1. Defining and Querying Labels and Annotations

1. Create three different Pods with the names frontend, backend and database that use the image nginx.
2. Declare labels for those Pods as follows:

frontend: env=prod, team=shiny
backend: env=prod, team=legacy, app=v1.2.4
database: env=prod, team=storage

3. Declare annotations for those Pods as follows:

frontend: contact=John Doe, commit=2d3mg3
backend: contact=Mary Harris

3. Render the list of all Pods and their labels.
4. Use label selectors on the command line to query for all production Pods that belong to the teams shiny and legacy.
5. Remove the label env from the backend Pod and rerun the selection.
6. Render the surrounding 3 lines of YAML of all Pods that have
   annotations.

You can assign labels upon Pod creation with the --labels option.

$ kubectl run frontend --image=nginx --restart=Never --labels=env=prod,team=shiny
pod/frontend created
$ kubectl run backend --image=nginx --restart=Never --labels=env=prod,team=legacy,app=v1.2.4
pod/backend created
$ kubectl run database --image=nginx --restart=Never --labels=env=prod,team=storage
pod/database created

Edit the existing Pods with the edit command and add the annotations as follows:

apiVersion: v1
kind: Pod
metadata:
  annotations:
    commit: 2d3mg3
    contact: John Doe
  name: frontend
...
apiVersion: v1
kind: Pod
metadata:
  annotations:
    contact: 'Mary Harris'
  name: backend
...

Render all Pods and their Pods including their assigned labels.

$ kubectl get pods --show-labels
NAME       READY   STATUS    RESTARTS   AGE   LABELS
backend    1/1     Running   0          41s   app=v1.2.4,env=prod,team=legacy
database   1/1     Running   0          8s    env=prod,team=storage
frontend   1/1     Running   0          1m    env=prod,team=shiny

You can combine the selector rules into one expression.

$ kubectl get pods -l 'team in (shiny, legacy)',env=prod --show-labels
NAME       READY   STATUS    RESTARTS   AGE   LABELS
backend    1/1     Running   0          19m   app=v1.2.4,env=prod,team=legacy
frontend   1/1     Running   0          20m   env=prod,team=shiny

You can add and remove labels with the label command. The selection now doesn’t match for the backend Pod anymore.

$ kubectl label pods backend env-
pod/backend labeled
$ kubectl get pods -l 'team in (shiny, legacy)',env==prod --show-labels
NAME       READY   STATUS    RESTARTS   AGE   LABELS
frontend   1/1     Running   0          23m   env=prod,team=shiny

The grep command can help with rendering any YAML code around the identified search term.

$ kubectl get pods -o yaml | grep -C 3 'annotations:'
  apiVersion: v1
  kind: Pod
  metadata:
    annotations:
      /podIP: 192.168.60.163/32
      contact: Mary Harris
    creationTimestamp: 2019-05-10T17:57:38Z
--
--
  apiVersion: v1
  kind: Pod
  metadata:
    annotations:
      /podIP: 192.168.60.147/32
    creationTimestamp: 2019-05-10T17:58:11Z
    labels:
--
--
  apiVersion: v1
  kind: Pod
  metadata:
    annotations:
      /podIP: 192.168.60.159/32
      commit: 2d3mg3
      contact: John Doe

2. Performing Rolling Updates for a Deployment

1. Create a Deployment named deploy with 3 replicas. The Pods should use the nginx image and the name nginx. The Deployment uses the label tier=backend. The Pods should use the label app=v1.
2. List the Deployment and ensure that the correct number of replicas
   is running.
3. Update the image to nginx:latest.
4. Verify that the change has been rolled out to all replicas.
5. Scale the Deployment to 5 replicas.
6. Have a look at the Deployment rollout history.
7. Revert the Deployment to revision 1.
8. Ensure that the Pods use the image nginx.

Generate the YAML for a Deployment plus Pod for further editing.

$ kubectl create deployment deploy --image=nginx --dry-run -o yaml > deploy.yaml

Edit the labels. The selector should match the labels of the Pods. Change the replicas from 1 to 3.

apiVersion: apps/v1
kind: Deployment
metadata:
  creationTimestamp: null
  labels:
    tier: backend
  name: deploy
spec:
  replicas: 1
  selector:
    matchLabels:
      app: v1
  strategy: {}
  template:
    metadata:
      creationTimestamp: null
      labels:
        app: v1
    spec:
      containers:
      - image: nginx
        name: nginx
        resources: {}
status: {}

Create the deployment by pointing it to the YAML file.

$ kubectl create -f deploy.yaml
deployment.apps/deploy created
$ kubectl get deployments
NAME     DESIRED   CURRENT   UP-TO-DATE   AVAILABLE   AGE
deploy   3         3         3            1           4s

Set the new image and check the revision history.

$ kubectl set image deployment/deploy nginx=nginx:latest
deployment.extensions/deploy image updated

$ kubectl rollout history deploy
deployment.extensions/deploy
REVISION  CHANGE-CAUSE
1         <none>
2         <none>

$ kubectl rollout history deploy --revision=2
deployment.extensions/deploy with revision #2
Pod Template:
  Labels:	app=v1
	pod-template-hash=1370799740
  Containers:
   nginx:
    Image:	nginx:latest
    Port:	<none>
    Host Port:	<none>
    Environment:	<none>
    Mounts:	<none>
  Volumes:	<none>

Now scale the Deployment to 5 replicas.

$ kubectl scale deployments deploy --replicas=5
deployment.extensions/deploy scaled

Roll back to revision 1. You will see the new revision. Inspecting the revision should show the image nginx.

$ kubectl rollout undo deployment/deploy --to-revision=1
deployment.extensions/deploy


$ kubectl rollout history deploy
deployment.extensions/deploy
REVISION  CHANGE-CAUSE
2         <none>
3         <none>

$ kubectl rollout history deploy --revision=3
deployment.extensions/deploy with revision #3
Pod Template:
  Labels:	app=v1
	pod-template-hash=454670702
  Containers:
   nginx:
    Image:	nginx
    Port:	<none>
    Host Port:	<none>
    Environment:	<none>
    Mounts:	<none>
  Volumes:	<none>

3. Creating a Scheduled Container Operation

1. Create a CronJob named current-date that runs every minute and executes the shell command echo "Current date: $(date)".
2. Watch the jobs as they are being scheduled.
3. Identify one of the Pods that ran the CronJob and render the logs.
4. Determine the number of successful executions the CronJob will keep
   in its history. Delete the Job.

答案：
The run command is deprecated but it provides a good shortcut for creating a CronJob with a single command.
注意：此命令kubectl v1.8并不会显示创建cronjob成功，仅是pod

$ kubectl run current-date --schedule="* * * * *" --restart=OnFailure --image=nginx -- /bin/sh -c 'echo "Current date: $(date)"'
kubectl run --generator=cronjob/v1beta1 is DEPRECATED and will be removed in a future version. Use kubectl create instead.
cronjob.batch/hello created

正确命令：

kubectl create cronjob current-update --image=nginx --schedule="* * * * *" --restart=OnFailure -- /bin/sh -c 'echo "Current date: $(date)"'

Watch the Jobs as they are executed.

$ kubectl get cronjobs --watch
NAME                      COMPLETIONS   DURATION   AGE
current-date-1557522540   1/1           3s         103s
current-date-1557522600   1/1           4s         43s

Identify one of the Pods (the label indicates the Job name) and render its logs.

$ kubectl get pods --show-labels
NAME                            READY   STATUS      RESTARTS   AGE   LABELS
current-date-1557522540-dp8l9   0/1     Completed   0          1m    controller-uid=3aaabf96-7369-11e9-96c6-025000000001,job-name=current-date-1557523140,run=current-date

$ kubectl logs current-date-1557522540-dp8l9
Current date: Fri May 10 21:09:12 UTC 2019

The value of the attribute successfulJobsHistoryLimit defines how many executions are kept in the history.

$ kubectl get cronjobs current-date -o yaml | grep successfulJobsHistoryLimit:
  successfulJobsHistoryLimit: 3

Finally, delete the CronJob.

$ kubectl delete cronjob current-date