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 and Description
ParallelismConfiguration.Builder	autoScalingEnabled(Boolean autoScalingEnabled) Describes whether the Kinesis Data Analytics service can increase the parallelism of the application in response to increased throughput.
ParallelismConfiguration.Builder	configurationType(ConfigurationType configurationType) Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
ParallelismConfiguration.Builder	configurationType(String configurationType) Describes whether the application uses the default parallelism for the Kinesis Data Analytics service.
ParallelismConfiguration.Builder	parallelism(Integer parallelism) Describes the initial number of parallel tasks that a Flink-based Kinesis Data Analytics application can perform.
ParallelismConfiguration.Builder	parallelismPerKPU(Integer 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.

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

equalsBySdkFields, sdkFields

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

copy

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

applyMutation, build

Method Detail

configurationType

ParallelismConfiguration.Builder configurationType(String 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.

Parameters:

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.

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 Kinesis Data Analytics 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 Kinesis Data Analytics 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 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.

Parameters:

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.

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 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.

Parameters:

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.

Returns:

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

autoScalingEnabled

ParallelismConfiguration.Builder autoScalingEnabled(Boolean autoScalingEnabled)

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

Parameters:

autoScalingEnabled - Describes whether the Kinesis Data Analytics 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.