761fdeacaa
Automatic merge from submit-queue. If you want to cherry-pick this change to another branch, please follow the instructions <a href="https://github.com/kubernetes/community/blob/master/contributors/devel/cherry-picks.md">here</a>. Make kubectl explain print the Kind and APIVersion of the resource **What this PR does / why we need it**: Kubectl explain currently doesn't print out the Kind and APIversion of the resource being explained. When running `kubectl explain hpa.spec`, for example, there is no way of knowing whether you're looking at the `autoscaling/v1` or the `autoscaling/v2beta1` version. Also, `kubectl explain` is often used as a reference when writing YAML/JSON object manifests. It allows you to look up everything except the API version. Currently, you either need to know the API Version of a resource by heart or look it up in the online API docs. This PR fixes both problems by having `kubectl explain` print out the full Kind and APIVersion of the resource it is explaining. Here are a few examples of the new output: ``` $ kubectl explain deploy KIND: Deployment VERSION: extensions/v1beta1 DESCRIPTION: ... $ kubectl explain hpa.spec KIND: HorizontalPodAutoscaler VERSION: autoscaling/v1 RESOURCE: spec <Object> DESCRIPTION: ... $ kubectl explain hpa.spec.maxReplicas KIND: HorizontalPodAutoscaler VERSION: autoscaling/v1 FIELD: maxReplicas <integer> DESCRIPTION: ... $ kubectl explain hpa.spec --recursive KIND: HorizontalPodAutoscaler VERSION: autoscaling/v1 RESOURCE: spec <Object> DESCRIPTION: behaviour of autoscaler. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#spec-and-status. specification of a horizontal pod autoscaler. FIELDS: maxReplicas <integer> minReplicas <integer> scaleTargetRef <Object> apiVersion <string> kind <string> name <string> targetCPUUtilizationPercentage <integer> ``` **Release note**: ```release-note Kubectl explain now prints out the Kind and API version of the resource being explained ``` |
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Kubernetes
Kubernetes is an open source system for managing containerized applications across multiple hosts, providing basic mechanisms for deployment, maintenance, and scaling of applications.
Kubernetes builds upon a decade and a half of experience at Google running production workloads at scale using a system called Borg, combined with best-of-breed ideas and practices from the community.
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