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Dry Run

Dry run will help you to understand what are the real resources which will to be expanded and deployed to the Kubernetes cluster. In other words, it will mock to run the same logic as KubeVela's controller and output the results locally.

For example, let's dry-run the following application:

# app.yaml
apiVersion: core.oam.dev/v1beta1
kind: Application
metadata:
name: vela-app
spec:
components:
- name: express-server
type: webservice
properties:
image: crccheck/hello-world
port: 8000
traits:
- type: ingress
properties:
domain: testsvc.example.com
http:
"/": 8000
vela dry-run -f app.yaml
---
# Application(vela-app) -- Comopnent(express-server)
---
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app.oam.dev/appRevision: ""
app.oam.dev/component: express-server
app.oam.dev/name: vela-app
workload.oam.dev/type: webservice
spec:
selector:
matchLabels:
app.oam.dev/component: express-server
template:
metadata:
labels:
app.oam.dev/component: express-server
spec:
containers:
- image: crccheck/hello-world
name: express-server
ports:
- containerPort: 8000
---
apiVersion: v1
kind: Service
metadata:
labels:
app.oam.dev/appRevision: ""
app.oam.dev/component: express-server
app.oam.dev/name: vela-app
trait.oam.dev/resource: service
trait.oam.dev/type: ingress
name: express-server
spec:
ports:
- port: 8000
targetPort: 8000
selector:
app.oam.dev/component: express-server
---
apiVersion: networking.k8s.io/v1beta1
kind: Ingress
metadata:
labels:
app.oam.dev/appRevision: ""
app.oam.dev/component: express-server
app.oam.dev/name: vela-app
trait.oam.dev/resource: ingress
trait.oam.dev/type: ingress
name: express-server
spec:
rules:
- host: testsvc.example.com
http:
paths:
- backend:
serviceName: express-server
servicePort: 8000
path: /
---

In this example, the definitions(webservice and ingress) which vela-app depends on are the built-in components and traits of KubeVela. You can also use -d or --definitions to specify your local definition files.

-d or --definitions permits users to provide capability definitions used in the application from local files. dry-run cmd will prioritize the provided capabilities than the living ones in the cluster.

Last updated on by Wei (段少)