amazonka-glue-2.0: gen/Amazonka/Glue/Types/AggregateOperation.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.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 <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:
--
-- '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)
]
)