Struct aws_sdk_machinelearning::output::CreateDataSourceFromS3Output

#[non_exhaustive]
pub struct CreateDataSourceFromS3Output {
    pub data_source_id: Option<String>,
}

Represents the output of a CreateDataSourceFromS3 operation, and is an acknowledgement that Amazon ML received the request.

The CreateDataSourceFromS3 operation is asynchronous. You can poll for updates by using the GetBatchPrediction operation and checking the Status parameter.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

data_source_id: Option<String>

A user-supplied ID that uniquely identifies the DataSource. This value should be identical to the value of the DataSourceID in the request.

Implementations

impl CreateDataSourceFromS3Output

pub fn data_source_id(&self) -> Option<&str>

A user-supplied ID that uniquely identifies the DataSource. This value should be identical to the value of the DataSourceID in the request.

impl CreateDataSourceFromS3Output

pub fn builder() -> Builder

Creates a new builder-style object to manufacture CreateDataSourceFromS3Output

Trait Implementations

impl Clone for CreateDataSourceFromS3Output

fn clone(&self) -> CreateDataSourceFromS3Output

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateDataSourceFromS3Output

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

Formats the value using the given formatter.

impl PartialEq<CreateDataSourceFromS3Output> for CreateDataSourceFromS3Output

fn eq(&self, other: &CreateDataSourceFromS3Output) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &CreateDataSourceFromS3Output) -> bool

This method tests for !=.

impl StructuralPartialEq for CreateDataSourceFromS3Output