mount is injected and accessible:

kubectl get pod nginx
kubectl exec nginx -it -- ls /mnt/datasets/example-dataset

Step 4: Clean up​

kubectl delete pod nginx
kubectl delete dataset example-dataset

Tear Down​

If needed, tear down.

plane down datalayer-datashim