Struct aws_sdk_lookoutvision::input::DeleteDatasetInput

#[non_exhaustive]
pub struct DeleteDatasetInput {
    pub project_name: Option<String>,
    pub dataset_type: Option<String>,
    pub client_token: Option<String>,
}

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.

project_name: Option<String>

The name of the project that contains the dataset that you want to delete.

dataset_type: Option<String>

The type of the dataset to delete. Specify train to delete the training dataset. Specify test to delete the test dataset. To delete the dataset in a single dataset project, specify train.

client_token: Option<String>

ClientToken is an idempotency token that ensures a call to DeleteDataset completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from DeleteDataset. In this case, safely retry your call to DeleteDataset by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple deletetion requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to DeleteDataset. An idempotency token is active for 8 hours.

Implementations

impl DeleteDatasetInput

pub async fn make_operation(
    self,
    _config: &Config
) -> Result<Operation<DeleteDataset, AwsErrorRetryPolicy>, BuildError>

Consumes the builder and constructs an Operation<DeleteDataset>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture DeleteDatasetInput

impl DeleteDatasetInput

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

The name of the project that contains the dataset that you want to delete.

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

The type of the dataset to delete. Specify train to delete the training dataset. Specify test to delete the test dataset. To delete the dataset in a single dataset project, specify train.

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

ClientToken is an idempotency token that ensures a call to DeleteDataset completes only once. You choose the value to pass. For example, An issue might prevent you from getting a response from DeleteDataset. In this case, safely retry your call to DeleteDataset by using the same ClientToken parameter value.

If you don't supply a value for ClientToken, the AWS SDK you are using inserts a value for you. This prevents retries after a network error from making multiple deletetion requests. You'll need to provide your own value for other use cases.

An error occurs if the other input parameters are not the same as in the first request. Using a different value for ClientToken is considered a new call to DeleteDataset. An idempotency token is active for 8 hours.

Trait Implementations

impl Clone for DeleteDatasetInput

fn clone(&self) -> DeleteDatasetInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DeleteDatasetInput

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

Formats the value using the given formatter.

impl PartialEq<DeleteDatasetInput> for DeleteDatasetInput

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

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

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

This method tests for !=.

impl StructuralPartialEq for DeleteDatasetInput