Package software.amazon.awssdk.services.kinesisanalyticsv2.model

Interface ParallelismConfiguration.Builder

All Superinterfaces:

Buildable, CopyableBuilder<ParallelismConfiguration.Builder,ParallelismConfiguration>, SdkBuilder<ParallelismConfiguration.Builder,ParallelismConfiguration>, SdkPojo

Enclosing class:

ParallelismConfiguration

public static interface ParallelismConfiguration.Builder
extends SdkPojo, CopyableBuilder<ParallelismConfiguration.Builder,ParallelismConfiguration>

Method Summary

Modifier and Type	Method	Description
ParallelismConfiguration.Builder	autoScalingEnabled(Boolean autoScalingEnabled)	Describes whether the Managed Service for Apache Flink service can increase the parallelism of the application in response to increased throughput.
ParallelismConfiguration.Builder	configurationType(String configurationType)	Describes whether the application uses the default parallelism for the Managed Service for Apache Flink service.
ParallelismConfiguration.Builder	configurationType(ConfigurationType configurationType)	Describes whether the application uses the default parallelism for the Managed Service for Apache Flink service.
ParallelismConfiguration.Builder	parallelism(Integer parallelism)	Describes the initial number of parallel tasks that a Managed Service for Apache Flink application can perform.
ParallelismConfiguration.Builder	parallelismPerKPU(Integer parallelismPerKPU)	Describes the number of parallel tasks that a Managed Service for Apache Flink application can perform per Kinesis Processing Unit (KPU) used by the application.

Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuilder

copy

Methods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilder

applyMutation, build

Methods inherited from interface software.amazon.awssdk.core.SdkPojo

equalsBySdkFields, sdkFields

Method Detail

configurationType

ParallelismConfiguration.Builder configurationType(String configurationType)

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

Parameters:

configurationType - Describes whether the application uses the default parallelism for the Managed Service for Apache Flink service. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

ConfigurationType, ConfigurationType

configurationType

ParallelismConfiguration.Builder configurationType(ConfigurationType configurationType)

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

Parameters:

configurationType - Describes whether the application uses the default parallelism for the Managed Service for Apache Flink service. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

Returns:

Returns a reference to this object so that method calls can be chained together.

See Also:

ConfigurationType, ConfigurationType

parallelism

ParallelismConfiguration.Builder parallelism(Integer parallelism)

Describes the initial number of parallel tasks that a Managed Service for Apache Flink application can perform. If AutoScalingEnabled is set to True, Managed Service for Apache Flink 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.

Parameters:

parallelism - Describes the initial number of parallel tasks that a Managed Service for Apache Flink application can perform. If AutoScalingEnabled is set to True, Managed Service for Apache Flink 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.

Returns:

Returns a reference to this object so that method calls can be chained together.

parallelismPerKPU

ParallelismConfiguration.Builder parallelismPerKPU(Integer parallelismPerKPU)

Describes the number of parallel tasks that a Managed Service for Apache Flink application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Managed Service for Apache Flink Pricing.

Parameters:

parallelismPerKPU - Describes the number of parallel tasks that a Managed Service for Apache Flink application can perform per Kinesis Processing Unit (KPU) used by the application. For more information about KPUs, see Amazon Managed Service for Apache Flink Pricing.

Returns:

Returns a reference to this object so that method calls can be chained together.

autoScalingEnabled

ParallelismConfiguration.Builder autoScalingEnabled(Boolean autoScalingEnabled)

Describes whether the Managed Service for Apache Flink service can increase the parallelism of the application in response to increased throughput.

Parameters:

autoScalingEnabled - Describes whether the Managed Service for Apache Flink service can increase the parallelism of the application in response to increased throughput.

Returns:

Returns a reference to this object so that method calls can be chained together.