Struct aws_sdk_kinesisanalyticsv2::types::builders::ParallelismConfigurationUpdateBuilder

#[non_exhaustive]
pub struct ParallelismConfigurationUpdateBuilder { /* private fields */ }

A builder for ParallelismConfigurationUpdate.

Implementations

impl ParallelismConfigurationUpdateBuilder

pub fn configuration_type_update(self, input: ConfigurationType) -> Self

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

pub fn set_configuration_type_update( self, input: Option<ConfigurationType> ) -> Self

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

pub fn get_configuration_type_update(&self) -> &Option<ConfigurationType>

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

pub fn parallelism_update(self, input: i32) -> Self

Describes updates to the initial number of parallel tasks an 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 will reduce CurrentParallelism down to the Parallelism setting.

pub fn set_parallelism_update(self, input: Option<i32>) -> Self

Describes updates to the initial number of parallel tasks an 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 will reduce CurrentParallelism down to the Parallelism setting.

pub fn get_parallelism_update(&self) -> &Option<i32>

Describes updates to the initial number of parallel tasks an 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 will reduce CurrentParallelism down to the Parallelism setting.

pub fn parallelism_per_kpu_update(self, input: i32) -> Self

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

pub fn set_parallelism_per_kpu_update(self, input: Option<i32>) -> Self

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

pub fn get_parallelism_per_kpu_update(&self) -> &Option<i32>

Describes updates to the number of parallel tasks an application can perform per Kinesis Processing Unit (KPU) used by the application.

pub fn auto_scaling_enabled_update(self, input: bool) -> Self

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

pub fn set_auto_scaling_enabled_update(self, input: Option<bool>) -> Self

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

pub fn get_auto_scaling_enabled_update(&self) -> &Option<bool>

Describes updates to whether the Kinesis Data Analytics service can increase the parallelism of a Flink-based Kinesis Data Analytics application in response to increased throughput.

pub fn build(self) -> ParallelismConfigurationUpdate

Consumes the builder and constructs a ParallelismConfigurationUpdate.

Trait Implementations

impl Clone for ParallelismConfigurationUpdateBuilder

fn clone(&self) -> ParallelismConfigurationUpdateBuilder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for ParallelismConfigurationUpdateBuilder

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for ParallelismConfigurationUpdateBuilder

fn default() -> ParallelismConfigurationUpdateBuilder

Returns the “default value” for a type.

impl PartialEq for ParallelismConfigurationUpdateBuilder

fn eq(&self, other: &ParallelismConfigurationUpdateBuilder) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for ParallelismConfigurationUpdateBuilder