Struct aws_sdk_kinesisanalyticsv2::model::ParallelismConfiguration

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

Describes parameters for how a Flink-based Kinesis Data Analytics application executes multiple tasks simultaneously. For more information about parallelism, see Parallel Execution in the Apache Flink Documentation.

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. You must set this property to CUSTOM in order to change your application's AutoScalingEnabled, Parallelism, or ParallelismPerKPU properties.

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, 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.

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. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

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 ParallelismConfiguration

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

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, 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.

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. For more information about KPUs, see Amazon Kinesis Data Analytics Pricing.

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 ParallelismConfiguration

pub fn builder() -> Builder

Creates a new builder-style object to manufacture ParallelismConfiguration

Trait Implementations

impl Clone for ParallelismConfiguration

fn clone(&self) -> ParallelismConfiguration

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for ParallelismConfiguration

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

Formats the value using the given formatter.

impl PartialEq<ParallelismConfiguration> for ParallelismConfiguration

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

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

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

This method tests for !=.

impl StructuralPartialEq for ParallelismConfiguration