在 Kubernetes Django 部署的应用程序上使用作业和持久卷声明进行迁移和迁移模型的最佳方法是吗?
持久卷
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: csi-pvc
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 5Gi
storageClassName: do-block-storage
工作
apiVersion: batch/v1
kind: Job
metadata:
name: django-migrations-job
spec:
template:
spec:
containers:
- name: app
image: user/app:latest
command: ["/bin/sh", "-c"]
args: ["python manage.py makemigrations app; python manage.py migrate"]
volumeMounts:
- mountPath: "/container-code-dir/app/migrations"
name: my-do-volume
volumes:
- name: my-do-volume
persistentVolumeClaim:
claimName: csi-pvc
最佳答案
对我来说看起来不错。不确定您是否需要在新 Pod 启动时运行此作业一次或每次?
如果它在每次 Django service pod 启动之前运行,也许你可以通过 Init Containers 获得帮助。
示例:
apiVersion: v1
kind: Pod
metadata:
name: myapp-pod
labels:
app: myapp
spec:
containers:
- name: myapp-container
image: busybox:1.28
command: ['sh', '-c', 'echo The app is running! && sleep 3600']
initContainers:
- name: init-myservice
image: busybox:1.28
command: ['sh', '-c', 'until nslookup myservice; do echo waiting for myservice; sleep 2; done;']
- name: init-mydb
image: busybox:1.28
command: ['sh', '-c', 'until nslookup mydb; do echo waiting for mydb; sleep 2; done;']
您可以对部署执行相同的操作
关于通过 Kubernetes 作业和持久卷声明进行 Django 迁移,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/59583098/