Amazonka.Forecast.Types.SchemaAttribute

Documentation

data SchemaAttribute

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

FromJSON SchemaAttribute

Defined in Amazonka.Forecast.Types.SchemaAttribute

Methods

parseJSON :: Value -> Parser SchemaAttribute

parseJSONList :: Value -> Parser [SchemaAttribute]

ToJSON SchemaAttribute

Defined in Amazonka.Forecast.Types.SchemaAttribute

Methods

toJSON :: SchemaAttribute -> Value

toEncoding :: SchemaAttribute -> Encoding

toJSONList :: [SchemaAttribute] -> Value

toEncodingList :: [SchemaAttribute] -> Encoding

Generic SchemaAttribute

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

Defined in Amazonka.Forecast.Types.SchemaAttribute

Methods

readsPrec :: Int -> ReadS SchemaAttribute

readList :: ReadS [SchemaAttribute]

readPrec :: ReadPrec SchemaAttribute

readListPrec :: ReadPrec [SchemaAttribute]

Show SchemaAttribute

Defined in Amazonka.Forecast.Types.SchemaAttribute

Methods

showsPrec :: Int -> SchemaAttribute -> ShowS

show :: SchemaAttribute -> String

showList :: [SchemaAttribute] -> ShowS

NFData SchemaAttribute

Defined in Amazonka.Forecast.Types.SchemaAttribute

Methods

rnf :: SchemaAttribute -> ()

Eq SchemaAttribute

Defined in Amazonka.Forecast.Types.SchemaAttribute

Methods

(==) :: SchemaAttribute -> SchemaAttribute -> Bool

(/=) :: SchemaAttribute -> SchemaAttribute -> Bool

Hashable SchemaAttribute

Defined in Amazonka.Forecast.Types.SchemaAttribute

Methods

hashWithSalt :: Int -> SchemaAttribute -> Int

hash :: SchemaAttribute -> Int

type Rep SchemaAttribute

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

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)

The name of the dataset field.

schemaAttribute_attributeType :: Lens' SchemaAttribute (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).