Kubernetes job and deployment

Question

can I run a job and a deploy in a single config file/action Where the deploy will wait for the job to finish and check if it's successful so it can continue with the deployment?

Answer 1

Although initContainers are a viable option for this solution, there is another if you use helm to manage and deploy to your cluster.

Helm has chart hooks that allow you to run a Job before other installations in the helm chart occur. You mentioned that this is for a database migration before a service deployment. Some example helm config to get this done could be...

apiVersion: batch/v1
kind: Job
metadata:
  name: api-migration-job
  namespace: default
  labels:
    app: api-migration-job
  annotations:
    "helm.sh/hook": pre-install,pre-upgrade
    "helm.sh/hook-weight": "-1"
    "helm.sh/hook-delete-policy": before-hook-creation
spec:
  template:
    spec:
      containers:
        - name: platform-migration
        ...

This will run the job to completion before moving on to the installation / upgrade phases in the helm chart. You can see there is a 'hook-weight' variable that allows you to order these hooks if you desire.

This in my opinion is a more elegant solution than init containers, and allows for better control.

Answer 2

Based on the information you provided I believe you can achieve your goal using a Kubernetes feature called InitContainer:

Init containers are exactly like regular containers, except:

• Init containers always run to completion.
• Each init container must complete successfully before the next one starts.

If a Pod’s init container fails, Kubernetes repeatedly restarts the Pod until the init container succeeds. However, if the Pod has a restartPolicy of Never, Kubernetes does not restart the Pod.

• I'll create a initContainer with a busybox to run a command linux to wait for the service mydb to be running before proceeding with the deployment.

Steps to Reproduce: - Create a Deployment with an initContainer which will run the job that needs to be completed before doing the deployment:

apiVersion: apps/v1
kind: Deployment
metadata:
  labels:
    run: my-app
  name: my-app
spec:
  replicas: 2
  selector:
    matchLabels:
      run: my-app
  template:
    metadata:
      labels:
        run: my-app
    spec:
      restartPolicy: Always
      containers:
      - name: myapp-container
        image: busybox:1.28
        command: ['sh', '-c', 'echo The app is running! && sleep 3600']
      initContainers:
      - name: init-mydb
        image: busybox:1.28
        command: ['sh', '-c', "until nslookup mydb.$(cat /var/run/secrets/kubernetes.io/serviceaccount/namespace).svc.cluster.local; do echo waiting for mydb; sleep 2; done"]

Many kinds of commands can be used in this field, you just have to select a docker image that contains the binary you need (including your sequelize job)

• Now let's apply it see the status of the deployment:

$ kubectl apply -f my-app.yaml 
deployment.apps/my-app created

$ kubectl get pods
NAME                      READY   STATUS     RESTARTS   AGE
my-app-6b4fb4958f-44ds7   0/1     Init:0/1   0          4s
my-app-6b4fb4958f-s7wmr   0/1     Init:0/1   0          4s

The pods are hold on Init:0/1 status waiting for the completion of the init container. - Now let's create the service which the initcontainer is waiting to be running before completing his task:

apiVersion: v1
kind: Service
metadata:
  name: mydb
spec:
  ports:
  - protocol: TCP
    port: 80
    targetPort: 9377

• We will apply it and monitor the changes in the pods:

$ kubectl apply -f mydb-svc.yaml 
service/mydb created

$ kubectl get pods -w
NAME                      READY   STATUS     RESTARTS   AGE
my-app-6b4fb4958f-44ds7   0/1     Init:0/1   0          91s
my-app-6b4fb4958f-s7wmr   0/1     Init:0/1   0          91s
my-app-6b4fb4958f-s7wmr   0/1     PodInitializing   0          93s
my-app-6b4fb4958f-44ds7   0/1     PodInitializing   0          94s
my-app-6b4fb4958f-s7wmr   1/1     Running           0          94s
my-app-6b4fb4958f-44ds7   1/1     Running           0          95s
^C
$ kubectl get all
NAME                          READY   STATUS    RESTARTS   AGE
pod/my-app-6b4fb4958f-44ds7   1/1     Running   0          99s
pod/my-app-6b4fb4958f-s7wmr   1/1     Running   0          99s

NAME                 TYPE        CLUSTER-IP      EXTERNAL-IP   PORT(S)   AGE
service/mydb         ClusterIP   10.100.106.67   <none>        80/TCP    14s

NAME                     READY   UP-TO-DATE   AVAILABLE   AGE
deployment.apps/my-app   2/2     2            2           99s

NAME                                DESIRED   CURRENT   READY   AGE
replicaset.apps/my-app-6b4fb4958f   2         2         2       99s

If you need help to apply this to your environment let me know.