Struct aws_sdk_cloudwatch::output::GetInsightRuleReportOutput

#[non_exhaustive]
pub struct GetInsightRuleReportOutput {
    pub key_labels: Option<Vec<String>>,
    pub aggregation_statistic: Option<String>,
    pub aggregate_value: Option<f64>,
    pub approximate_unique_count: Option<i64>,
    pub contributors: Option<Vec<InsightRuleContributor>>,
    pub metric_datapoints: Option<Vec<InsightRuleMetricDatapoint>>,
}

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.

key_labels: Option<Vec<String>>

An array of the strings used as the keys for this rule. The keys are the dimensions used to classify contributors. If the rule contains more than one key, then each unique combination of values for the keys is counted as a unique contributor.

aggregation_statistic: Option<String>

Specifies whether this rule aggregates contributor data by COUNT or SUM.

aggregate_value: Option<f64>

The sum of the values from all individual contributors that match the rule.

approximate_unique_count: Option<i64>

An approximate count of the unique contributors found by this rule in this time period.

contributors: Option<Vec<InsightRuleContributor>>

An array of the unique contributors found by this rule in this time period. If the rule contains multiple keys, each combination of values for the keys counts as a unique contributor.

metric_datapoints: Option<Vec<InsightRuleMetricDatapoint>>

A time series of metric data points that matches the time period in the rule request.

Implementations

impl GetInsightRuleReportOutput

pub fn key_labels(&self) -> Option<&[String]>

An array of the strings used as the keys for this rule. The keys are the dimensions used to classify contributors. If the rule contains more than one key, then each unique combination of values for the keys is counted as a unique contributor.

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

Specifies whether this rule aggregates contributor data by COUNT or SUM.

pub fn aggregate_value(&self) -> Option<f64>

The sum of the values from all individual contributors that match the rule.

pub fn approximate_unique_count(&self) -> Option<i64>

An approximate count of the unique contributors found by this rule in this time period.

pub fn contributors(&self) -> Option<&[InsightRuleContributor]>

An array of the unique contributors found by this rule in this time period. If the rule contains multiple keys, each combination of values for the keys counts as a unique contributor.

pub fn metric_datapoints(&self) -> Option<&[InsightRuleMetricDatapoint]>

A time series of metric data points that matches the time period in the rule request.

impl GetInsightRuleReportOutput

pub fn builder() -> Builder

Creates a new builder-style object to manufacture GetInsightRuleReportOutput

Trait Implementations

impl Clone for GetInsightRuleReportOutput

fn clone(&self) -> GetInsightRuleReportOutput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for GetInsightRuleReportOutput

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

Formats the value using the given formatter.

impl PartialEq<GetInsightRuleReportOutput> for GetInsightRuleReportOutput

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

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

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

This method tests for !=.

impl StructuralPartialEq for GetInsightRuleReportOutput