aws_sdk_quicksight::types::builders

Struct NumericalAggregationFunctionBuilder

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#[non_exhaustive]
pub struct NumericalAggregationFunctionBuilder { /* private fields */ }
Expand description

A builder for NumericalAggregationFunction.

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impl NumericalAggregationFunctionBuilder

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pub fn simple_numerical_aggregation( self, input: SimpleNumericalAggregationFunction, ) -> Self

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 set_simple_numerical_aggregation( self, input: Option<SimpleNumericalAggregationFunction>, ) -> Self

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 get_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, input: PercentileAggregation) -> Self

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

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pub fn set_percentile_aggregation( self, input: Option<PercentileAggregation>, ) -> Self

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

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

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

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pub fn build(self) -> NumericalAggregationFunction

Consumes the builder and constructs a NumericalAggregationFunction.

Trait Implementations§

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impl Clone for NumericalAggregationFunctionBuilder

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fn clone(&self) -> NumericalAggregationFunctionBuilder

Returns a duplicate of the value. Read more
1.0.0 · Source§

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

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

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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 Default for NumericalAggregationFunctionBuilder

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fn default() -> NumericalAggregationFunctionBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for NumericalAggregationFunctionBuilder

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

Tests for self and other values to be equal, and is used by ==.
1.0.0 · Source§

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.
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impl StructuralPartialEq for NumericalAggregationFunctionBuilder

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