Struct aws_sdk_datapipeline::client::fluent_builders::CreatePipeline

pub struct CreatePipeline<C = DynConnector, M = DefaultMiddleware, R = Standard> { /* private fields */ }

Fluent builder constructing a request to CreatePipeline.

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

POST / HTTP/1.1 Content-Type: application/x-amz-json-1.1 X-Amz-Target: DataPipeline.CreatePipeline Content-Length: 91 Host: datapipeline.us-east-1.amazonaws.com X-Amz-Date: Mon, 12 Nov 2012 17:49:52 GMT Authorization: AuthParams {"name": "myPipeline", "uniqueId": "123456789", "description": "This is my first pipeline"} HTTP/1.1 200 x-amzn-RequestId: b16911ce-0774-11e2-af6f-6bc7a6be60d9 Content-Type: application/x-amz-json-1.1 Content-Length: 40 Date: Mon, 12 Nov 2012 17:50:53 GMT {"pipelineId": "df-06372391ZG65EXAMPLE"}

Implementations

impl<C, M, R> CreatePipeline<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub async fn send(
    self
) -> Result<CreatePipelineOutput, SdkError<CreatePipelineError>> where
    R::Policy: SmithyRetryPolicy<CreatePipelineInputOperationOutputAlias, CreatePipelineOutput, CreatePipelineError, CreatePipelineInputOperationRetryAlias>, 

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn name(self, input: impl Into<String>) -> Self

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.

pub fn set_name(self, input: Option<String>) -> Self

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.

pub fn unique_id(self, input: impl Into<String>) -> Self

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.

pub fn set_unique_id(self, input: Option<String>) -> Self

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.

pub fn description(self, input: impl Into<String>) -> Self

The description for the pipeline.

pub fn set_description(self, input: Option<String>) -> Self

The description for the pipeline.

pub fn tags(self, input: Tag) -> Self

Appends an item to tags.

To override the contents of this collection use set_tags.

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.

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

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.

Trait Implementations

impl<C: Clone, M: Clone, R: Clone> Clone for CreatePipeline<C, M, R>

fn clone(&self) -> CreatePipeline<C, M, R>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<C: Debug, M: Debug, R: Debug> Debug for CreatePipeline<C, M, R>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.