CreateMetricSetFluentBuilder

aws_sdk_lookoutmetrics::operation::create_metric_set::builders

Struct CreateMetricSetFluentBuilder 

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pub struct CreateMetricSetFluentBuilder { /* private fields */ }
Expand description

Fluent builder constructing a request to CreateMetricSet.

Creates a dataset.

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impl CreateMetricSetFluentBuilder

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pub fn as_input(&self) -> &CreateMetricSetInputBuilder

Access the CreateMetricSet as a reference.

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pub async fn send( self, ) -> Result<CreateMetricSetOutput, SdkError<CreateMetricSetError, HttpResponse>>

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.

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pub fn customize( self, ) -> CustomizableOperation<CreateMetricSetOutput, CreateMetricSetError, Self>

Consumes this builder, creating a customizable operation that can be modified before being sent.

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

The ARN of the anomaly detector that will use the dataset.

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

The ARN of the anomaly detector that will use the dataset.

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pub fn get_anomaly_detector_arn(&self) -> &Option<String>

The ARN of the anomaly detector that will use the dataset.

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

The name of the dataset.

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

The name of the dataset.

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pub fn get_metric_set_name(&self) -> &Option<String>

The name of the dataset.

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

A description of the dataset you are creating.

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

A description of the dataset you are creating.

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pub fn get_metric_set_description(&self) -> &Option<String>

A description of the dataset you are creating.

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pub fn metric_list(self, input: Metric) -> Self

Appends an item to MetricList.

To override the contents of this collection use set_metric_list.

A list of metrics that the dataset will contain.

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pub fn set_metric_list(self, input: Option<Vec<Metric>>) -> Self

A list of metrics that the dataset will contain.

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pub fn get_metric_list(&self) -> &Option<Vec<Metric>>

A list of metrics that the dataset will contain.

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pub fn offset(self, input: i32) -> Self

After an interval ends, the amount of seconds that the detector waits before importing data. Offset is only supported for S3, Redshift, Athena and datasources.

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pub fn set_offset(self, input: Option<i32>) -> Self

After an interval ends, the amount of seconds that the detector waits before importing data. Offset is only supported for S3, Redshift, Athena and datasources.

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pub fn get_offset(&self) -> &Option<i32>

After an interval ends, the amount of seconds that the detector waits before importing data. Offset is only supported for S3, Redshift, Athena and datasources.

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pub fn timestamp_column(self, input: TimestampColumn) -> Self

Contains information about the column used for tracking time in your source data.

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pub fn set_timestamp_column(self, input: Option<TimestampColumn>) -> Self

Contains information about the column used for tracking time in your source data.

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pub fn get_timestamp_column(&self) -> &Option<TimestampColumn>

Contains information about the column used for tracking time in your source data.

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

Appends an item to DimensionList.

To override the contents of this collection use set_dimension_list.

A list of the fields you want to treat as dimensions.

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

A list of the fields you want to treat as dimensions.

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pub fn get_dimension_list(&self) -> &Option<Vec<String>>

A list of the fields you want to treat as dimensions.

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pub fn metric_set_frequency(self, input: Frequency) -> Self

The frequency with which the source data will be analyzed for anomalies.

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pub fn set_metric_set_frequency(self, input: Option<Frequency>) -> Self

The frequency with which the source data will be analyzed for anomalies.

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pub fn get_metric_set_frequency(&self) -> &Option<Frequency>

The frequency with which the source data will be analyzed for anomalies.

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pub fn metric_source(self, input: MetricSource) -> Self

Contains information about how the source data should be interpreted.

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pub fn set_metric_source(self, input: Option<MetricSource>) -> Self

Contains information about how the source data should be interpreted.

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pub fn get_metric_source(&self) -> &Option<MetricSource>

Contains information about how the source data should be interpreted.

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

The time zone in which your source data was recorded.

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

The time zone in which your source data was recorded.

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pub fn get_timezone(&self) -> &Option<String>

The time zone in which your source data was recorded.

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pub fn tags(self, k: impl Into<String>, v: impl Into<String>) -> Self

Adds a key-value pair to Tags.

To override the contents of this collection use set_tags.

A list of tags to apply to the dataset.

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

A list of tags to apply to the dataset.

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pub fn get_tags(&self) -> &Option<HashMap<String, String>>

A list of tags to apply to the dataset.

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pub fn dimension_filter_list(self, input: MetricSetDimensionFilter) -> Self

Appends an item to DimensionFilterList.

To override the contents of this collection use set_dimension_filter_list.

A list of filters that specify which data is kept for anomaly detection.

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pub fn set_dimension_filter_list( self, input: Option<Vec<MetricSetDimensionFilter>>, ) -> Self

A list of filters that specify which data is kept for anomaly detection.

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pub fn get_dimension_filter_list( &self, ) -> &Option<Vec<MetricSetDimensionFilter>>

A list of filters that specify which data is kept for anomaly detection.

Trait Implementations§

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impl Clone for CreateMetricSetFluentBuilder

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fn clone(&self) -> CreateMetricSetFluentBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for CreateMetricSetFluentBuilder

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

Formats the value using the given formatter. Read more

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