使用 Helm v3 安装 datree 时遇到错误

Question

我是 Kubernetes 的新手，最近我尝试登录到我的 datree 仪表板。 问题是，在我的超级终端上尝试安装 datree 时，安装失败。

所以根据 datree 我应该在我的终端中输入以下内容。

helm repo add datree-webhook https://datreeio.github.io/admission-webhook-datree
helm repo update
helm install -n datree datree-webhook datree-webhook/datree-admission-webhook --debug \
--create-namespace \
--set datree.token=<DATREE_TOKEN> \
--set datree.clusterName=$(kubectl config current-context)

我已经用我的令牌替换了。 安装头盔 v3。 这就是我得到的错误

Error: INSTALLATION FAILED: cannot re-use a name that is still in use
helm.go:84: [debug] cannot re-use a name that is still in use
helm.sh/helm/v3/pkg/action.(*Install).availableName
        helm.sh/helm/v3/pkg/action/install.go:486
helm.sh/helm/v3/pkg/action.(*Install).RunWithContext
        helm.sh/helm/v3/pkg/action/install.go:200
main.runInstall
        helm.sh/helm/v3/cmd/helm/install.go:280
main.newInstallCmd.func2
        helm.sh/helm/v3/cmd/helm/install.go:139
github.com/spf13/cobra.(*Command).execute
        github.com/spf13/[email protected]/command.go:916
github.com/spf13/cobra.(*Command).ExecuteC
        github.com/spf13/[email protected]/command.go:1044
github.com/spf13/cobra.(*Command).Execute
        github.com/spf13/[email protected]/command.go:968
main.main
        helm.sh/helm/v3/cmd/helm/helm.go:83
runtime.main
        runtime/proc.go:250
runtime.goexit
        runtime/asm_amd64.s:1571
INSTALLATION FAILED
main.newInstallCmd.func2
        helm.sh/helm/v3/cmd/helm/install.go:141
github.com/spf13/cobra.(*Command).execute
        github.com/spf13/[email protected]/command.go:916
github.com/spf13/cobra.(*Command).ExecuteC
        github.com/spf13/[email protected]/command.go:1044
github.com/spf13/cobra.(*Command).Execute
        github.com/spf13/[email protected]/command.go:968
main.main
        helm.sh/helm/v3/cmd/helm/helm.go:83
runtime.main
        runtime/proc.go:250
runtime.goexit
        runtime/asm_amd64.s:1571

如果有人能帮助我解决我的错误，我将不胜感激。 谢谢。

Answer 1

您安装了

datree

版本。卸载旧版本并尝试重新安装。

helm uninstall datree

Answer 2

嗨，即使我已经启动了 minikube，我仍然面临这些问题。我们可以有任何其他解决方案吗