How to Create and Manage Kubernetes CronJobs - Knowledgebase

Introduction

Kubernetes CronJobs allow you to execute commands at specified times, dates, or intervals. A CronJob creates Jobs on a repeated schedule, and these Jobs are Kubernetes objects that represent one or multiple containerized tasks that run to completion. A typical use case may include backup operations, sending emails, or running cleanup scripts. With CronJobs, you can automate multiple tasks directly within your cluster to ensure consistent configurations and improve scalability.

This article explains how to create and manage Kubernetes CronJobs in a Rcs Kubernetes Engine (VKE) cluster. You are to set up multiple CronJobs and perform different tasks to use the available control policies.

Prerequisites

Before you begin:

Cron Syntax

Kubernetes CronJobs use schedule expressions based on the standard Cron format that represents time intervals at which a Job is executed. Expressions are divided into five fields that are separated by spaces. Each field represents a different part of the schedule and a valid expression must include the following values:

Minute when the task runs (0 to 59)
Hour (0 to 23)
Day of the month when the task runs (1 to 31)
Month (1 to 12)

Day of the week (0 to 6, or SUN, MON, TUE, and so on)

# ┌───────────── minute (0 - 59)
# │ ┌───────────── hour (0 - 23)
# │ │ ┌───────────── day of the month (1 - 31)
# │ │ │ ┌───────────── month (1 - 12)
# │ │ │ │ ┌───────────── day of the week (0 - 6) (Sunday to Saturday, OR sun, mon, tue, wed, thu, fri, sat)
# │ │ │ │ │                                    
# │ │ │ │ │                                   
# │ │ │ │ │
# * * * * *

Below are examples of valid Cron expressions that run a task depending on the set value:

* * * * *: Every minute
30 6 * * *: Every day at 6:30 AM
*/10 * * * *: Every 10 minutes
45 16 1 * *: Runs the task at 4:45 PM on the first day of every month
0 0 * * 0: Runs the task at midnight every Sunday
*/5 * * * 1-5: Every 5 minutes on weekdays (Monday to Friday)
0 0 1 1 *: Runs the task at midnight on January 1st

Create a Kubernetes CronJob

To implement Kubernetes CronJobs, create a sample CronJob that runs a container creation task that follows a specific schedule as described in the steps below.

Create a new Cronjob YAML file cron-job.yaml using a text editor such as Nano.
console
```
$ nano cron-job.yaml
```

Add the following contents to the file.

                        yaml
                        
                    
apiVersion: batch/v1
kind: CronJob
metadata:
  name: example-cronjob
spec:
  schedule: "*/2 * * * *"
  jobTemplate:
    spec:
      template:
        spec:
          containers:
          - name: busybox
            image: busybox:latest
            command:
            - /bin/sh
            - -c
            - echo 'Hello World '; date
          restartPolicy: OnFailure

Save and close the file.

The above configuration creates a new CronJob that runs a busybox container which prints a Hello World prompt to the console. The task runs every 2 minutes as declared by the */2 * * * * Cron expression:

Apply the CronJob to your cluster.
console
```
$ kubectl apply -f cron-job.yaml
```

Manage Kubernetes CronJobs

View all cluster CronJobs.

                        console
                        
$ kubectl get cronjobs

Output:

NAME              SCHEDULE      SUSPEND   ACTIVE   LAST SCHEDULE   AGE
example-cronjob   */2 * * * *   False     0        26s             49s

View all jobs created from CronJob tasks.

                        console
                        
$ kubectl get jobs

Output:

NAME                       COMPLETIONS   DURATION   AGE
example-cronjob-28398856   1/1           4s         81s

View jobs created by a specific CronJob. For example, example-cronjob.
console
```
$ kubectl get jobs -l cron-job-name=example-cronjob
```
To manually create a new job using your existing CronJob, for example, example-job, run the following command:
console
```
$ kubectl create job --from=cronjob/example-cronjob example-job
```
View the job container logs to verify the ongoing processes. For example, view the example-job logs.
console
```
$ kubectl logs job/example-job
```
Output:
```
Hello World 
Sat Dec 30 10:18:50 UTC 2023
```

Pause a Kubernetes CronJob

To pause the execution process of a Kubernetes CronJob, set the spec.suspend field to true. When paused, future CronJobs won't execute unless started again. However, existing jobs are not affected by the main Cron execution changes. In this section, pause the example-cronjob resource you created earlier as described in the steps below.

Patch your target CronJob using Kubectl and set the spec.suspend value to true.

                        console
                        
$ kubectl patch cronjob/example-cronjob -p '{"spec": {"suspend": true}}'

Output:

cronjob.batch/example-cronjob patched

View available CronJobs and verify the SUSPEND value attached to your target resource.
console
```
$ kubectl get cronjobs
```
Output:
```
NAME              SCHEDULE      SUSPEND   ACTIVE   LAST SCHEDULE   AGE
example-cronjob   */2 * * * *   True      0        92s             7m55s
```
As displayed in the above output, the example-cronjob execution process is paused. When the SUSPEND value is set to False, the CronJob runs normally.
To start the CronJob again, modify the specification value back to false.
console
```
$ kubectl patch cronjob/example-cronjob -p '{"spec": {"suspend": false}}'
```

Set Up CronJob Policies

CronJob policies allow you to modify the behavior of CronJobs within your cluster. This allows you to control multiple jobs, set up execution deadlines, and the restart procedure depending on your set policies which include the following:

Concurrency Policy: Manages active Jobs simultaneously attached to the same CronJob. It's controlled using the .spec.concurrencyPolicy field and accepts the following values:
- Allow: Enables multiple Jobs to run at the same time
- Forbid: Disables concurrently running jobs. If a specific job fails to complete, the next Job does not start
- Replace: Ensures that before starting the next scheduled job, any existing running job stops and replaces it with the new job
Starting Deadline Mechanism: Specifies the amount of time in seconds that acts as a deadline to start the CronJob.
Job History Limits: Sets the CronJob execution history with the following values:
- spec.successfulJobsHistoryLimit: Sets the number of completed jobs to keep in memory.
- spec.failedJobsHistoryLimit: Sets the number of failed Jobs to keep in memory.
Backoff Limit: Sets the number of times a failed Job should restart. By default, it's set to 6. If a Job fails after 6 restarts, it's marked as failed.
Active Deadline Seconds: Sets the maximum duration a Job can run. When the time limit expires, the job terminates. For example, if you set the execution deadline to 3600, the Job can run for up to 1 hour (3600 seconds). After 1 hour, Kubernetes stops the job. This is important when a job is stuck or takes long to complete.

To implement CronJob policies, modify your target rules within the resource definition file. For example, create a new jobpolicy.yaml file.

console

$ nano jobpolicy.yaml

Add the following contents to the file.

                        yaml
                        
                    
apiVersion: batch/v1
kind: CronJob
metadata:
  name: example-cronjob-2
spec:
  schedule: "*/5 * * * *"
  concurrencyPolicy: Forbid
  startingDeadlineSeconds: 300
  jobTemplate:
    spec:
      backoffLimit: 3
      activeDeadlineSeconds: 1800
      template:
        metadata:
          labels:
            app: example-app
        spec:
          containers:
          - name: busybox
            image: busybox:latest
            command:
            - /bin/sh
            - -c
            - date
          restartPolicy: OnFailure
  successfulJobsHistoryLimit: 5
  failedJobsHistoryLimit: 3

Save and close the file.

The code above uses the following policies:

concurrencyPolicy: Set to Forbid to avoid concurrent executions
startingDeadlineSeconds: Sets 300 seconds as the maximum time allowed for a Job to start
backoffLimit: Limits the maximum number of times, 3, to retry failed Jobs
activeDeadlineSeconds: Limits the maximum runtime for a single Job to 1800 seconds
successfulJobsHistoryLimit: Sets the maximum number of completed job instances to preserve to 5
failedJobsHistoryLimit: Sets the number of failed Job instances to preserve to 3

Example: Create a MySQL Database Backup CronJob

Encode a new strong MySQL access password using base64.
console
```
$ echo -n 'strong-password' | base64
```
Copy the generated password string to your clipboard.
Create a new Secret resource file mysql-secret.yaml to store the MySQL root user password.
console
```
$ nano mysql-secret.yaml
```

Add the following contents to the file. Replace hashed-password with your actual base64 encoded password value.

                        yaml
                        
                    
apiVersion: v1
kind: Secret
metadata:
  name: mysql-db-credentials
type: Opaque
data:
  MYSQL_ROOT_PASSWORD: hashed-password

Save and close the file.

Apply the Secret to your cluster.
console
```
$ kubectl apply -f mysql-secret.yaml
```
Create a new PVC resource file pvc.yaml to set Rcs Block Storage as the MySQL data storage method.
console
```
$ nano pvc.yaml
```

Add the following contents to the file.

                        yaml
                        
                    
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: mysql-backup-pv-claim
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 40Gi
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
  name: mysql-pv-claim
spec:
  accessModes:
    - ReadWriteOnce
  resources:
    requests:
      storage: 40Gi

Save and close the file.

The above configuration creates two Kubernetes PersistentVolumeClaims (PVCs) mysql-backup-pv-claim and mysql-pv-claim using Rcs Block Storage. Both volumes consist of 40 GB with a ReadWriteOnce access mode that allows the volume to be mounted as read-write by a single node.

Apply the resource to your cluster.
console
```
$ kubectl apply -f pvc.yaml
```

View the cluster PVCs to verify that the new resources are available.

                        console
                        
$ kubectl get pvc

Output:

NAME                    STATUS   VOLUME                 CAPACITY   ACCESS MODES   STORAGECLASS          AGE
mysql-backup-pv-claim   Bound    pvc-5095c0a035754f1e   40Gi       RWO            vultr-block-storage   10s
mysql-pv-claim          Bound    pvc-48284eae3adf445b   40Gi       RWO            vultr-block-storage   10s

Create a new MySQL resource file mysql.yaml.
console
```
$ nano mysql.yaml
```

Add the following contents to the file.

                        yaml
                        
                    
apiVersion: apps/v1
kind: Deployment
metadata:
  name: mysql-deployment
spec:
  replicas: 1
  selector:
    matchLabels:
      app: mysql
  template:
    metadata:
      labels:
        app: mysql
    spec:
      containers:
      - name: mysql
        image: mysql:5.7
        env:
        - name: MYSQL_ROOT_PASSWORD
          valueFrom:
            secretKeyRef:
              name: mysql-db-credentials
              key: MYSQL_ROOT_PASSWORD
        - name: MYSQL_DATABASE
          value: "mydatabase"
        ports:
        - containerPort: 3306
        volumeMounts:
        - name: mysql-persistent-storage
          mountPath: /var/lib/mysql
      volumes:
      - name: mysql-persistent-storage
        persistentVolumeClaim:
          claimName: mysql-pv-claim
---
apiVersion: v1
kind: Service
metadata:
  name: mysql-service
spec:
  selector:
    app: mysql
  ports:
  - protocol: TCP
    port: 3306
    targetPort: 3306

Save and close the file.

The above configuration consists of a MySQL database Deployment and a Service to run in your cluster on the default port 3306. The MYSQL_ROOT_PASSWORD variable uses the base64 password available in your cluster Secret resource. Together, the configuration creates a MySQL deployment with a persistent storage volume and a service that provides a stable endpoint for accessing the database within the cluster.

Apply the MySQL resources to your cluster.
console
```
$ kubectl apply -f mysql.yaml
```

View the cluster deployments and verify that your MySQL resource is available.

                        console
                        
$ kubectl get deployments

Output:

NAME               READY   UP-TO-DATE   AVAILABLE   AGE
mysql-deployment   1/1     1            1           2m

Create a new CronJob resource file mysql-cronjob.yaml.
console
```
$ nano mysql-cronjob.yaml
```

Add the following contents to the file.

                        yaml
                        
                    
apiVersion: batch/v1
kind: CronJob
metadata:
  name: db-backup-cronjob
spec:
  schedule: "0 2 * * *"
  concurrencyPolicy: Replace
  startingDeadlineSeconds: 100
  jobTemplate:
    spec:
      template:
        spec:
          containers:
          - name: db-backup
            image: mysql:5.7
            env:
            - name: MYSQL_ROOT_PASSWORD
              valueFrom:
                secretKeyRef:
                  name: mysql-db-credentials
                  key: MYSQL_ROOT_PASSWORD
            - name: MYSQL_HOST
              value: "mysql-service"
            args:
            - "/bin/bash"
            - "-c"
            - "mysqldump -h ${MYSQL_HOST} -u root -p${MYSQL_ROOT_PASSWORD} --all-databases | gzip > /backup/all-databases-$(date +%Y-%m-%d_%H%M%S).sql.gz"
            volumeMounts:
            - name: backup-volume
              mountPath: /backup
          restartPolicy: OnFailure
          volumes:
          - name: backup-volume
            persistentVolumeClaim:
              claimName: mysql-backup-pv-claim

The above configuration creates a new Kubernetes CronJob db-backup-cronjob that runs every day at 2:00 AM as set with the expression 0 2 * * * and the following policies:

concurrencyPolicy: Replace: Specifies that when an existing backup job is running, the new job replaces the active job
startingDeadlineSeconds: 100: Terminates the job if the starting time exceeds 100 seconds
Within the jobTemplate:
- The container creates a dump of all databases using mysqldump, compresses the output with gzip, and saves it to the /backup directory with a filename that includes the cluster date and time
- restartPolicy: OnFailure: Specifies that the Job should restart the container on-failure
- backup-volume is mounted to the /backup directory within the container which uses mysql-backup-pv-claim for storage to persistently back up files.

Apply the new CronJob to your cluster.
console
```
$ kubectl apply -f mysql-cronjob.yaml
```

View the cluster Cronjobs and verify that the new resource is available

                        console
                        
$ kubectl get cronjobs

Output:

NAME                SCHEDULE      SUSPEND   ACTIVE   LAST SCHEDULE   AGE
db-backup-cronjob   0 2 * * *     False     0        <none>          16s

Create a new MySQL data file example-data.sql.
console
```
$ nano example-data.sql
```

Add the following contents to the file.

                        sql
                        
                    
USE mydatabase;

CREATE TABLE people (
id INT AUTO_INCREMENT PRIMARY KEY,
name VARCHAR(255) NOT NULL,
age INT NOT NULL
);

INSERT INTO people (name, age) VALUES ('Alice', 30);
INSERT INTO people (name, age) VALUES ('Bob', 25);
INSERT INTO people (name, age) VALUES ('Carol', 27);

Save and close the file.

The above script uses the database mydatabase to creates a new MySQL table people. Then, the table is populated with sample data values in 3 columns.

View the cluster Pods and keep note of the MySQL database pod name.
console
```
$ kubectl get pods
```
Your output should look like the one below:
```
NAME                                READY   STATUS      RESTARTS   AGE
mysql-deployment-cc487f97b-4k9n2    1/1     Running     0          26m
```
Copy your MySQL Pod name to your clipboard to use when testing the script. For example, mysql-deployment-cc487f97b-4k9n2.
Copy the MySQL data file to the /tmp/ directory within your MySQL Pod. Replace mysql-deployment-cc487f97b-4k9n2 with your actual Pod name.
console
```
$ kubectl cp example-data.sql mysql-deployment-cc487f97b-4k9n2:/tmp/example-data.sql
```

When successful, enter the MySQL Pod shell.

                        console
                        
$ kubectl exec -it mysql-deployment-cc487f97b-4k9n2 -- /bin/bash

Import the MySQL data file from the /tmp directory to populate your target database mydatabase with the sample data.
console
```
# mysql -u root -p$MYSQL_ROOT_PASSWORD mydatabase < /tmp/example-data.sql
```
When successful, exit the shell.
console
```
# exit
```

Manually create a new job using the main db-backup-cronjob.

                        console
                        
$ kubectl create job --from=cronjob/db-backup-cronjob manual-job

Wait at least 1 minute to create the new job, then, view the cluster jobs.
console
```
$ kubectl get jobs/manual-job
```
Output:
```
NAME   COMPLETIONS   DURATION   AGE
job    1/1           3s         57s
```
Verify that the COMPLETIONS includes a 1/1 value to confirm that the new job is ready.
Create a new MySQL backup query Pod file backup-check-pod.yaml.
console
```
$ nano backup-check-pod.yaml
```

Add the following contents to the file.

                        yaml
                        
                    
apiVersion: v1
kind: Pod
metadata:
  name: backup-check-pod
spec:
  volumes:
    - name: backup-volume
      persistentVolumeClaim:
        claimName: mysql-backup-pv-claim
  containers:
    - name: busybox
      image: busybox
      command: ['sh', '-c', 'echo "Backup Check Pod Running"; sleep 3600']
      volumeMounts:
        - name: backup-volume
          mountPath: /backup

Save and close the file.

The above configuration creates a new Pod that runs the busybox container which expires after 3600 seconds.

Apply the Pod to your cluster.

                        console
                        
$ kubectl apply -f backup-check-pod.yaml

Wait at least 1 minute for the pod to finish creating, then, access the Pod shell.
console
```
$ kubectl exec -it backup-check-pod -- /bin/sh
```
Switch to the backup directory.
console
```
# cd 
        
```

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How to Create and Manage Kubernetes CronJobs Print

Introduction

Prerequisites

Cron Syntax

Create a Kubernetes CronJob

Manage Kubernetes CronJobs

Pause a Kubernetes CronJob

Set Up CronJob Policies

Example: Create a MySQL Database Backup CronJob

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Categories

Categories

Support

How to Create and Manage Kubernetes CronJobs Print

Introduction

Prerequisites

Cron Syntax

Create a Kubernetes CronJob

Manage Kubernetes CronJobs

Pause a Kubernetes CronJob

Set Up CronJob Policies

Example: Create a MySQL Database Backup CronJob

Was this answer helpful?

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Support

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