Struct CreateMetricSetInput 

#[non_exhaustive]
pub struct CreateMetricSetInput {
    pub anomaly_detector_arn: Option<String>,
    pub metric_set_name: Option<String>,
    pub metric_set_description: Option<String>,
    pub metric_list: Option<Vec<Metric>>,
    pub offset: Option<i32>,
    pub timestamp_column: Option<TimestampColumn>,
    pub dimension_list: Option<Vec<String>>,
    pub metric_set_frequency: Option<Frequency>,
    pub metric_source: Option<MetricSource>,
    pub timezone: Option<String>,
    pub tags: Option<HashMap<String, String>>,
    pub dimension_filter_list: Option<Vec<MetricSetDimensionFilter>>,
}

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.

anomaly_detector_arn: Option<String>

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

metric_set_name: Option<String>

The name of the dataset.

metric_set_description: Option<String>

A description of the dataset you are creating.

metric_list: Option<Vec<Metric>>

A list of metrics that the dataset will contain.

offset: 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.

timestamp_column: Option<TimestampColumn>

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

dimension_list: Option<Vec<String>>

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

metric_set_frequency: Option<Frequency>

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

metric_source: Option<MetricSource>

Contains information about how the source data should be interpreted.

timezone: Option<String>

The time zone in which your source data was recorded.

tags: Option<HashMap<String, String>>

A list of tags to apply to the dataset.

dimension_filter_list: Option<Vec<MetricSetDimensionFilter>>

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

Implementations

impl CreateMetricSetInput

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

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

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

The name of the dataset.

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

A description of the dataset you are creating.

pub fn metric_list(&self) -> &[Metric]

A list of metrics that the dataset will contain.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .metric_list.is_none().

pub fn 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.

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

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

pub fn dimension_list(&self) -> &[String]

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .dimension_list.is_none().

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

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

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

Contains information about how the source data should be interpreted.

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

The time zone in which your source data was recorded.

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

A list of tags to apply to the dataset.

pub fn dimension_filter_list(&self) -> &[MetricSetDimensionFilter]

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

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .dimension_filter_list.is_none().

impl CreateMetricSetInput

pub fn builder() -> CreateMetricSetInputBuilder

Creates a new builder-style object to manufacture CreateMetricSetInput.

Trait Implementations

impl Clone for CreateMetricSetInput

fn clone(&self) -> CreateMetricSetInput

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for CreateMetricSetInput

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

Formats the value using the given formatter.

impl PartialEq for CreateMetricSetInput

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

Tests for self and other values to be equal, and is used by ==.

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

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

impl StructuralPartialEq for CreateMetricSetInput