Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.DataBrew.Types.Sample

Description

Synopsis

data Sample = Sample' {
- size :: Maybe Natural
- type' :: SampleType
}
newSample :: SampleType -> Sample
sample_size :: Lens' Sample (Maybe Natural)
sample_type :: Lens' Sample SampleType

Documentation

data Sample Source #

Represents the sample size and sampling type for DataBrew to use for interactive data analysis.

See: newSample smart constructor.

Constructors

Sample'
Fields size :: Maybe Natural The number of rows in the sample. type' :: SampleType The way in which DataBrew obtains rows from a dataset.

Instances

Instances details

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

newSample Source #

Arguments

:: SampleType	`$sel:type':Sample'`
-> Sample

Create a value of Sample 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:size:Sample', sample_size - The number of rows in the sample.

$sel:type':Sample', sample_type - The way in which DataBrew obtains rows from a dataset.

sample_size :: Lens' Sample (Maybe Natural) Source #

The number of rows in the sample.

sample_type :: Lens' Sample SampleType Source #

The way in which DataBrew obtains rows from a dataset.