Struct aws_sdk_kinesisanalyticsv2::model::ParallelismConfigurationDescription

#[non_exhaustive]
pub struct ParallelismConfigurationDescription {
    pub configuration_type: Option<ConfigurationType>,
    pub parallelism: Option<i32>,
    pub parallelism_per_kpu: Option<i32>,
    pub current_parallelism: Option<i32>,
    pub auto_scaling_enabled: Option<bool>,
}

Describes parameters for how a Flink-based Kinesis Data Analytics 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: Option<ConfigurationType>

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

parallelism: Option<i32>

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.

parallelism_per_kpu: Option<i32>

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.

current_parallelism: Option<i32>

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.

auto_scaling_enabled: Option<bool>

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

Implementations

impl ParallelismConfigurationDescription

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

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

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

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.

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

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.

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

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.

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

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

impl ParallelismConfigurationDescription

pub fn builder() -> Builder

Creates a new builder-style object to manufacture ParallelismConfigurationDescription

Trait Implementations

impl Clone for ParallelismConfigurationDescription

fn clone(&self) -> ParallelismConfigurationDescription

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ParallelismConfigurationDescription

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

Formats the value using the given formatter.

impl PartialEq<ParallelismConfigurationDescription> for ParallelismConfigurationDescription

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

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

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

This method tests for !=.

impl StructuralPartialEq for ParallelismConfigurationDescription