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.ParallelismConfiguration

Description

Documentation

data ParallelismConfiguration Source #

Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously. For more information about parallelism, see Parallel Execution in the Apache Flink Documentation.

See: newParallelismConfiguration smart constructor.

Constructors

ParallelismConfiguration'

Fields

autoScalingEnabled :: Maybe Bool
Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
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. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.
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, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism 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.
configurationType :: ConfigurationType
Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Instances

Instances details

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

newParallelismConfiguration Source #

Arguments

:: ConfigurationType	`$sel:configurationType:ParallelismConfiguration'`
-> ParallelismConfiguration

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

$sel:parallelismPerKPU:ParallelismConfiguration', parallelismConfiguration_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. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

$sel:parallelism:ParallelismConfiguration', parallelismConfiguration_parallelism - Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform. If AutoScalingEnabled is set to True, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism 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:configurationType:ParallelismConfiguration', parallelismConfiguration_configurationType - Describes whether the application uses the default parallelism for the Kinesis Data Analytics service. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

parallelismConfiguration_autoScalingEnabled :: Lens' ParallelismConfiguration (Maybe Bool) Source #

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

parallelismConfiguration_parallelismPerKPU :: Lens' ParallelismConfiguration (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. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

parallelismConfiguration_parallelism :: Lens' ParallelismConfiguration (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, Kinesis Data Analytics increases the CurrentParallelism value in response to application load. The service can increase the CurrentParallelism 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.

parallelismConfiguration_configurationType :: Lens' ParallelismConfiguration ConfigurationType Source #

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