aws quicksight create-data-source

Creates a data source

Options

NameDescription
--aws-account-id <string>The AWS account ID
--data-source-id <string>An ID for the data source. This ID is unique per AWS Region for each AWS account
--name <string>A display name for the data source
--type <string>The type of the data source. Currently, the supported types for this operation are: ATHENA, AURORA, AURORA_POSTGRESQL, AMAZON_ELASTICSEARCH, MARIADB, MYSQL, POSTGRESQL, PRESTO, REDSHIFT, S3, SNOWFLAKE, SPARK, SQLSERVER, TERADATA. Use ListDataSources to return a list of all data sources. AMAZON_ELASTICSEARCH is for Amazon managed Elasticsearch Service
--data-source-parameters <structure>The parameters that QuickSight uses to connect to your underlying source
--credentials <structure>The credentials QuickSight that uses to connect to your underlying source. Currently, only credentials based on user name and password are supported
--permissions <list>A list of resource permissions on the data source
--vpc-connection-properties <structure>Use this parameter only when you want QuickSight to use a VPC connection when connecting to your underlying source
--ssl-properties <structure>Secure Socket Layer (SSL) properties that apply when QuickSight connects to your underlying source
--tags <list>Contains a map of the key-value pairs for the resource tag or tags assigned to the data source
--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