我有一个在正确的命名空间中运行的持久卷:
apiVersion: v1
kind: PersistentVolume
metadata:
name: raw-data
spec:
accessModes:
- ReadWriteOnce
capacity:
storage: 2Gi
hostPath:
path: /data
storageClassName: storage
并希望运行包含批量声明模板的工作流:
...
volumeClaimTemplates:
- metadata:
name: raw-data
spec:
accessModes: ["ReadWriteOnce"]
resources:
requests:
storage: 2Gi
我相信我的配置与此处描述的一致 https://stackoverflow.com/a/52669115/213269但是,由于我正在研究 argo 而不是 kubernetes,因此存在一些差异。我收到以下错误:
Unschedulable: 0/1 nodes are available: 1 pod has unbound immediate PersistentVolumeClaims.
问题:如何正确配置卷?
更新:
我尝试将持久卷部署到 argo 命名空间并从工作流中指向它,现在出现以下错误:
persistentvolumeclaims "workflow-name" is forbidden: User "system:serviceaccount:argo:argo" cannot get resource "persistentvolumeclaims" in API group "" in the namespace "argo"
我还在 Kubernetes 配置中添加了一个新用户和上下文,但无济于事。
更新:
我添加了以下角色,现在错误已从“...用户无法获取资源...”更改为“用户无法创建资源...”请注意,我的用户确实有权创建持久性卷声明。
apiVersion: rbac.authorization.k8s.io/v1 kind: Role metadata: name: workflow namespace: argo rules: - apiGroups: - "" resources: - pods verbs: - get - list - watch - create - update - patch - delete - apiGroups: - "" resources: - pods/log verbs: - get - list - watch - create - update - patch - delete - apiGroups: - "" resources: - persistentvolumeclaims verbs: - get - list - watch - create - update - patch - delete