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.Personalize.Types.DataSource

Description

Synopsis

data DataSource = DataSource' {
- dataLocation :: Maybe Text
}
newDataSource :: DataSource
dataSource_dataLocation :: Lens' DataSource (Maybe Text)

Documentation

data DataSource Source #

Describes the data source that contains the data to upload to a dataset.

See: newDataSource smart constructor.

Constructors

DataSource'
Fields dataLocation :: Maybe Text The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example: s3://bucket-name/folder-name/

Instances

Instances details

FromJSON DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods parseJSON :: Value -> Parser DataSource # parseJSONList :: Value -> Parser [DataSource] #
ToJSON DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods toJSON :: DataSource -> Value # toEncoding :: DataSource -> Encoding # toJSONList :: [DataSource] -> Value # toEncodingList :: [DataSource] -> Encoding #
Generic DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Associated Types type Rep DataSource :: Type -> Type # Methods from :: DataSource -> Rep DataSource x # to :: Rep DataSource x -> DataSource #
Read DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods readsPrec :: Int -> ReadS DataSource # readList :: ReadS [DataSource] # readPrec :: ReadPrec DataSource # readListPrec :: ReadPrec [DataSource] #
Show DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods showsPrec :: Int -> DataSource -> ShowS # show :: DataSource -> String # showList :: [DataSource] -> ShowS #
NFData DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods rnf :: DataSource -> () #
Eq DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods (==) :: DataSource -> DataSource -> Bool # (/=) :: DataSource -> DataSource -> Bool #
Hashable DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource Methods hashWithSalt :: Int -> DataSource -> Int # hash :: DataSource -> Int #
type Rep DataSource Source #
Instance details Defined in Amazonka.Personalize.Types.DataSource type Rep DataSource = D1 ('MetaData "DataSource" "Amazonka.Personalize.Types.DataSource" "amazonka-personalize-2.0-9kdbGNMxU7zEIoXPqEwwTg" 'False) (C1 ('MetaCons "DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newDataSource :: DataSource Source #

Create a value of DataSource 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:dataLocation:DataSource', dataSource_dataLocation - The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example:

s3://bucket-name/folder-name/

dataSource_dataLocation :: Lens' DataSource (Maybe Text) Source #

The path to the Amazon S3 bucket where the data that you want to upload to your dataset is stored. For example:

s3://bucket-name/folder-name/