aws cloudformation deregister-type

Marks an extension or extension version as DEPRECATED in the CloudFormation registry, removing it from active use. Deprecated extensions or extension versions cannot be used in CloudFormation operations. To deregister an entire extension, you must individually deregister all active versions of that extension. If an extension has only a single active version, deregistering that version results in the extension itself being deregistered and marked as deprecated in the registry. You cannot deregister the default version of an extension if there are other active version of that extension. If you do deregister the default version of an extension, the textensionype itself is deregistered as well and marked as deprecated. To view the deprecation status of an extension or extension version, use DescribeType

Options

NameDescription
--arn <string>The Amazon Resource Name (ARN) of the extension. Conditional: You must specify either TypeName and Type, or Arn
--type <string>The kind of extension. Conditional: You must specify either TypeName and Type, or Arn
--type-name <string>The name of the extension. Conditional: You must specify either TypeName and Type, or Arn
--version-id <string>The ID of a specific version of the extension. The version ID is the value at the end of the Amazon Resource Name (ARN) assigned to the extension version when it is registered
--cli-input-json <string>Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally
--generate-cli-skeleton <string>Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value ``input``, prints a sample input JSON that can be used as an argument for ``--cli-input-json``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command