amazonka-quicksight-2.0: gen/Amazonka/QuickSight/Types/AggregationFunction.hs
{-# LANGUAGE DeriveGeneric #-}
{-# LANGUAGE DuplicateRecordFields #-}
{-# LANGUAGE NamedFieldPuns #-}
{-# LANGUAGE OverloadedStrings #-}
{-# LANGUAGE RecordWildCards #-}
{-# LANGUAGE StrictData #-}
{-# LANGUAGE NoImplicitPrelude #-}
{-# OPTIONS_GHC -fno-warn-unused-imports #-}
{-# OPTIONS_GHC -fno-warn-unused-matches #-}
-- Derived from AWS service descriptions, licensed under Apache 2.0.
-- |
-- Module : Amazonka.QuickSight.Types.AggregationFunction
-- Copyright : (c) 2013-2023 Brendan Hay
-- License : Mozilla Public License, v. 2.0.
-- Maintainer : Brendan Hay
-- Stability : auto-generated
-- Portability : non-portable (GHC extensions)
module Amazonka.QuickSight.Types.AggregationFunction where
import qualified Amazonka.Core as Core
import qualified Amazonka.Core.Lens.Internal as Lens
import qualified Amazonka.Data as Data
import qualified Amazonka.Prelude as Prelude
import Amazonka.QuickSight.Types.CategoricalAggregationFunction
import Amazonka.QuickSight.Types.DateAggregationFunction
import Amazonka.QuickSight.Types.NumericalAggregationFunction
-- | An aggregation function aggregates values from a dimension or measure.
--
-- This is a union type structure. For this structure to be valid, only one
-- of the attributes can be defined.
--
-- /See:/ 'newAggregationFunction' smart constructor.
data AggregationFunction = AggregationFunction'
{ -- | Aggregation for categorical values.
--
-- - @COUNT@: Aggregate by the total number of values, including
-- duplicates.
--
-- - @DISTINCT_COUNT@: Aggregate by the total number of distinct values.
categoricalAggregationFunction :: Prelude.Maybe CategoricalAggregationFunction,
-- | Aggregation for date values.
--
-- - @COUNT@: Aggregate by the total number of values, including
-- duplicates.
--
-- - @DISTINCT_COUNT@: Aggregate by the total number of distinct values.
--
-- - @MIN@: Select the smallest date value.
--
-- - @MAX@: Select the largest date value.
dateAggregationFunction :: Prelude.Maybe DateAggregationFunction,
-- | Aggregation for numerical values.
numericalAggregationFunction :: Prelude.Maybe NumericalAggregationFunction
}
deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic)
-- |
-- Create a value of 'AggregationFunction' with all optional fields omitted.
--
-- Use <https://hackage.haskell.org/package/generic-lens generic-lens> or <https://hackage.haskell.org/package/optics optics> to modify other optional fields.
--
-- The following record fields are available, with the corresponding lenses provided
-- for backwards compatibility:
--
-- 'categoricalAggregationFunction', 'aggregationFunction_categoricalAggregationFunction' - Aggregation for categorical values.
--
-- - @COUNT@: Aggregate by the total number of values, including
-- duplicates.
--
-- - @DISTINCT_COUNT@: Aggregate by the total number of distinct values.
--
-- 'dateAggregationFunction', 'aggregationFunction_dateAggregationFunction' - Aggregation for date values.
--
-- - @COUNT@: Aggregate by the total number of values, including
-- duplicates.
--
-- - @DISTINCT_COUNT@: Aggregate by the total number of distinct values.
--
-- - @MIN@: Select the smallest date value.
--
-- - @MAX@: Select the largest date value.
--
-- 'numericalAggregationFunction', 'aggregationFunction_numericalAggregationFunction' - Aggregation for numerical values.
newAggregationFunction ::
AggregationFunction
newAggregationFunction =
AggregationFunction'
{ categoricalAggregationFunction =
Prelude.Nothing,
dateAggregationFunction = Prelude.Nothing,
numericalAggregationFunction = Prelude.Nothing
}
-- | Aggregation for categorical values.
--
-- - @COUNT@: Aggregate by the total number of values, including
-- duplicates.
--
-- - @DISTINCT_COUNT@: Aggregate by the total number of distinct values.
aggregationFunction_categoricalAggregationFunction :: Lens.Lens' AggregationFunction (Prelude.Maybe CategoricalAggregationFunction)
aggregationFunction_categoricalAggregationFunction = Lens.lens (\AggregationFunction' {categoricalAggregationFunction} -> categoricalAggregationFunction) (\s@AggregationFunction' {} a -> s {categoricalAggregationFunction = a} :: AggregationFunction)
-- | Aggregation for date values.
--
-- - @COUNT@: Aggregate by the total number of values, including
-- duplicates.
--
-- - @DISTINCT_COUNT@: Aggregate by the total number of distinct values.
--
-- - @MIN@: Select the smallest date value.
--
-- - @MAX@: Select the largest date value.
aggregationFunction_dateAggregationFunction :: Lens.Lens' AggregationFunction (Prelude.Maybe DateAggregationFunction)
aggregationFunction_dateAggregationFunction = Lens.lens (\AggregationFunction' {dateAggregationFunction} -> dateAggregationFunction) (\s@AggregationFunction' {} a -> s {dateAggregationFunction = a} :: AggregationFunction)
-- | Aggregation for numerical values.
aggregationFunction_numericalAggregationFunction :: Lens.Lens' AggregationFunction (Prelude.Maybe NumericalAggregationFunction)
aggregationFunction_numericalAggregationFunction = Lens.lens (\AggregationFunction' {numericalAggregationFunction} -> numericalAggregationFunction) (\s@AggregationFunction' {} a -> s {numericalAggregationFunction = a} :: AggregationFunction)
instance Data.FromJSON AggregationFunction where
parseJSON =
Data.withObject
"AggregationFunction"
( \x ->
AggregationFunction'
Prelude.<$> (x Data..:? "CategoricalAggregationFunction")
Prelude.<*> (x Data..:? "DateAggregationFunction")
Prelude.<*> (x Data..:? "NumericalAggregationFunction")
)
instance Prelude.Hashable AggregationFunction where
hashWithSalt _salt AggregationFunction' {..} =
_salt
`Prelude.hashWithSalt` categoricalAggregationFunction
`Prelude.hashWithSalt` dateAggregationFunction
`Prelude.hashWithSalt` numericalAggregationFunction
instance Prelude.NFData AggregationFunction where
rnf AggregationFunction' {..} =
Prelude.rnf categoricalAggregationFunction
`Prelude.seq` Prelude.rnf dateAggregationFunction
`Prelude.seq` Prelude.rnf numericalAggregationFunction
instance Data.ToJSON AggregationFunction where
toJSON AggregationFunction' {..} =
Data.object
( Prelude.catMaybes
[ ("CategoricalAggregationFunction" Data..=)
Prelude.<$> categoricalAggregationFunction,
("DateAggregationFunction" Data..=)
Prelude.<$> dateAggregationFunction,
("NumericalAggregationFunction" Data..=)
Prelude.<$> numericalAggregationFunction
]
)