Struct aws_sdk_emrserverless::operation::create_application::CreateApplicationInput

#[non_exhaustive]
pub struct CreateApplicationInput {

    pub name: Option<String>,
    pub release_label: Option<String>,
    pub type: Option<String>,
    pub client_token: Option<String>,
    pub initial_capacity: Option<HashMap<String, InitialCapacityConfig>>,
    pub maximum_capacity: Option<MaximumAllowedResources>,
    pub tags: Option<HashMap<String, String>>,
    pub auto_start_configuration: Option<AutoStartConfig>,
    pub auto_stop_configuration: Option<AutoStopConfig>,
    pub network_configuration: Option<NetworkConfiguration>,
    pub architecture: Option<Architecture>,
    pub image_configuration: Option<ImageConfigurationInput>,
    pub worker_type_specifications: Option<HashMap<String, WorkerTypeSpecificationInput>>,
    pub runtime_configuration: Option<Vec<Configuration>>,
    pub monitoring_configuration: Option<MonitoringConfiguration>,
}

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.

name: Option<String>

The name of the application.

release_label: Option<String>

The Amazon EMR release associated with the application.

type: Option<String>

The type of application you want to start, such as Spark or Hive.

client_token: Option<String>

The client idempotency token of the application to create. Its value must be unique for each request.

initial_capacity: Option<HashMap<String, InitialCapacityConfig>>

The capacity to initialize when the application is created.

maximum_capacity: Option<MaximumAllowedResources>

The maximum capacity to allocate when the application is created. This is cumulative across all workers at any given point in time, not just when an application is created. No new resources will be created once any one of the defined limits is hit.

tags: Option<HashMap<String, String>>

The tags assigned to the application.

auto_start_configuration: Option<AutoStartConfig>

The configuration for an application to automatically start on job submission.

auto_stop_configuration: Option<AutoStopConfig>

The configuration for an application to automatically stop after a certain amount of time being idle.

network_configuration: Option<NetworkConfiguration>

The network configuration for customer VPC connectivity.

architecture: Option<Architecture>

The CPU architecture of an application.

image_configuration: Option<ImageConfigurationInput>

The image configuration for all worker types. You can either set this parameter or imageConfiguration for each worker type in workerTypeSpecifications.

worker_type_specifications: Option<HashMap<String, WorkerTypeSpecificationInput>>

The key-value pairs that specify worker type to WorkerTypeSpecificationInput. This parameter must contain all valid worker types for a Spark or Hive application. Valid worker types include Driver and Executor for Spark applications and HiveDriver and TezTask for Hive applications. You can either set image details in this parameter for each worker type, or in imageConfiguration for all worker types.

runtime_configuration: Option<Vec<Configuration>>

The Configuration specifications to use when creating an application. Each configuration consists of a classification and properties. This configuration is applied to all the job runs submitted under the application.

monitoring_configuration: Option<MonitoringConfiguration>

The configuration setting for monitoring.

Implementations

impl CreateApplicationInput

pub fn name(&self) -> Option<&str>

The name of the application.

pub fn release_label(&self) -> Option<&str>

The Amazon EMR release associated with the application.

pub fn type(&self) -> Option<&str>

The type of application you want to start, such as Spark or Hive.

pub fn client_token(&self) -> Option<&str>

The client idempotency token of the application to create. Its value must be unique for each request.

pub fn initial_capacity( &self ) -> Option<&HashMap<String, InitialCapacityConfig>>

The capacity to initialize when the application is created.

pub fn maximum_capacity(&self) -> Option<&MaximumAllowedResources>

The maximum capacity to allocate when the application is created. This is cumulative across all workers at any given point in time, not just when an application is created. No new resources will be created once any one of the defined limits is hit.

pub fn tags(&self) -> Option<&HashMap<String, String>>

The tags assigned to the application.

pub fn auto_start_configuration(&self) -> Option<&AutoStartConfig>

The configuration for an application to automatically start on job submission.

pub fn auto_stop_configuration(&self) -> Option<&AutoStopConfig>

The configuration for an application to automatically stop after a certain amount of time being idle.

pub fn network_configuration(&self) -> Option<&NetworkConfiguration>

The network configuration for customer VPC connectivity.

pub fn architecture(&self) -> Option<&Architecture>

The CPU architecture of an application.

pub fn image_configuration(&self) -> Option<&ImageConfigurationInput>

The image configuration for all worker types. You can either set this parameter or imageConfiguration for each worker type in workerTypeSpecifications.

pub fn worker_type_specifications( &self ) -> Option<&HashMap<String, WorkerTypeSpecificationInput>>

The key-value pairs that specify worker type to WorkerTypeSpecificationInput. This parameter must contain all valid worker types for a Spark or Hive application. Valid worker types include Driver and Executor for Spark applications and HiveDriver and TezTask for Hive applications. You can either set image details in this parameter for each worker type, or in imageConfiguration for all worker types.

pub fn runtime_configuration(&self) -> &[Configuration]

The Configuration specifications to use when creating an application. Each configuration consists of a classification and properties. This configuration is applied to all the job runs submitted under the application.

If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .runtime_configuration.is_none().

pub fn monitoring_configuration(&self) -> Option<&MonitoringConfiguration>

The configuration setting for monitoring.

impl CreateApplicationInput

pub fn builder() -> CreateApplicationInputBuilder

Creates a new builder-style object to manufacture CreateApplicationInput.

Trait Implementations

impl Clone for CreateApplicationInput

fn clone(&self) -> CreateApplicationInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateApplicationInput

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

Formats the value using the given formatter.

impl PartialEq for CreateApplicationInput

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