Struct aws_sdk_quicksight::types::NumericalAggregationFunction

#[non_exhaustive]
pub struct NumericalAggregationFunction {
    pub simple_numerical_aggregation: Option<SimpleNumericalAggregationFunction>,
    pub percentile_aggregation: Option<PercentileAggregation>,
}

Aggregation for numerical values.

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.

simple_numerical_aggregation: Option<SimpleNumericalAggregationFunction>

Built-in aggregation functions for numerical values.

• SUM: The sum of a dimension or measure.

• AVERAGE: The average of a dimension or measure.

• MIN: The minimum value of a dimension or measure.

• MAX: The maximum value of a dimension or measure.

• COUNT: The count of a dimension or measure.

• DISTINCT_COUNT: The count of distinct values in a dimension or measure.

• VAR: The variance of a dimension or measure.

• VARP: The partitioned variance of a dimension or measure.

• STDEV: The standard deviation of a dimension or measure.

• STDEVP: The partitioned standard deviation of a dimension or measure.

• MEDIAN: The median value of a dimension or measure.

percentile_aggregation: Option<PercentileAggregation>

An aggregation based on the percentile of values in a dimension or measure.

Implementations

impl NumericalAggregationFunction

pub fn simple_numerical_aggregation( &self ) -> Option<&SimpleNumericalAggregationFunction>

Built-in aggregation functions for numerical values.

• SUM: The sum of a dimension or measure.

• AVERAGE: The average of a dimension or measure.

• MIN: The minimum value of a dimension or measure.

• MAX: The maximum value of a dimension or measure.

• COUNT: The count of a dimension or measure.

• DISTINCT_COUNT: The count of distinct values in a dimension or measure.

• VAR: The variance of a dimension or measure.

• VARP: The partitioned variance of a dimension or measure.

• STDEV: The standard deviation of a dimension or measure.

• STDEVP: The partitioned standard deviation of a dimension or measure.

• MEDIAN: The median value of a dimension or measure.

pub fn percentile_aggregation(&self) -> Option<&PercentileAggregation>

An aggregation based on the percentile of values in a dimension or measure.

impl NumericalAggregationFunction

pub fn builder() -> NumericalAggregationFunctionBuilder

Creates a new builder-style object to manufacture NumericalAggregationFunction.

Trait Implementations

impl Clone for NumericalAggregationFunction

fn clone(&self) -> NumericalAggregationFunction

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for NumericalAggregationFunction

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

Formats the value using the given formatter.

impl PartialEq<NumericalAggregationFunction> for NumericalAggregationFunction

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