Struct aws_sdk_machinelearning::output::CreateDataSourceFromRedshiftOutput

#[non_exhaustive]
pub struct CreateDataSourceFromRedshiftOutput { /* private fields */ }

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

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

Implementations

impl CreateDataSourceFromRedshiftOutput

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 CreateDataSourceFromRedshiftOutput

pub fn builder() -> Builder

Creates a new builder-style object to manufacture CreateDataSourceFromRedshiftOutput.

Trait Implementations

impl Clone for CreateDataSourceFromRedshiftOutput

fn clone(&self) -> CreateDataSourceFromRedshiftOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateDataSourceFromRedshiftOutput

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

Formats the value using the given formatter.

impl PartialEq<CreateDataSourceFromRedshiftOutput> for CreateDataSourceFromRedshiftOutput

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

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

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

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for CreateDataSourceFromRedshiftOutput