{-# 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.Glue.Types.AggregateOperation -- 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.Glue.Types.AggregateOperation where import qualified Amazonka.Core as Core import qualified Amazonka.Core.Lens.Internal as Lens import qualified Amazonka.Data as Data import Amazonka.Glue.Types.AggFunction import qualified Amazonka.Prelude as Prelude -- | Specifies the set of parameters needed to perform aggregation in the -- aggregate transform. -- -- /See:/ 'newAggregateOperation' smart constructor. data AggregateOperation = AggregateOperation' { -- | Specifies the column on the data set on which the aggregation function -- will be applied. column :: [Prelude.Text], -- | Specifies the aggregation function to apply. -- -- Possible aggregation functions include: avg countDistinct, count, first, -- last, kurtosis, max, min, skewness, stddev_samp, stddev_pop, sum, -- sumDistinct, var_samp, var_pop aggFunc :: AggFunction } deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic) -- | -- Create a value of 'AggregateOperation' with all optional fields omitted. -- -- Use or to modify other optional fields. -- -- The following record fields are available, with the corresponding lenses provided -- for backwards compatibility: -- -- 'column', 'aggregateOperation_column' - Specifies the column on the data set on which the aggregation function -- will be applied. -- -- 'aggFunc', 'aggregateOperation_aggFunc' - Specifies the aggregation function to apply. -- -- Possible aggregation functions include: avg countDistinct, count, first, -- last, kurtosis, max, min, skewness, stddev_samp, stddev_pop, sum, -- sumDistinct, var_samp, var_pop newAggregateOperation :: -- | 'aggFunc' AggFunction -> AggregateOperation newAggregateOperation pAggFunc_ = AggregateOperation' { column = Prelude.mempty, aggFunc = pAggFunc_ } -- | Specifies the column on the data set on which the aggregation function -- will be applied. aggregateOperation_column :: Lens.Lens' AggregateOperation [Prelude.Text] aggregateOperation_column = Lens.lens (\AggregateOperation' {column} -> column) (\s@AggregateOperation' {} a -> s {column = a} :: AggregateOperation) Prelude.. Lens.coerced -- | Specifies the aggregation function to apply. -- -- Possible aggregation functions include: avg countDistinct, count, first, -- last, kurtosis, max, min, skewness, stddev_samp, stddev_pop, sum, -- sumDistinct, var_samp, var_pop aggregateOperation_aggFunc :: Lens.Lens' AggregateOperation AggFunction aggregateOperation_aggFunc = Lens.lens (\AggregateOperation' {aggFunc} -> aggFunc) (\s@AggregateOperation' {} a -> s {aggFunc = a} :: AggregateOperation) instance Data.FromJSON AggregateOperation where parseJSON = Data.withObject "AggregateOperation" ( \x -> AggregateOperation' Prelude.<$> (x Data..:? "Column" Data..!= Prelude.mempty) Prelude.<*> (x Data..: "AggFunc") ) instance Prelude.Hashable AggregateOperation where hashWithSalt _salt AggregateOperation' {..} = _salt `Prelude.hashWithSalt` column `Prelude.hashWithSalt` aggFunc instance Prelude.NFData AggregateOperation where rnf AggregateOperation' {..} = Prelude.rnf column `Prelude.seq` Prelude.rnf aggFunc instance Data.ToJSON AggregateOperation where toJSON AggregateOperation' {..} = Data.object ( Prelude.catMaybes [ Prelude.Just ("Column" Data..= column), Prelude.Just ("AggFunc" Data..= aggFunc) ] )