Struct PerformanceInsightsMetricQuery 

#[non_exhaustive]
pub struct PerformanceInsightsMetricQuery {
    pub group_by: Option<PerformanceInsightsMetricDimensionGroup>,
    pub metric: Option<String>,
}

A single Performance Insights metric query to process. You must provide the metric to the query. If other parameters aren't specified, Performance Insights returns all data points for the specified metric. Optionally, you can request the data points to be aggregated by dimension group (GroupBy) and return only those data points that match your criteria (Filter).

Constraints:

• Must be a valid Performance Insights query.

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.

group_by: Option<PerformanceInsightsMetricDimensionGroup>

A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights will return all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension.

metric: Option<String>

The name of a Performance Insights metric to be measured.

Valid Values:

• db.load.avg - A scaled representation of the number of active sessions for the database engine.

• db.sampledload.avg - The raw number of active sessions for the database engine.

• The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.

If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.

Implementations

impl PerformanceInsightsMetricQuery

pub fn group_by(&self) -> Option<&PerformanceInsightsMetricDimensionGroup>

A specification for how to aggregate the data points from a query result. You must specify a valid dimension group. Performance Insights will return all of the dimensions within that group, unless you provide the names of specific dimensions within that group. You can also request that Performance Insights return a limited number of values for a dimension.

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

The name of a Performance Insights metric to be measured.

Valid Values:

• db.load.avg - A scaled representation of the number of active sessions for the database engine.

• db.sampledload.avg - The raw number of active sessions for the database engine.

• The counter metrics listed in Performance Insights operating system counters in the Amazon Aurora User Guide.

If the number of active sessions is less than an internal Performance Insights threshold, db.load.avg and db.sampledload.avg are the same value. If the number of active sessions is greater than the internal threshold, Performance Insights samples the active sessions, with db.load.avg showing the scaled values, db.sampledload.avg showing the raw values, and db.sampledload.avg less than db.load.avg. For most use cases, you can query db.load.avg only.

impl PerformanceInsightsMetricQuery

pub fn builder() -> PerformanceInsightsMetricQueryBuilder

Creates a new builder-style object to manufacture PerformanceInsightsMetricQuery.

Trait Implementations

impl Clone for PerformanceInsightsMetricQuery

fn clone(&self) -> PerformanceInsightsMetricQuery

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for PerformanceInsightsMetricQuery

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

Formats the value using the given formatter.

impl PartialEq for PerformanceInsightsMetricQuery

fn eq(&self, other: &PerformanceInsightsMetricQuery) -> 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 PerformanceInsightsMetricQuery