software.amazon.awssdk.services.quicksight.model

Interface NumericalAggregationFunction.Builder

All Superinterfaces:

Buildable, CopyableBuilder<NumericalAggregationFunction.Builder,NumericalAggregationFunction>, SdkBuilder<NumericalAggregationFunction.Builder,NumericalAggregationFunction>, SdkPojo

Enclosing class:

NumericalAggregationFunction

public static interface NumericalAggregationFunction.Builder
extends SdkPojo, CopyableBuilder<NumericalAggregationFunction.Builder,NumericalAggregationFunction>

Method Summary

Modifier and Type	Method and Description
default NumericalAggregationFunction.Builder	percentileAggregation(Consumer<PercentileAggregation.Builder> percentileAggregation) An aggregation based on the percentile of values in a dimension or measure.
NumericalAggregationFunction.Builder	percentileAggregation(PercentileAggregation percentileAggregation) An aggregation based on the percentile of values in a dimension or measure.
NumericalAggregationFunction.Builder	simpleNumericalAggregation(SimpleNumericalAggregationFunction simpleNumericalAggregation) Built-in aggregation functions for numerical values.
NumericalAggregationFunction.Builder	simpleNumericalAggregation(String simpleNumericalAggregation) Built-in aggregation functions for numerical values.

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Method Detail

simpleNumericalAggregation

NumericalAggregationFunction.Builder simpleNumericalAggregation(String simpleNumericalAggregation)

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.

Parameters:

simpleNumericalAggregation - 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

SimpleNumericalAggregationFunction, SimpleNumericalAggregationFunction

simpleNumericalAggregation

NumericalAggregationFunction.Builder simpleNumericalAggregation(SimpleNumericalAggregationFunction simpleNumericalAggregation)

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.

Parameters:

simpleNumericalAggregation - 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

SimpleNumericalAggregationFunction, SimpleNumericalAggregationFunction

percentileAggregation

NumericalAggregationFunction.Builder percentileAggregation(PercentileAggregation percentileAggregation)

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

Parameters:

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

Returns:

Returns a reference to this object so that method calls can be chained together.

percentileAggregation

default NumericalAggregationFunction.Builder percentileAggregation(Consumer<PercentileAggregation.Builder> percentileAggregation)

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

This is a convenience method that creates an instance of the PercentileAggregation.Builder avoiding the need to create one manually via PercentileAggregation.builder().

When the Consumer completes, SdkBuilder.build() is called immediately and its result is passed to percentileAggregation(PercentileAggregation).

Parameters:

percentileAggregation - a consumer that will call methods on PercentileAggregation.Builder

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

percentileAggregation(PercentileAggregation)