Struct aws_sdk_pi::types::MetricQuery

#[non_exhaustive]
pub struct MetricQuery {
    pub metric: String,
    pub group_by: Option<DimensionGroup>,
    pub filter: Option<HashMap<String, String>>,
}

A single query to be processed. You must provide the metric to query and append an aggregate function to the metric. For example, to find the average for the metric db.load you must use db.load.avg. Valid values for aggregate functions include .avg, .min, .max, and .sum. If no other parameters are specified, Performance Insights returns all data points for the specified metric. Optionally, you can request that the data points be aggregated by dimension group (GroupBy), and return only those data points that match your criteria (Filter).

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: String

The name of a Performance Insights metric to be measured.

Valid values for Metric are:

• 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.

• The counter metrics listed in Performance Insights operating system counters in the Amazon RDS 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.

group_by: Option<DimensionGroup>

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.

filter: Option<HashMap<String, String>>

One or more filters to apply in the request. Restrictions:

• Any number of filters by the same dimension, as specified in the GroupBy parameter.

• A single filter for any other dimension in this dimension group.

Implementations

impl MetricQuery

pub fn metric(&self) -> &str

The name of a Performance Insights metric to be measured.

Valid values for Metric are:

• 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.

• The counter metrics listed in Performance Insights operating system counters in the Amazon RDS 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.

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

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 filter(&self) -> Option<&HashMap<String, String>>

One or more filters to apply in the request. Restrictions:

• Any number of filters by the same dimension, as specified in the GroupBy parameter.

• A single filter for any other dimension in this dimension group.

impl MetricQuery

pub fn builder() -> MetricQueryBuilder

Creates a new builder-style object to manufacture MetricQuery.

Trait Implementations

impl Clone for MetricQuery

fn clone(&self) -> MetricQuery

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for MetricQuery

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

Formats the value using the given formatter.

impl PartialEq for MetricQuery

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

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

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

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

impl StructuralPartialEq for MetricQuery