Reclaim PVs

NebulaGraph Operator uses PVs (Persistent Volumes) and PVCs (Persistent Volume Claims) to store persistent data. If you accidentally deletes a NebulaGraph cluster, by default, PV and PVC objects and the relevant data will be retained to ensure data security.

You can also define the automatic deletion of PVCs to release data by setting the parameter spec.enablePVReclaim to true in the configuration file of the cluster instance. As for whether PV will be deleted automatically after PVC is deleted, you need to customize the PV reclaim policy. See reclaimPolicy in StorageClass and PV Reclaiming for details.

Prerequisites

You have created a cluster. For how to create a cluster with Kubectl, see Create a cluster with Kubectl.

Steps

The following example uses a cluster named nebula and the cluster's configuration file named nebula_cluster.yaml to show how to set enablePVReclaim:

1. Run the following command to access the edit page of the nebula cluster.

   kubectl edit nebulaclusters.apps.nebula-graph.io nebula
   

2. Add enablePVReclaim and set its value to true under spec.

   apiVersion: apps.nebula-graph.io/v1alpha1
   kind: NebulaCluster
   metadata:
     name: nebula
   spec:
     enablePVReclaim: true  //Set its value to true.
     graphd:
       image: vesoft/nebula-graphd
       logVolumeClaim:
         resources:
           requests:
             storage: 2Gi
         storageClassName: fast-disks
       replicas: 1
       resources:
         limits:
           cpu: "1"
           memory: 1Gi
         requests:
           cpu: 500m
           memory: 500Mi
       version: v3.5.0
     imagePullPolicy: IfNotPresent
     metad:
       dataVolumeClaim:
         resources:
           requests:
             storage: 2Gi
         storageClassName: fast-disks
       image: vesoft/nebula-metad
       logVolumeClaim:
         resources:
           requests:
             storage: 2Gi
         storageClassName: fast-disks
       replicas: 1
       resources:
         limits:
           cpu: "1"
           memory: 1Gi
         requests:
           cpu: 500m
           memory: 500Mi
       version: v3.5.0
     nodeSelector:
       nebula: cloud
     reference:
       name: statefulsets.apps
       version: v1
     schedulerName: default-scheduler
     storaged:
       dataVolumeClaims:
       - resources:
           requests:
             storage: 2Gi
         storageClassName: fast-disks
       - resources:
           requests:
             storage: 2Gi
         storageClassName: fast-disks
       image: vesoft/nebula-storaged
       logVolumeClaim:
         resources:
           requests:
             storage: 2Gi
         storageClassName: fast-disks
       replicas: 3
       resources:
         limits:
           cpu: "1"
           memory: 1Gi
         requests:
           cpu: 500m
           memory: 500Mi
       version: v3.5.0
   ...    
   

3. Run kubectl apply -f nebula_cluster.yaml to push your configuration changes to the cluster.

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Last update: March 13, 2023