Struct PerformanceInsightsMetricsDetail

#[non_exhaustive]
pub struct PerformanceInsightsMetricsDetail {
    pub metric_display_name: Option<String>,
    pub unit: Option<String>,
    pub metric_query: Option<PerformanceInsightsMetricQuery>,
    pub reference_data: Option<Vec<PerformanceInsightsReferenceData>>,
    pub stats_at_anomaly: Option<Vec<PerformanceInsightsStat>>,
    pub stats_at_baseline: Option<Vec<PerformanceInsightsStat>>,
}

Details about Performance Insights metrics.

Amazon RDS Performance Insights enables you to monitor and explore different dimensions of database load based on data captured from a running DB instance. DB load is measured as average active sessions. Performance Insights provides the data to API consumers as a two-dimensional time-series dataset. The time dimension provides DB load data for each time point in the queried time range. Each time point decomposes overall load in relation to the requested dimensions, measured at that time point. Examples include SQL, Wait event, User, and Host.

• To learn more about Performance Insights and Amazon Aurora DB instances, go to the Amazon Aurora User Guide.

• To learn more about Performance Insights and Amazon RDS DB instances, go to the Amazon RDS User Guide.

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.

metric_display_name: Option<String>

The name used for a specific Performance Insights metric.

unit: Option<String>

The unit of measure for a metric. For example, a session or a process.

metric_query: Option<PerformanceInsightsMetricQuery>

A single query to be processed for the metric. For more information, see PerformanceInsightsMetricQuery .

reference_data: Option<Vec<PerformanceInsightsReferenceData>>

For more information, see PerformanceInsightsReferenceData .

stats_at_anomaly: Option<Vec<PerformanceInsightsStat>>

The metric statistics during the anomalous period detected by DevOps Guru;

stats_at_baseline: Option<Vec<PerformanceInsightsStat>>

Typical metric statistics that are not considered anomalous. When DevOps Guru analyzes metrics, it compares them to StatsAtBaseline to help determine if they are anomalous.

Implementations

impl PerformanceInsightsMetricsDetail

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

The name used for a specific Performance Insights metric.

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

The unit of measure for a metric. For example, a session or a process.

pub fn metric_query(&self) -> Option<&PerformanceInsightsMetricQuery>

A single query to be processed for the metric. For more information, see PerformanceInsightsMetricQuery .

pub fn reference_data(&self) -> &[PerformanceInsightsReferenceData]

For more information, see PerformanceInsightsReferenceData .

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

pub fn stats_at_anomaly(&self) -> &[PerformanceInsightsStat]

The metric statistics during the anomalous period detected by DevOps Guru;

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

pub fn stats_at_baseline(&self) -> &[PerformanceInsightsStat]

Typical metric statistics that are not considered anomalous. When DevOps Guru analyzes metrics, it compares them to StatsAtBaseline to help determine if they are anomalous.

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

impl PerformanceInsightsMetricsDetail

pub fn builder() -> PerformanceInsightsMetricsDetailBuilder

Creates a new builder-style object to manufacture PerformanceInsightsMetricsDetail.

Trait Implementations

impl Clone for PerformanceInsightsMetricsDetail

fn clone(&self) -> PerformanceInsightsMetricsDetail

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PerformanceInsightsMetricsDetail

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

Formats the value using the given formatter.

impl PartialEq for PerformanceInsightsMetricsDetail

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

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

const 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 PerformanceInsightsMetricsDetail