aws quicksight tag-resource
Assigns one or more tags (key-value pairs) to the specified QuickSight resource. Tags can help you organize and categorize your resources. You can also use them to scope user permissions, by granting a user permission to access or change only resources with certain tag values. You can use the TagResource operation with a resource that already has tags. If you specify a new tag key for the resource, this tag is appended to the list of tags associated with the resource. If you specify a tag key that is already associated with the resource, the new tag value that you specify replaces the previous value for that tag. You can associate as many as 50 tags with a resource. QuickSight supports tagging on data set, data source, dashboard, and template. Tagging for QuickSight works in a similar way to tagging for other AWS services, except for the following: You can't use tags to track AWS costs for QuickSight. This restriction is because QuickSight costs are based on users and SPICE capacity, which aren't taggable resources. QuickSight doesn't currently support the Tag Editor for AWS Resource Groups
Options
| Name | Description |
|---|---|
--resource-arn <string> | The Amazon Resource Name (ARN) of the resource that you want to tag |
--tags <list> | Contains a map of the key-value pairs for the resource tag or tags assigned to the resource |
--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 |