NumericalAggregationFunction (AWS SDK for Java

java.lang.Object
- com.amazonaws.services.quicksight.model.NumericalAggregationFunction

All Implemented Interfaces:: StructuredPojo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class NumericalAggregationFunction
extends Object
implements Serializable, Cloneable, StructuredPojo

Aggregation for numerical values.

See Also:: AWS API Documentation, Serialized Form

Constructor Summary

Constructors
Constructor and Description

NumericalAggregationFunction()

Constructors
Constructor and Description
`NumericalAggregationFunction()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`NumericalAggregationFunction`	`clone()`
`boolean`	`equals(Object obj)`
`PercentileAggregation`	`getPercentileAggregation()` An aggregation based on the percentile of values in a dimension or measure.
`String`	`getSimpleNumericalAggregation()` Built-in aggregation functions for numerical values.
`int`	`hashCode()`
`void`	`marshall(ProtocolMarshaller protocolMarshaller)` Marshalls this structured data using the given `ProtocolMarshaller`.
`void`	`setPercentileAggregation(PercentileAggregation percentileAggregation)` An aggregation based on the percentile of values in a dimension or measure.
`void`	`setSimpleNumericalAggregation(String simpleNumericalAggregation)` Built-in aggregation functions for numerical values.
`String`	`toString()` Returns a string representation of this object.
`NumericalAggregationFunction`	`withPercentileAggregation(PercentileAggregation percentileAggregation)` An aggregation based on the percentile of values in a dimension or measure.
`NumericalAggregationFunction`	`withSimpleNumericalAggregation(SimpleNumericalAggregationFunction simpleNumericalAggregation)` Built-in aggregation functions for numerical values.
`NumericalAggregationFunction`	`withSimpleNumericalAggregation(String simpleNumericalAggregation)` Built-in aggregation functions for numerical values.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - NumericalAggregationFunction
```
public NumericalAggregationFunction()
```
- Method Detail
  - setSimpleNumericalAggregation
```
public void setSimpleNumericalAggregation(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.
    See Also:
    
    SimpleNumericalAggregationFunction
  - getSimpleNumericalAggregation
```
public String getSimpleNumericalAggregation()
```
    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:
    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.
    See Also:
    
    SimpleNumericalAggregationFunction
  - withSimpleNumericalAggregation
```
public NumericalAggregationFunction withSimpleNumericalAggregation(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
  - withSimpleNumericalAggregation
```
public NumericalAggregationFunction withSimpleNumericalAggregation(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
  - setPercentileAggregation
```
public void setPercentileAggregation(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.
  - getPercentileAggregation
```
public PercentileAggregation getPercentileAggregation()
```
    An aggregation based on the percentile of values in a dimension or measure.
    
    Returns:
    
    An aggregation based on the percentile of values in a dimension or measure.
  - withPercentileAggregation
```
public NumericalAggregationFunction withPercentileAggregation(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.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public NumericalAggregationFunction clone()
```
    Overrides:
    
    clone in class Object
  - marshall
```
public void marshall(ProtocolMarshaller protocolMarshaller)
```
    Description copied from interface: StructuredPojo
    
    Marshalls this structured data using the given ProtocolMarshaller.
    
    Specified by:
    
    marshall in interface StructuredPojo
    
    Parameters:
    
    protocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.

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Class NumericalAggregationFunction

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

NumericalAggregationFunction

Method Detail

setSimpleNumericalAggregation

getSimpleNumericalAggregation

withSimpleNumericalAggregation

withSimpleNumericalAggregation

setPercentileAggregation

getPercentileAggregation

withPercentileAggregation

toString

equals

hashCode

clone

marshall