Struct aws_sdk_quicksight::types::NumericalAggregationFunction

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

Aggregation for numerical values.

Fields (Non-exhaustive)§

This struct is marked as 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§

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impl NumericalAggregationFunction

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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.

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

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

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impl NumericalAggregationFunction

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pub fn builder() -> NumericalAggregationFunctionBuilder

Creates a new builder-style object to manufacture NumericalAggregationFunction.

Trait Implementations§

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impl Clone for NumericalAggregationFunction

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fn clone(&self) -> NumericalAggregationFunction

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for NumericalAggregationFunction

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

Formats the value using the given formatter. Read more
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impl PartialEq for NumericalAggregationFunction

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

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for NumericalAggregationFunction

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unsafe fn clone_to_uninit(&self, dst: *mut T)

🔬This is a nightly-only experimental API. (clone_to_uninit)
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