Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.AutoScalingPlans.Types.Datapoint

Description

Synopsis

data Datapoint = Datapoint' {
- value :: Maybe Double
- timestamp :: Maybe POSIX
}
newDatapoint :: Datapoint
datapoint_value :: Lens' Datapoint (Maybe Double)
datapoint_timestamp :: Lens' Datapoint (Maybe UTCTime)

Documentation

data Datapoint Source #

Represents a single value in the forecast data used for predictive scaling.

See: newDatapoint smart constructor.

Constructors

Datapoint'
Fields value :: Maybe Double The value of the data point. timestamp :: Maybe POSIX The time stamp for the data point in UTC format.

Instances

Instances details

Eq Datapoint Source #
Instance details Defined in Amazonka.AutoScalingPlans.Types.Datapoint Methods (==) :: Datapoint -> Datapoint -> Bool # (/=) :: Datapoint -> Datapoint -> Bool #
Read Datapoint Source #
Instance details Defined in Amazonka.AutoScalingPlans.Types.Datapoint Methods readsPrec :: Int -> ReadS Datapoint # readList :: ReadS [Datapoint] # readPrec :: ReadPrec Datapoint # readListPrec :: ReadPrec [Datapoint] #
Show Datapoint Source #
Instance details Defined in Amazonka.AutoScalingPlans.Types.Datapoint Methods showsPrec :: Int -> Datapoint -> ShowS # show :: Datapoint -> String # showList :: [Datapoint] -> ShowS #
Generic Datapoint Source #
Instance details Defined in Amazonka.AutoScalingPlans.Types.Datapoint Associated Types type Rep Datapoint :: Type -> Type # Methods from :: Datapoint -> Rep Datapoint x # to :: Rep Datapoint x -> Datapoint #
NFData Datapoint Source #
Instance details Defined in Amazonka.AutoScalingPlans.Types.Datapoint Methods rnf :: Datapoint -> () #
Hashable Datapoint Source #
Instance details Defined in Amazonka.AutoScalingPlans.Types.Datapoint Methods hashWithSalt :: Int -> Datapoint -> Int # hash :: Datapoint -> Int #
FromJSON Datapoint Source #
Instance details Defined in Amazonka.AutoScalingPlans.Types.Datapoint Methods parseJSON :: Value -> Parser Datapoint # parseJSONList :: Value -> Parser [Datapoint] #
type Rep Datapoint Source #
Instance details Defined in Amazonka.AutoScalingPlans.Types.Datapoint type Rep Datapoint = D1 ('MetaData "Datapoint" "Amazonka.AutoScalingPlans.Types.Datapoint" "libZSservicesZSamazonka-autoscaling-plansZSamazonka-autoscaling-plans" 'False) (C1 ('MetaCons "Datapoint'" 'PrefixI 'True) (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))

newDatapoint :: Datapoint Source #

Create a value of Datapoint with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:value:Datapoint', datapoint_value - The value of the data point.

$sel:timestamp:Datapoint', datapoint_timestamp - The time stamp for the data point in UTC format.

datapoint_value :: Lens' Datapoint (Maybe Double) Source #

The value of the data point.

datapoint_timestamp :: Lens' Datapoint (Maybe UTCTime) Source #

The time stamp for the data point in UTC format.