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.Forecast.Types.SchemaAttribute

Description

Documentation

data SchemaAttribute Source #

An attribute of a schema, which defines a dataset field. A schema attribute is required for every field in a dataset. The Schema object contains an array of SchemaAttribute objects.

See: newSchemaAttribute smart constructor.

Constructors

SchemaAttribute'
Fields attributeName :: Maybe Text The name of the dataset field. attributeType :: Maybe AttributeType The data type of the field. For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float).

Instances

Instances details

FromJSON SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods parseJSON :: Value -> Parser SchemaAttribute # parseJSONList :: Value -> Parser [SchemaAttribute] #
ToJSON SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods toJSON :: SchemaAttribute -> Value # toEncoding :: SchemaAttribute -> Encoding # toJSONList :: [SchemaAttribute] -> Value # toEncodingList :: [SchemaAttribute] -> Encoding #
Generic SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Associated Types type Rep SchemaAttribute :: Type -> Type # Methods from :: SchemaAttribute -> Rep SchemaAttribute x # to :: Rep SchemaAttribute x -> SchemaAttribute #
Read SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods readsPrec :: Int -> ReadS SchemaAttribute # readList :: ReadS [SchemaAttribute] # readPrec :: ReadPrec SchemaAttribute # readListPrec :: ReadPrec [SchemaAttribute] #
Show SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods showsPrec :: Int -> SchemaAttribute -> ShowS # show :: SchemaAttribute -> String # showList :: [SchemaAttribute] -> ShowS #
NFData SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods rnf :: SchemaAttribute -> () #
Eq SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods (==) :: SchemaAttribute -> SchemaAttribute -> Bool # (/=) :: SchemaAttribute -> SchemaAttribute -> Bool #
Hashable SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute Methods hashWithSalt :: Int -> SchemaAttribute -> Int # hash :: SchemaAttribute -> Int #
type Rep SchemaAttribute Source #
Instance details Defined in Amazonka.Forecast.Types.SchemaAttribute type Rep SchemaAttribute = D1 ('MetaData "SchemaAttribute" "Amazonka.Forecast.Types.SchemaAttribute" "amazonka-forecast-2.0-HHvJwvxGrDPBJtUcnmLBqf" 'False) (C1 ('MetaCons "SchemaAttribute'" 'PrefixI 'True) (S1 ('MetaSel ('Just "attributeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "attributeType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AttributeType))))

newSchemaAttribute :: SchemaAttribute Source #

Create a value of SchemaAttribute 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:attributeName:SchemaAttribute', schemaAttribute_attributeName - The name of the dataset field.

$sel:attributeType:SchemaAttribute', schemaAttribute_attributeType - The data type of the field.

For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float).

schemaAttribute_attributeName :: Lens' SchemaAttribute (Maybe Text) Source #

The name of the dataset field.

schemaAttribute_attributeType :: Lens' SchemaAttribute (Maybe AttributeType) Source #

The data type of the field.

For a related time series dataset, other than date, item_id, and forecast dimensions attributes, all attributes should be of numerical type (integer/float).