Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.IoTSiteWise.Types.Aggregates

Description

Synopsis

data Aggregates = Aggregates' {
- average :: Maybe Double
- count :: Maybe Double
- maximum :: Maybe Double
- minimum :: Maybe Double
- standardDeviation :: Maybe Double
- sum :: Maybe Double
}
newAggregates :: Aggregates
aggregates_average :: Lens' Aggregates (Maybe Double)
aggregates_count :: Lens' Aggregates (Maybe Double)
aggregates_maximum :: Lens' Aggregates (Maybe Double)
aggregates_minimum :: Lens' Aggregates (Maybe Double)
aggregates_standardDeviation :: Lens' Aggregates (Maybe Double)
aggregates_sum :: Lens' Aggregates (Maybe Double)

Documentation

data Aggregates Source #

Contains the (pre-calculated) aggregate values for an asset property.

See: newAggregates smart constructor.

Constructors

Aggregates'

Fields

average :: Maybe Double
The average (mean) value of the time series over a time interval window.
count :: Maybe Double
The count of data points in the time series over a time interval window.
maximum :: Maybe Double
The maximum value of the time series over a time interval window.
minimum :: Maybe Double
The minimum value of the time series over a time interval window.
standardDeviation :: Maybe Double
The standard deviation of the time series over a time interval window.
sum :: Maybe Double
The sum of the time series over a time interval window.

Instances

Instances details

FromJSON Aggregates Source #
Instance details Defined in Amazonka.IoTSiteWise.Types.Aggregates Methods parseJSON :: Value -> Parser Aggregates # parseJSONList :: Value -> Parser [Aggregates] #
Generic Aggregates Source #
Instance details Defined in Amazonka.IoTSiteWise.Types.Aggregates Associated Types type Rep Aggregates :: Type -> Type # Methods from :: Aggregates -> Rep Aggregates x # to :: Rep Aggregates x -> Aggregates #
Read Aggregates Source #
Instance details Defined in Amazonka.IoTSiteWise.Types.Aggregates Methods readsPrec :: Int -> ReadS Aggregates # readList :: ReadS [Aggregates] # readPrec :: ReadPrec Aggregates # readListPrec :: ReadPrec [Aggregates] #
Show Aggregates Source #
Instance details Defined in Amazonka.IoTSiteWise.Types.Aggregates Methods showsPrec :: Int -> Aggregates -> ShowS # show :: Aggregates -> String # showList :: [Aggregates] -> ShowS #
NFData Aggregates Source #
Instance details Defined in Amazonka.IoTSiteWise.Types.Aggregates Methods rnf :: Aggregates -> () #
Eq Aggregates Source #
Instance details Defined in Amazonka.IoTSiteWise.Types.Aggregates Methods (==) :: Aggregates -> Aggregates -> Bool # (/=) :: Aggregates -> Aggregates -> Bool #
Hashable Aggregates Source #
Instance details Defined in Amazonka.IoTSiteWise.Types.Aggregates Methods hashWithSalt :: Int -> Aggregates -> Int # hash :: Aggregates -> Int #
type Rep Aggregates Source #
Instance details Defined in Amazonka.IoTSiteWise.Types.Aggregates type Rep Aggregates = D1 ('MetaData "Aggregates" "Amazonka.IoTSiteWise.Types.Aggregates" "amazonka-iotsitewise-2.0-AK8rDlpQ5oPJsrLUUxJgY" 'False) (C1 ('MetaCons "Aggregates'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "average") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "count") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: S1 ('MetaSel ('Just "maximum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :: (S1 ('MetaSel ('Just "minimum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :: (S1 ('MetaSel ('Just "standardDeviation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "sum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))))

newAggregates :: Aggregates Source #

Create a value of Aggregates 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:average:Aggregates', aggregates_average - The average (mean) value of the time series over a time interval window.

$sel:count:Aggregates', aggregates_count - The count of data points in the time series over a time interval window.

$sel:maximum:Aggregates', aggregates_maximum - The maximum value of the time series over a time interval window.

$sel:minimum:Aggregates', aggregates_minimum - The minimum value of the time series over a time interval window.

$sel:standardDeviation:Aggregates', aggregates_standardDeviation - The standard deviation of the time series over a time interval window.

$sel:sum:Aggregates', aggregates_sum - The sum of the time series over a time interval window.

aggregates_average :: Lens' Aggregates (Maybe Double) Source #

The average (mean) value of the time series over a time interval window.

aggregates_count :: Lens' Aggregates (Maybe Double) Source #

The count of data points in the time series over a time interval window.

aggregates_maximum :: Lens' Aggregates (Maybe Double) Source #

The maximum value of the time series over a time interval window.

aggregates_minimum :: Lens' Aggregates (Maybe Double) Source #

The minimum value of the time series over a time interval window.

aggregates_standardDeviation :: Lens' Aggregates (Maybe Double) Source #

The standard deviation of the time series over a time interval window.

aggregates_sum :: Lens' Aggregates (Maybe Double) Source #

The sum of the time series over a time interval window.