Struct aws_sdk_cloudwatch::client::fluent_builders::DeleteAnomalyDetector

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

Fluent builder constructing a request to DeleteAnomalyDetector.

Deletes the specified anomaly detection model from your account.

Implementations

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

pub async fn send(
    self
) -> Result<DeleteAnomalyDetectorOutput, SdkError<DeleteAnomalyDetectorError>> where
    R::Policy: SmithyRetryPolicy<DeleteAnomalyDetectorInputOperationOutputAlias, DeleteAnomalyDetectorOutput, DeleteAnomalyDetectorError, DeleteAnomalyDetectorInputOperationRetryAlias>, 

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 namespace(self, input: impl Into<String>) -> Self

The namespace associated with the anomaly detection model to delete.

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

The namespace associated with the anomaly detection model to delete.

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

The metric name associated with the anomaly detection model to delete.

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

The metric name associated with the anomaly detection model to delete.

pub fn dimensions(self, input: Dimension) -> Self

Appends an item to Dimensions.

To override the contents of this collection use set_dimensions.

The metric dimensions associated with the anomaly detection model to delete.

pub fn set_dimensions(self, input: Option<Vec<Dimension>>) -> Self

The metric dimensions associated with the anomaly detection model to delete.

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

The statistic associated with the anomaly detection model to delete.

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

The statistic associated with the anomaly detection model to delete.

pub fn single_metric_anomaly_detector(
    self,
    input: SingleMetricAnomalyDetector
) -> Self

A single metric anomaly detector to be deleted.

When using SingleMetricAnomalyDetector, you cannot include the following parameters in the same operation:

• Dimensions,

• MetricName

• Namespace

• Stat

• the MetricMathAnomalyDetector parameters of DeleteAnomalyDetectorInput

Instead, specify the single metric anomaly detector attributes as part of the SingleMetricAnomalyDetector property.

pub fn set_single_metric_anomaly_detector(
    self,
    input: Option<SingleMetricAnomalyDetector>
) -> Self

A single metric anomaly detector to be deleted.

When using SingleMetricAnomalyDetector, you cannot include the following parameters in the same operation:

• Dimensions,

• MetricName

• Namespace

• Stat

• the MetricMathAnomalyDetector parameters of DeleteAnomalyDetectorInput

Instead, specify the single metric anomaly detector attributes as part of the SingleMetricAnomalyDetector property.

pub fn metric_math_anomaly_detector(
    self,
    input: MetricMathAnomalyDetector
) -> Self

The metric math anomaly detector to be deleted.

When using MetricMathAnomalyDetector, you cannot include following parameters in the same operation:

• Dimensions,

• MetricName

• Namespace

• Stat

• the SingleMetricAnomalyDetector parameters of DeleteAnomalyDetectorInput

Instead, specify the metric math anomaly detector attributes as part of the MetricMathAnomalyDetector property.

pub fn set_metric_math_anomaly_detector(
    self,
    input: Option<MetricMathAnomalyDetector>
) -> Self

The metric math anomaly detector to be deleted.

When using MetricMathAnomalyDetector, you cannot include following parameters in the same operation:

• Dimensions,

• MetricName

• Namespace

• Stat

• the SingleMetricAnomalyDetector parameters of DeleteAnomalyDetectorInput

Instead, specify the metric math anomaly detector attributes as part of the MetricMathAnomalyDetector property.

Trait Implementations

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

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

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

Formats the value using the given formatter.