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.KinesisAnalyticsV2.Types.Input

Description

Documentation

data Input Source #

When you configure the application input for a SQL-based Kinesis Data Analytics application, you specify the streaming source, the in-application stream name that is created, and the mapping between the two.

See: newInput smart constructor.

Constructors

Input'

Fields

inputParallelism :: Maybe InputParallelism
Describes the number of in-application streams to create.
inputProcessingConfiguration :: Maybe InputProcessingConfiguration
The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.
kinesisStreamsInput :: Maybe KinesisStreamsInput
If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).
kinesisFirehoseInput :: Maybe KinesisFirehoseInput
If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.
namePrefix :: Text
The name prefix to use when creating an in-application stream. Suppose that you specify a prefix "MyInApplicationStream." Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names "MyInApplicationStream_001," "MyInApplicationStream_002," and so on.
inputSchema :: SourceSchema
Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.
Also used to describe the format of the reference data source.

Instances

Instances details

Eq Input Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.Input Methods (==) :: Input -> Input -> Bool # (/=) :: Input -> Input -> Bool #
Read Input Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.Input Methods readsPrec :: Int -> ReadS Input # readList :: ReadS [Input] # readPrec :: ReadPrec Input # readListPrec :: ReadPrec [Input] #
Show Input Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.Input Methods showsPrec :: Int -> Input -> ShowS # show :: Input -> String # showList :: [Input] -> ShowS #
Generic Input Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.Input Associated Types type Rep Input :: Type -> Type # Methods from :: Input -> Rep Input x # to :: Rep Input x -> Input #
NFData Input Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.Input Methods rnf :: Input -> () #
Hashable Input Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.Input Methods hashWithSalt :: Int -> Input -> Int # hash :: Input -> Int #
ToJSON Input Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.Input Methods toJSON :: Input -> Value # toEncoding :: Input -> Encoding # toJSONList :: [Input] -> Value # toEncodingList :: [Input] -> Encoding #
type Rep Input Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.Input type Rep Input = D1 ('MetaData "Input" "Amazonka.KinesisAnalyticsV2.Types.Input" "libZSservicesZSamazonka-kinesisanalyticsv2ZSamazonka-kinesisanalyticsv2" 'False) (C1 ('MetaCons "Input'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "inputParallelism") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InputParallelism)) :: (S1 ('MetaSel ('Just "inputProcessingConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InputProcessingConfiguration)) :: S1 ('MetaSel ('Just "kinesisStreamsInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KinesisStreamsInput)))) :: (S1 ('MetaSel ('Just "kinesisFirehoseInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KinesisFirehoseInput)) :: (S1 ('MetaSel ('Just "namePrefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "inputSchema") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 SourceSchema)))))

newInput Source #

Arguments

:: Text	`$sel:namePrefix:Input'`
-> SourceSchema	`$sel:inputSchema:Input'`
-> Input

Create a value of Input 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:inputParallelism:Input', input_inputParallelism - Describes the number of in-application streams to create.

$sel:inputProcessingConfiguration:Input', input_inputProcessingConfiguration - The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.

$sel:kinesisStreamsInput:Input', input_kinesisStreamsInput - If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).

$sel:kinesisFirehoseInput:Input', input_kinesisFirehoseInput - If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.

$sel:namePrefix:Input', input_namePrefix - The name prefix to use when creating an in-application stream. Suppose that you specify a prefix "MyInApplicationStream." Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names "MyInApplicationStream_001," "MyInApplicationStream_002," and so on.

$sel:inputSchema:Input', input_inputSchema - Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.

Also used to describe the format of the reference data source.

input_inputParallelism :: Lens' Input (Maybe InputParallelism) Source #

Describes the number of in-application streams to create.

input_inputProcessingConfiguration :: Lens' Input (Maybe InputProcessingConfiguration) Source #

The InputProcessingConfiguration for the input. An input processor transforms records as they are received from the stream, before the application's SQL code executes. Currently, the only input processing configuration available is InputLambdaProcessor.

input_kinesisStreamsInput :: Lens' Input (Maybe KinesisStreamsInput) Source #

If the streaming source is an Amazon Kinesis data stream, identifies the stream's Amazon Resource Name (ARN).

input_kinesisFirehoseInput :: Lens' Input (Maybe KinesisFirehoseInput) Source #

If the streaming source is an Amazon Kinesis Data Firehose delivery stream, identifies the delivery stream's ARN.

input_namePrefix :: Lens' Input Text Source #

The name prefix to use when creating an in-application stream. Suppose that you specify a prefix "MyInApplicationStream." Kinesis Data Analytics then creates one or more (as per the InputParallelism count you specified) in-application streams with the names "MyInApplicationStream_001," "MyInApplicationStream_002," and so on.

input_inputSchema :: Lens' Input SourceSchema Source #

Describes the format of the data in the streaming source, and how each data element maps to corresponding columns in the in-application stream that is being created.

Also used to describe the format of the reference data source.