Run Batch Jobs with Argo CLI Workflows - Container Compute Service

Create a workflow

Argo Workflows is a Kubernetes-native workflow engine for orchestrating concurrent jobs. This tutorial walks you through submitting a sample workflow using the Argo CLI and verifying that it runs to completion.

In this tutorial, you will:

Define a workflow in YAML
Submit the workflow to your cluster
Verify that the workflow completes successfully

Prerequisites

Before you begin, ensure that you have:

Installed the Argo Workflows component and the Alibaba Cloud Argo CLI. See Enable batch job orchestration

Submit a workflow

Create a file named helloworld-workflow.yaml with the following content:

apiVersion: argoproj.io/v1alpha1
kind: Workflow                # Defines a new Kubernetes resource type for Argo Workflows.
metadata:
  generateName: hello-world-  # The prefix for the workflow name. Kubernetes will append a unique suffix.
spec:
  entrypoint: main            # Specifies the template to execute first.
  templates:
    - name: main              # The name of the template.
      container:
        image: mirrors-ssl.aliyuncs.com/busybox:latest
        command: [ echo ]
        args: [ "hello world" ]

Submit the workflow:

argo submit helloworld-workflow.yaml -n argo

Check the status of the workflow.

Run the following command to get the list of workflows:

argo list -n argo

Expected output:

NAME                STATUS      AGE   DURATION   PRIORITY
hello-world-XXXXX   Succeeded   2m    37s        0

This output indicates that the workflow is complete.

Run the following command to check the status of the workflow:

argo get hello-world-XXXXX -n argo

Expected output:

Name:                hello-world-XXXXX
Namespace:           argo
ServiceAccount:      unset (will run with the default ServiceAccount)
Status:              Succeeded
Conditions:
 PodRunning          False
 Completed           True
....
Duration:            37 seconds
Progress:            1/1
ResourcesDuration:   17s*(1 cpu),17s*(100Mi memory)

STEP                  TEMPLATE  PODNAME            DURATION  MESSAGE
 ✔ hello-world-XXXXX  whalesay  hello-world-XXXXX  27s

Status: Succeeded confirms the workflow completed without errors.

What's next

Workflow resources are periodically deleted. To persist workflow data to a database, see Persist workflows.