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.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate

Description

Documentation

data ParallelismConfigurationUpdate Source #

Describes updates to parameters for how an application executes multiple tasks simultaneously.

See: newParallelismConfigurationUpdate smart constructor.

Constructors

ParallelismConfigurationUpdate'

Fields

autoScalingEnabledUpdate :: Maybe Bool
Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.
configurationTypeUpdate :: Maybe ConfigurationType
Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.
parallelismPerKPUUpdate :: Maybe Natural
Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.
parallelismUpdate :: Maybe Natural
Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

Instances

Instances details

ToJSON ParallelismConfigurationUpdate Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate Methods toJSON :: ParallelismConfigurationUpdate -> Value # toEncoding :: ParallelismConfigurationUpdate -> Encoding # toJSONList :: [ParallelismConfigurationUpdate] -> Value # toEncodingList :: [ParallelismConfigurationUpdate] -> Encoding #
Generic ParallelismConfigurationUpdate Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate Associated Types type Rep ParallelismConfigurationUpdate :: Type -> Type # Methods from :: ParallelismConfigurationUpdate -> Rep ParallelismConfigurationUpdate x # to :: Rep ParallelismConfigurationUpdate x -> ParallelismConfigurationUpdate #
Read ParallelismConfigurationUpdate Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate Methods readsPrec :: Int -> ReadS ParallelismConfigurationUpdate # readList :: ReadS [ParallelismConfigurationUpdate] # readPrec :: ReadPrec ParallelismConfigurationUpdate # readListPrec :: ReadPrec [ParallelismConfigurationUpdate] #
Show ParallelismConfigurationUpdate Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate Methods showsPrec :: Int -> ParallelismConfigurationUpdate -> ShowS # show :: ParallelismConfigurationUpdate -> String # showList :: [ParallelismConfigurationUpdate] -> ShowS #
NFData ParallelismConfigurationUpdate Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate Methods rnf :: ParallelismConfigurationUpdate -> () #
Eq ParallelismConfigurationUpdate Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate Methods (==) :: ParallelismConfigurationUpdate -> ParallelismConfigurationUpdate -> Bool # (/=) :: ParallelismConfigurationUpdate -> ParallelismConfigurationUpdate -> Bool #
Hashable ParallelismConfigurationUpdate Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate Methods hashWithSalt :: Int -> ParallelismConfigurationUpdate -> Int # hash :: ParallelismConfigurationUpdate -> Int #
type Rep ParallelismConfigurationUpdate Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate type Rep ParallelismConfigurationUpdate = D1 ('MetaData "ParallelismConfigurationUpdate" "Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationUpdate" "amazonka-kinesisanalyticsv2-2.0-EuRTRS4ROZrHrkll3mMtCB" 'False) (C1 ('MetaCons "ParallelismConfigurationUpdate'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "autoScalingEnabledUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "configurationTypeUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConfigurationType))) :: (S1 ('MetaSel ('Just "parallelismPerKPUUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "parallelismUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newParallelismConfigurationUpdate :: ParallelismConfigurationUpdate Source #

Create a value of ParallelismConfigurationUpdate 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:autoScalingEnabledUpdate:ParallelismConfigurationUpdate', parallelismConfigurationUpdate_autoScalingEnabledUpdate - Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

$sel:configurationTypeUpdate:ParallelismConfigurationUpdate', parallelismConfigurationUpdate_configurationTypeUpdate - Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

$sel:parallelismPerKPUUpdate:ParallelismConfigurationUpdate', parallelismConfigurationUpdate_parallelismPerKPUUpdate - Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

$sel:parallelismUpdate:ParallelismConfigurationUpdate', parallelismConfigurationUpdate_parallelismUpdate - Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.

parallelismConfigurationUpdate_autoScalingEnabledUpdate :: Lens' ParallelismConfigurationUpdate (Maybe Bool) Source #

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

parallelismConfigurationUpdate_configurationTypeUpdate :: Lens' ParallelismConfigurationUpdate (Maybe ConfigurationType) Source #

Describes updates to whether the application uses the default parallelism for the Kinesis Data Analytics service, or if a custom parallelism is used. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

parallelismConfigurationUpdate_parallelismPerKPUUpdate :: Lens' ParallelismConfigurationUpdate (Maybe Natural) Source #

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

parallelismConfigurationUpdate_parallelismUpdate :: Lens' ParallelismConfigurationUpdate (Maybe Natural) Source #

Describes updates to the initial number of parallel tasks an application can perform. If AutoScalingEnabled is set to True, then Kinesis Data Analytics can increase the CurrentParallelism value in response to application load. The service can increase CurrentParallelism up to the maximum parallelism, which is ParalellismPerKPU times the maximum KPUs for the application. The maximum KPUs for an application is 32 by default, and can be increased by requesting a limit increase. If application load is reduced, the service will reduce CurrentParallelism down to the Parallelism setting.