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.DataPipeline.Types.Selector

Description

Synopsis

data Selector = Selector' {
- fieldName :: Maybe Text
- operator :: Maybe Operator
}
newSelector :: Selector
selector_fieldName :: Lens' Selector (Maybe Text)
selector_operator :: Lens' Selector (Maybe Operator)

Documentation

data Selector Source #

A comparision that is used to determine whether a query should return this object.

See: newSelector smart constructor.

Constructors

Selector'
Fields fieldName :: Maybe Text The name of the field that the operator will be applied to. The field name is the "key" portion of the field definition in the pipeline definition syntax that is used by the AWS Data Pipeline API. If the field is not set on the object, the condition fails. operator :: Maybe Operator

Instances

Instances details

ToJSON Selector Source #
Instance details Defined in Amazonka.DataPipeline.Types.Selector Methods toJSON :: Selector -> Value # toEncoding :: Selector -> Encoding # toJSONList :: [Selector] -> Value # toEncodingList :: [Selector] -> Encoding #
Generic Selector Source #
Instance details Defined in Amazonka.DataPipeline.Types.Selector Associated Types type Rep Selector :: Type -> Type # Methods from :: Selector -> Rep Selector x # to :: Rep Selector x -> Selector #
Read Selector Source #
Instance details Defined in Amazonka.DataPipeline.Types.Selector Methods readsPrec :: Int -> ReadS Selector # readList :: ReadS [Selector] # readPrec :: ReadPrec Selector # readListPrec :: ReadPrec [Selector] #
Show Selector Source #
Instance details Defined in Amazonka.DataPipeline.Types.Selector Methods showsPrec :: Int -> Selector -> ShowS # show :: Selector -> String # showList :: [Selector] -> ShowS #
NFData Selector Source #
Instance details Defined in Amazonka.DataPipeline.Types.Selector Methods rnf :: Selector -> () #
Eq Selector Source #
Instance details Defined in Amazonka.DataPipeline.Types.Selector Methods (==) :: Selector -> Selector -> Bool # (/=) :: Selector -> Selector -> Bool #
Hashable Selector Source #
Instance details Defined in Amazonka.DataPipeline.Types.Selector Methods hashWithSalt :: Int -> Selector -> Int # hash :: Selector -> Int #
type Rep Selector Source #
Instance details Defined in Amazonka.DataPipeline.Types.Selector type Rep Selector = D1 ('MetaData "Selector" "Amazonka.DataPipeline.Types.Selector" "amazonka-datapipeline-2.0-1cySuAk2jmdDRpZSxMUuos" 'False) (C1 ('MetaCons "Selector'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fieldName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "operator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Operator))))

newSelector :: Selector Source #

Create a value of Selector 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:fieldName:Selector', selector_fieldName - The name of the field that the operator will be applied to. The field name is the "key" portion of the field definition in the pipeline definition syntax that is used by the AWS Data Pipeline API. If the field is not set on the object, the condition fails.

$sel:operator:Selector', selector_operator - Undocumented member.

selector_fieldName :: Lens' Selector (Maybe Text) Source #

The name of the field that the operator will be applied to. The field name is the "key" portion of the field definition in the pipeline definition syntax that is used by the AWS Data Pipeline API. If the field is not set on the object, the condition fails.

selector_operator :: Lens' Selector (Maybe Operator) Source #

Undocumented member.