cephfs and cvmfs configuration example

examples/basics/spark-pi-cvmfs-cephfs.yaml

+# sparkoperator chart needs to be installed with CVMFS/CephFS enabled:
+# helm install https://gitlab.cern.ch/db/spark-service/spark-service-charts/raw/master/cern-sparkoperator-0.1.0.tgz
+
+apiVersion: "sparkoperator.k8s.io/v1alpha1"
+kind: SparkApplication
+metadata:
+  name: spark-pi
+  namespace: default
+spec:
+  type: Scala
+  mode: cluster
+  image: gitlab-registry.cern.ch/db/spark-service/docker-registry/spark:v2.4.0-hadoop3.1-examples
+  imagePullPolicy: Always
+  mainClass: ch.cern.sparkrootapplications.examples.SparkPi
+  mainApplicationFile: local:///opt/spark/examples/jars/spark-service-examples_2.11-0.3.0.jar
+  mode: cluster
+  volumes:
+    - name: cephfs
+      persistentVolumeClaim:
+        claimName: manila-cephfs-pvc
+    - name: cvmfs-cms
+      persistentVolumeClaim:
+        claimName: cvmfs-cms-cern-ch
+    - name: cvmfs-sft
+      persistentVolumeClaim:
+        claimName: cvmfs-sft-cern-ch
+    - name: spark-work
+      emptyDir: {}
+  driver:
+    cores: 1
+    coreLimit: "1000m"
+    memory: "1024m"
+    labels:
+      version: 2.4.0
+    serviceAccount: spark
+    volumeMounts:
+      - name: spark-work
+        mountPath: /mnt/spark/work
+  executor:
+    instances: 1
+    cores: 1
+    memory: "1024m"
+    labels:
+      version: 2.4.0
+    volumeMounts:
+      - name: cvmfs-cms
+        mountPath: /cvmfs/cms.cern.ch
+      - name: cvmfs-sft
+        mountPath: /cvmfs/sft.cern.ch
+      - name: cephfs
+        mountPath: /cephfs
+      - name: spark-work
+        mountPath: /mnt/spark/work
+  restartPolicy: Never