Struct aws_sdk_sagemaker::client::fluent_builders::AddAssociation

pub struct AddAssociation<C = DynConnector, M = AwsMiddleware, R = Standard> { /* fields omitted */ }

Fluent builder constructing a request to AddAssociation.

Creates an association between the source and the destination. A source can be associated with multiple destinations, and a destination can be associated with multiple sources. An association is a lineage tracking entity. For more information, see Amazon SageMaker ML Lineage Tracking.

Implementations

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

pub async fn send(
    self
) -> Result<AddAssociationOutput, SdkError<AddAssociationError>> where
    R::Policy: SmithyRetryPolicy<AddAssociationInputOperationOutputAlias, AddAssociationOutput, AddAssociationError, AddAssociationInputOperationRetryAlias>, 

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 source_arn(self, inp: impl Into<String>) -> Self

The ARN of the source.

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

The ARN of the source.

pub fn destination_arn(self, inp: impl Into<String>) -> Self

The Amazon Resource Name (ARN) of the destination.

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

The Amazon Resource Name (ARN) of the destination.

pub fn association_type(self, inp: AssociationEdgeType) -> Self

The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions on their use.

• ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, the training data contributed to the training job.

• AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with a model deployment.

• DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input for a processing job is derived from the original inputs.

• Produced - The source generated the destination. For example, a training job produced a model artifact.

pub fn set_association_type(self, input: Option<AssociationEdgeType>) -> Self

The type of association. The following are suggested uses for each type. Amazon SageMaker places no restrictions on their use.

• ContributedTo - The source contributed to the destination or had a part in enabling the destination. For example, the training data contributed to the training job.

• AssociatedWith - The source is connected to the destination. For example, an approval workflow is associated with a model deployment.

• DerivedFrom - The destination is a modification of the source. For example, a digest output of a channel input for a processing job is derived from the original inputs.

• Produced - The source generated the destination. For example, a training job produced a model artifact.

Trait Implementations

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

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

Formats the value using the given formatter.