Struct aws_sdk_kinesisanalyticsv2::types::ParallelismConfigurationUpdate

#[non_exhaustive]
pub struct ParallelismConfigurationUpdate {
    pub configuration_type_update: Option<ConfigurationType>,
    pub parallelism_update: Option<i32>,
    pub parallelism_per_kpu_update: Option<i32>,
    pub auto_scaling_enabled_update: Option<bool>,
}

Describes updates to parameters for how an application executes multiple tasks simultaneously.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

configuration_type_update: 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.

parallelism_update: 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.

parallelism_per_kpu_update: Option<i32>

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

auto_scaling_enabled_update: 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.

Implementations

impl ParallelismConfigurationUpdate

pub fn 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) -> 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) -> 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) -> 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.

impl ParallelismConfigurationUpdate

pub fn builder() -> ParallelismConfigurationUpdateBuilder

Creates a new builder-style object to manufacture ParallelismConfigurationUpdate.

Trait Implementations

impl Clone for ParallelismConfigurationUpdate

fn clone(&self) -> ParallelismConfigurationUpdate

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ParallelismConfigurationUpdate

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

Formats the value using the given formatter.

impl PartialEq for ParallelismConfigurationUpdate

fn eq(&self, other: &ParallelismConfigurationUpdate) -> 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 ParallelismConfigurationUpdate