{-# 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.AutoScaling.Types.MetricStat -- 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.AutoScaling.Types.MetricStat where import Amazonka.AutoScaling.Types.Metric 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 -- | This structure defines the CloudWatch metric to return, along with the -- statistic, period, and unit. -- -- For more information about the CloudWatch terminology below, see -- -- in the /Amazon CloudWatch User Guide/. -- -- /See:/ 'newMetricStat' smart constructor. data MetricStat = MetricStat' { -- | The unit to use for the returned data points. For a complete list of the -- units that CloudWatch supports, see the -- -- data type in the /Amazon CloudWatch API Reference/. unit :: Prelude.Maybe Prelude.Text, -- | The CloudWatch metric to return, including the metric name, namespace, -- and dimensions. To get the exact metric name, namespace, and dimensions, -- inspect the -- -- object that is returned by a call to -- . metric :: Metric, -- | The statistic to return. It can include any CloudWatch statistic or -- extended statistic. For a list of valid values, see the table in -- -- in the /Amazon CloudWatch User Guide/. -- -- The most commonly used metrics for predictive scaling are @Average@ and -- @Sum@. stat :: Prelude.Text } deriving (Prelude.Eq, Prelude.Read, Prelude.Show, Prelude.Generic) -- | -- Create a value of 'MetricStat' 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: -- -- 'unit', 'metricStat_unit' - The unit to use for the returned data points. For a complete list of the -- units that CloudWatch supports, see the -- -- data type in the /Amazon CloudWatch API Reference/. -- -- 'metric', 'metricStat_metric' - The CloudWatch metric to return, including the metric name, namespace, -- and dimensions. To get the exact metric name, namespace, and dimensions, -- inspect the -- -- object that is returned by a call to -- . -- -- 'stat', 'metricStat_stat' - The statistic to return. It can include any CloudWatch statistic or -- extended statistic. For a list of valid values, see the table in -- -- in the /Amazon CloudWatch User Guide/. -- -- The most commonly used metrics for predictive scaling are @Average@ and -- @Sum@. newMetricStat :: -- | 'metric' Metric -> -- | 'stat' Prelude.Text -> MetricStat newMetricStat pMetric_ pStat_ = MetricStat' { unit = Prelude.Nothing, metric = pMetric_, stat = pStat_ } -- | The unit to use for the returned data points. For a complete list of the -- units that CloudWatch supports, see the -- -- data type in the /Amazon CloudWatch API Reference/. metricStat_unit :: Lens.Lens' MetricStat (Prelude.Maybe Prelude.Text) metricStat_unit = Lens.lens (\MetricStat' {unit} -> unit) (\s@MetricStat' {} a -> s {unit = a} :: MetricStat) -- | The CloudWatch metric to return, including the metric name, namespace, -- and dimensions. To get the exact metric name, namespace, and dimensions, -- inspect the -- -- object that is returned by a call to -- . metricStat_metric :: Lens.Lens' MetricStat Metric metricStat_metric = Lens.lens (\MetricStat' {metric} -> metric) (\s@MetricStat' {} a -> s {metric = a} :: MetricStat) -- | The statistic to return. It can include any CloudWatch statistic or -- extended statistic. For a list of valid values, see the table in -- -- in the /Amazon CloudWatch User Guide/. -- -- The most commonly used metrics for predictive scaling are @Average@ and -- @Sum@. metricStat_stat :: Lens.Lens' MetricStat Prelude.Text metricStat_stat = Lens.lens (\MetricStat' {stat} -> stat) (\s@MetricStat' {} a -> s {stat = a} :: MetricStat) instance Data.FromXML MetricStat where parseXML x = MetricStat' Prelude.<$> (x Data..@? "Unit") Prelude.<*> (x Data..@ "Metric") Prelude.<*> (x Data..@ "Stat") instance Prelude.Hashable MetricStat where hashWithSalt _salt MetricStat' {..} = _salt `Prelude.hashWithSalt` unit `Prelude.hashWithSalt` metric `Prelude.hashWithSalt` stat instance Prelude.NFData MetricStat where rnf MetricStat' {..} = Prelude.rnf unit `Prelude.seq` Prelude.rnf metric `Prelude.seq` Prelude.rnf stat instance Data.ToQuery MetricStat where toQuery MetricStat' {..} = Prelude.mconcat [ "Unit" Data.=: unit, "Metric" Data.=: metric, "Stat" Data.=: stat ]