Struct aws_sdk_cloudwatch::client::fluent_builders::DeleteAnomalyDetector

pub struct DeleteAnomalyDetector { /* private fields */ }

Fluent builder constructing a request to DeleteAnomalyDetector.

Deletes the specified anomaly detection model from your account. For more information about how to delete an anomaly detection model, see Deleting an anomaly detection model in the CloudWatch User Guide.

Implementations

impl DeleteAnomalyDetector

pub async fn customize(
    self
) -> Result<CustomizableOperation<DeleteAnomalyDetector, AwsResponseRetryClassifier>, SdkError<DeleteAnomalyDetectorError>>

Consume this builder, creating a customizable operation that can be modified before being sent. The operation’s inner http::Request can be modified as well.

pub async fn send(
    self
) -> Result<DeleteAnomalyDetectorOutput, SdkError<DeleteAnomalyDetectorError>>

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

👎Deprecated: Use SingleMetricAnomalyDetector.

The namespace associated with the anomaly detection model to delete.

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

👎Deprecated: Use SingleMetricAnomalyDetector.

The namespace associated with the anomaly detection model to delete.

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

👎Deprecated: Use SingleMetricAnomalyDetector.

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

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

👎Deprecated: Use SingleMetricAnomalyDetector.

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

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

👎Deprecated: Use SingleMetricAnomalyDetector.

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

👎Deprecated: Use SingleMetricAnomalyDetector.

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

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

👎Deprecated: Use SingleMetricAnomalyDetector.

The statistic associated with the anomaly detection model to delete.

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

👎Deprecated: Use SingleMetricAnomalyDetector.

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 Clone for DeleteAnomalyDetector

fn clone(&self) -> DeleteAnomalyDetector

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DeleteAnomalyDetector

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

Formats the value using the given formatter.