aws datapipeline create-pipeline

Creates a new, empty pipeline. Use PutPipelineDefinition to populate the pipeline

Options

NameDescription
--name <string>The name for the pipeline. You can use the same name for multiple pipelines associated with your AWS account, because AWS Data Pipeline assigns each pipeline a unique pipeline identifier
--unique-id <string>A unique identifier. This identifier is not the same as the pipeline identifier assigned by AWS Data Pipeline. You are responsible for defining the format and ensuring the uniqueness of this identifier. You use this parameter to ensure idempotency during repeated calls to CreatePipeline. For example, if the first call to CreatePipeline does not succeed, you can pass in the same unique identifier and pipeline name combination on a subsequent call to CreatePipeline. CreatePipeline ensures that if a pipeline already exists with the same name and unique identifier, a new pipeline is not created. Instead, you'll receive the pipeline identifier from the previous attempt. The uniqueness of the name and unique identifier combination is scoped to the AWS account or IAM user credentials
--description <string>The description for the pipeline
--tags <list>A list of tags to associate with the pipeline at creation. Tags let you control access to pipelines. For more information, see Controlling User Access to Pipelines in the AWS Data Pipeline Developer Guide
--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