[ aws . machinelearning ]
delete-data-source¶
Description¶
Assigns the DELETED status to a DataSource , rendering it unusable.
After using the DeleteDataSource operation, you can use the GetDataSource operation to verify that the status of the DataSource changed to DELETED.
Caution: The results of the DeleteDataSource operation are irreversible.
See also: AWS API Documentation
See ‘aws help’ for descriptions of global parameters.
Synopsis¶
delete-data-source
--data-source-id <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--cli-auto-prompt <value>]
Options¶
--data-source-id (string)
A user-supplied ID that uniquely identifies the
DataSource.
--cli-input-json | --cli-input-yaml (string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those 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. This may not be specified along with --cli-input-yaml.
--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. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.
--cli-auto-prompt (boolean)
Automatically prompt for CLI input parameters.
See ‘aws help’ for descriptions of global parameters.
Output¶
DataSourceId -> (string)
A user-supplied ID that uniquely identifies the
DataSource. This value should be identical to the value of theDataSourceIDin the request.