software.amazon.awssdk.services.kinesisanalyticsv2.model

Interface ParallelismConfigurationDescription.Builder

All Superinterfaces:

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

Enclosing class:

ParallelismConfigurationDescription

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

Method Summary

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

ParallelismConfigurationDescription.Builder configurationType(String configurationType)

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

Parameters:

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

Returns:

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

See Also:

ConfigurationType, ConfigurationType

configurationType

ParallelismConfigurationDescription.Builder configurationType(ConfigurationType configurationType)

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

Parameters:

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

Returns:

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

See Also:

ConfigurationType, ConfigurationType

parallelism

ParallelismConfigurationDescription.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, 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.

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, 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.

Returns:

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

parallelismPerKPU

ParallelismConfigurationDescription.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.

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.

Returns:

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

currentParallelism

ParallelismConfigurationDescription.Builder currentParallelism(Integer 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.

Parameters:

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.

Returns:

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

autoScalingEnabled

ParallelismConfigurationDescription.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.