For apply / replace configMap I need to run two kubectl commands in the following way:
kubectl create configmap sb-products-files --from-file=configmap_files/ \
-o yaml --dry-run=client | kubectl replace --namespace=myNamespace -f -
Basically, I need to run one command, and it's output send as input to another command.
Is there any way to accomplish it in bitbucket pipeline?
I've got similar issue. I need to execute `kubectl` to generate a manifest file on the fly.
kubectl create configmap foo --from-file=foo.txt -o yaml --dry-run > foo.yaml
Using atlassian/kubectl-run would require me to configure and provide KUBE_CONFIG (because it's mandatory for that pipe) which I'd like to avoid.
- pipe: atlassian/kubectl-run:3.1.2 variables: KUBE_CONFIG: '<string>' KUBECTL_COMMAND: '<string>'
So I ended up adding an extra step with custom image to generate output file which I pass to the next step through as an artifact.
name: 'Create ConfigMap'
- kubectl create configmap foo --from-file=foo.txt -o yaml --dry-run > foo.yaml
For such cases, lifting requirement for mandatory KUBE_CONFIG in the official pipe would be practical (or to add `kubectl` to atlassian/default-image).
@Kostya Kostyushko I meant somethong like
- kubectl ... > output.yml
- pipe: atlassian/kubectl-run:2.0.0
The location of your resource file can vary depending on your requirements and project structure.
Ok. I found.
For those who need to run multiple kubectl commands
this will be a good solution:
- step: # trigger: manual name: Deploy to Kubernetes image: atlassian/pipelines-kubectl script: # NOTE: $KUBECONFIG is secret stored as a base64 encoded string # Base64 decode our kubeconfig file into a temporary kubeconfig.yml file (this will be destroyed automatically after this step runs) - echo $KUBECONFIG | base64 -d > kubeconfig.yml # Tell our Kubernetes deployment to use the new Docker image tag - kubectl --kubeconfig=kubeconfig.yml --namespace=<namespace> set image deployment/<deployment-name> <deployment-name>=<docker-username>/<docker-image>:$BITBUCKET_COMMIT
@Kostya Kostyushko yeap, you can use also kubectl official version, whatever is suitable for you
In the future we may think about suppoorting output sharing from pipe execution, so that you can execute pipes sequentially passing output from previous execution
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