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.ParallelismConfigurationDescription

Description

Synopsis

Documentation

data ParallelismConfigurationDescription Source #

Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously.

See: newParallelismConfigurationDescription smart constructor.

Constructors

ParallelismConfigurationDescription'

Fields

autoScalingEnabled :: Maybe Bool
Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
currentParallelism :: Maybe Natural
Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics can increase this value in response to application load. The service can increase this value 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 can reduce the CurrentParallelism value down to the Parallelism setting.
parallelismPerKPU :: Maybe Natural
Describes the number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.
configurationType :: Maybe ConfigurationType
Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
parallelism :: Maybe Natural
Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics 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 can reduce the CurrentParallelism value down to the Parallelism setting.

Instances

Instances details

Eq ParallelismConfigurationDescription Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationDescription Methods (==) :: ParallelismConfigurationDescription -> ParallelismConfigurationDescription -> Bool # (/=) :: ParallelismConfigurationDescription -> ParallelismConfigurationDescription -> Bool #
Read ParallelismConfigurationDescription Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationDescription Methods readsPrec :: Int -> ReadS ParallelismConfigurationDescription # readList :: ReadS [ParallelismConfigurationDescription] # readPrec :: ReadPrec ParallelismConfigurationDescription # readListPrec :: ReadPrec [ParallelismConfigurationDescription] #
Show ParallelismConfigurationDescription Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationDescription Methods showsPrec :: Int -> ParallelismConfigurationDescription -> ShowS # show :: ParallelismConfigurationDescription -> String # showList :: [ParallelismConfigurationDescription] -> ShowS #
Generic ParallelismConfigurationDescription Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationDescription Associated Types type Rep ParallelismConfigurationDescription :: Type -> Type # Methods from :: ParallelismConfigurationDescription -> Rep ParallelismConfigurationDescription x # to :: Rep ParallelismConfigurationDescription x -> ParallelismConfigurationDescription #
NFData ParallelismConfigurationDescription Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationDescription Methods rnf :: ParallelismConfigurationDescription -> () #
Hashable ParallelismConfigurationDescription Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationDescription Methods hashWithSalt :: Int -> ParallelismConfigurationDescription -> Int # hash :: ParallelismConfigurationDescription -> Int #
FromJSON ParallelismConfigurationDescription Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationDescription Methods parseJSON :: Value -> Parser ParallelismConfigurationDescription # parseJSONList :: Value -> Parser [ParallelismConfigurationDescription] #
type Rep ParallelismConfigurationDescription Source #
Instance details Defined in Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationDescription type Rep ParallelismConfigurationDescription = D1 ('MetaData "ParallelismConfigurationDescription" "Amazonka.KinesisAnalyticsV2.Types.ParallelismConfigurationDescription" "libZSservicesZSamazonka-kinesisanalyticsv2ZSamazonka-kinesisanalyticsv2" 'False) (C1 ('MetaCons "ParallelismConfigurationDescription'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "autoScalingEnabled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :: S1 ('MetaSel ('Just "currentParallelism") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :: (S1 ('MetaSel ('Just "parallelismPerKPU") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "configurationType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConfigurationType)) :: S1 ('MetaSel ('Just "parallelism") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))))

newParallelismConfigurationDescription :: ParallelismConfigurationDescription Source #

Create a value of ParallelismConfigurationDescription 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:autoScalingEnabled:ParallelismConfigurationDescription', parallelismConfigurationDescription_autoScalingEnabled - Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

$sel:currentParallelism:ParallelismConfigurationDescription', parallelismConfigurationDescription_currentParallelism - Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics can increase this value in response to application load. The service can increase this value 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 can reduce the CurrentParallelism value down to the Parallelism setting.

$sel:parallelismPerKPU:ParallelismConfigurationDescription', parallelismConfigurationDescription_parallelismPerKPU - Describes the number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.

$sel:configurationType:ParallelismConfigurationDescription', parallelismConfigurationDescription_configurationType - Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.

$sel:parallelism:ParallelismConfigurationDescription', parallelismConfigurationDescription_parallelism - Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics 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 can reduce the CurrentParallelism value down to the Parallelism setting.

parallelismConfigurationDescription_autoScalingEnabled :: Lens' ParallelismConfigurationDescription (Maybe Bool) Source #

Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.

parallelismConfigurationDescription_currentParallelism :: Lens' ParallelismConfigurationDescription (Maybe Natural) Source #

Describes the current number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics can increase this value in response to application load. The service can increase this value 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 can reduce the CurrentParallelism value down to the Parallelism setting.

parallelismConfigurationDescription_parallelismPerKPU :: Lens' ParallelismConfigurationDescription (Maybe Natural) Source #

Describes the number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform per Kinesis Processing Unit (KPU) used by the application.

parallelismConfigurationDescription_configurationType :: Lens' ParallelismConfigurationDescription (Maybe ConfigurationType) Source #

Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.

parallelismConfigurationDescription_parallelism :: Lens' ParallelismConfigurationDescription (Maybe Natural) Source #

Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics 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 can reduce the CurrentParallelism value down to the Parallelism setting.