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.IoTAnalytics.Types.SchemaDefinition

Description

Synopsis

data SchemaDefinition = SchemaDefinition' {
- columns :: Maybe [Column]
}
newSchemaDefinition :: SchemaDefinition
schemaDefinition_columns :: Lens' SchemaDefinition (Maybe [Column])

Documentation

data SchemaDefinition Source #

Information needed to define a schema.

See: newSchemaDefinition smart constructor.

Constructors

SchemaDefinition'
Fields columns :: Maybe [Column] Specifies one or more columns that store your data. Each schema can have up to 100 columns. Each column can have up to 100 nested types.

Instances

Instances details

FromJSON SchemaDefinition Source #
Instance details Defined in Amazonka.IoTAnalytics.Types.SchemaDefinition Methods parseJSON :: Value -> Parser SchemaDefinition # parseJSONList :: Value -> Parser [SchemaDefinition] #
ToJSON SchemaDefinition Source #
Instance details Defined in Amazonka.IoTAnalytics.Types.SchemaDefinition Methods toJSON :: SchemaDefinition -> Value # toEncoding :: SchemaDefinition -> Encoding # toJSONList :: [SchemaDefinition] -> Value # toEncodingList :: [SchemaDefinition] -> Encoding #
Generic SchemaDefinition Source #
Instance details Defined in Amazonka.IoTAnalytics.Types.SchemaDefinition Associated Types type Rep SchemaDefinition :: Type -> Type # Methods from :: SchemaDefinition -> Rep SchemaDefinition x # to :: Rep SchemaDefinition x -> SchemaDefinition #
Read SchemaDefinition Source #
Instance details Defined in Amazonka.IoTAnalytics.Types.SchemaDefinition Methods readsPrec :: Int -> ReadS SchemaDefinition # readList :: ReadS [SchemaDefinition] # readPrec :: ReadPrec SchemaDefinition # readListPrec :: ReadPrec [SchemaDefinition] #
Show SchemaDefinition Source #
Instance details Defined in Amazonka.IoTAnalytics.Types.SchemaDefinition Methods showsPrec :: Int -> SchemaDefinition -> ShowS # show :: SchemaDefinition -> String # showList :: [SchemaDefinition] -> ShowS #
NFData SchemaDefinition Source #
Instance details Defined in Amazonka.IoTAnalytics.Types.SchemaDefinition Methods rnf :: SchemaDefinition -> () #
Eq SchemaDefinition Source #
Instance details Defined in Amazonka.IoTAnalytics.Types.SchemaDefinition Methods (==) :: SchemaDefinition -> SchemaDefinition -> Bool # (/=) :: SchemaDefinition -> SchemaDefinition -> Bool #
Hashable SchemaDefinition Source #
Instance details Defined in Amazonka.IoTAnalytics.Types.SchemaDefinition Methods hashWithSalt :: Int -> SchemaDefinition -> Int # hash :: SchemaDefinition -> Int #
type Rep SchemaDefinition Source #
Instance details Defined in Amazonka.IoTAnalytics.Types.SchemaDefinition type Rep SchemaDefinition = D1 ('MetaData "SchemaDefinition" "Amazonka.IoTAnalytics.Types.SchemaDefinition" "amazonka-iot-analytics-2.0-2pxFb0PbSzA9ccOL4CofY4" 'False) (C1 ('MetaCons "SchemaDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "columns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Column]))))

newSchemaDefinition :: SchemaDefinition Source #

Create a value of SchemaDefinition 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:columns:SchemaDefinition', schemaDefinition_columns - Specifies one or more columns that store your data.

Each schema can have up to 100 columns. Each column can have up to 100 nested types.

schemaDefinition_columns :: Lens' SchemaDefinition (Maybe [Column]) Source #

Specifies one or more columns that store your data.

Each schema can have up to 100 columns. Each column can have up to 100 nested types.