aws-sdk-applicationautoscaling 1.115.0

AWS SDK for Application Auto Scaling
Documentation
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// Code generated by software.amazon.smithy.rust.codegen.smithy-rs. DO NOT EDIT.
pub use crate::operation::describe_scalable_targets::_describe_scalable_targets_input::DescribeScalableTargetsInputBuilder;

pub use crate::operation::describe_scalable_targets::_describe_scalable_targets_output::DescribeScalableTargetsOutputBuilder;

impl crate::operation::describe_scalable_targets::builders::DescribeScalableTargetsInputBuilder {
    /// Sends a request with this input using the given client.
    pub async fn send_with(
        self,
        client: &crate::Client,
    ) -> ::std::result::Result<
        crate::operation::describe_scalable_targets::DescribeScalableTargetsOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::describe_scalable_targets::DescribeScalableTargetsError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let mut fluent_builder = client.describe_scalable_targets();
        fluent_builder.inner = self;
        fluent_builder.send().await
    }
}
/// Fluent builder constructing a request to `DescribeScalableTargets`.
///
/// <p>Gets information about the scalable targets in the specified namespace.</p>
/// <p>You can filter the results using <code>ResourceIds</code> and <code>ScalableDimension</code>.</p>
#[derive(::std::clone::Clone, ::std::fmt::Debug)]
pub struct DescribeScalableTargetsFluentBuilder {
    handle: ::std::sync::Arc<crate::client::Handle>,
    inner: crate::operation::describe_scalable_targets::builders::DescribeScalableTargetsInputBuilder,
    config_override: ::std::option::Option<crate::config::Builder>,
}
impl
    crate::client::customize::internal::CustomizableSend<
        crate::operation::describe_scalable_targets::DescribeScalableTargetsOutput,
        crate::operation::describe_scalable_targets::DescribeScalableTargetsError,
    > for DescribeScalableTargetsFluentBuilder
{
    fn send(
        self,
        config_override: crate::config::Builder,
    ) -> crate::client::customize::internal::BoxFuture<
        crate::client::customize::internal::SendResult<
            crate::operation::describe_scalable_targets::DescribeScalableTargetsOutput,
            crate::operation::describe_scalable_targets::DescribeScalableTargetsError,
        >,
    > {
        ::std::boxed::Box::pin(async move { self.config_override(config_override).send().await })
    }
}
impl DescribeScalableTargetsFluentBuilder {
    /// Creates a new `DescribeScalableTargetsFluentBuilder`.
    pub(crate) fn new(handle: ::std::sync::Arc<crate::client::Handle>) -> Self {
        Self {
            handle,
            inner: ::std::default::Default::default(),
            config_override: ::std::option::Option::None,
        }
    }
    /// Access the DescribeScalableTargets as a reference.
    pub fn as_input(&self) -> &crate::operation::describe_scalable_targets::builders::DescribeScalableTargetsInputBuilder {
        &self.inner
    }
    /// Sends the request and returns the response.
    ///
    /// If an error occurs, an `SdkError` will be returned with additional details that
    /// can be matched against.
    ///
    /// By default, any retryable failures will be retried twice. Retry behavior
    /// is configurable with the [RetryConfig](aws_smithy_types::retry::RetryConfig), which can be
    /// set when configuring the client.
    pub async fn send(
        self,
    ) -> ::std::result::Result<
        crate::operation::describe_scalable_targets::DescribeScalableTargetsOutput,
        ::aws_smithy_runtime_api::client::result::SdkError<
            crate::operation::describe_scalable_targets::DescribeScalableTargetsError,
            ::aws_smithy_runtime_api::client::orchestrator::HttpResponse,
        >,
    > {
        let input = self
            .inner
            .build()
            .map_err(::aws_smithy_runtime_api::client::result::SdkError::construction_failure)?;
        let runtime_plugins = crate::operation::describe_scalable_targets::DescribeScalableTargets::operation_runtime_plugins(
            self.handle.runtime_plugins.clone(),
            &self.handle.conf,
            self.config_override,
        );
        crate::operation::describe_scalable_targets::DescribeScalableTargets::orchestrate(&runtime_plugins, input).await
    }

    /// Consumes this builder, creating a customizable operation that can be modified before being sent.
    pub fn customize(
        self,
    ) -> crate::client::customize::CustomizableOperation<
        crate::operation::describe_scalable_targets::DescribeScalableTargetsOutput,
        crate::operation::describe_scalable_targets::DescribeScalableTargetsError,
        Self,
    > {
        crate::client::customize::CustomizableOperation::new(self)
    }
    pub(crate) fn config_override(mut self, config_override: impl ::std::convert::Into<crate::config::Builder>) -> Self {
        self.set_config_override(::std::option::Option::Some(config_override.into()));
        self
    }

    pub(crate) fn set_config_override(&mut self, config_override: ::std::option::Option<crate::config::Builder>) -> &mut Self {
        self.config_override = config_override;
        self
    }
    /// Create a paginator for this request
    ///
    /// Paginators are used by calling [`send().await`](crate::operation::describe_scalable_targets::paginator::DescribeScalableTargetsPaginator::send) which returns a [`PaginationStream`](aws_smithy_async::future::pagination_stream::PaginationStream).
    pub fn into_paginator(self) -> crate::operation::describe_scalable_targets::paginator::DescribeScalableTargetsPaginator {
        crate::operation::describe_scalable_targets::paginator::DescribeScalableTargetsPaginator::new(self.handle, self.inner)
    }
    /// <p>The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use <code>custom-resource</code> instead.</p>
    pub fn service_namespace(mut self, input: crate::types::ServiceNamespace) -> Self {
        self.inner = self.inner.service_namespace(input);
        self
    }
    /// <p>The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use <code>custom-resource</code> instead.</p>
    pub fn set_service_namespace(mut self, input: ::std::option::Option<crate::types::ServiceNamespace>) -> Self {
        self.inner = self.inner.set_service_namespace(input);
        self
    }
    /// <p>The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use <code>custom-resource</code> instead.</p>
    pub fn get_service_namespace(&self) -> &::std::option::Option<crate::types::ServiceNamespace> {
        self.inner.get_service_namespace()
    }
    ///
    /// Appends an item to `ResourceIds`.
    ///
    /// To override the contents of this collection use [`set_resource_ids`](Self::set_resource_ids).
    ///
    /// <p>The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.</p>
    /// <ul>
    /// <li>
    /// <p>ECS service - The resource type is <code>service</code> and the unique identifier is the cluster name and service name. Example: <code>service/my-cluster/my-service</code>.</p></li>
    /// <li>
    /// <p>Spot Fleet - The resource type is <code>spot-fleet-request</code> and the unique identifier is the Spot Fleet request ID. Example: <code>spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>EMR cluster - The resource type is <code>instancegroup</code> and the unique identifier is the cluster ID and instance group ID. Example: <code>instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0</code>.</p></li>
    /// <li>
    /// <p>AppStream 2.0 fleet - The resource type is <code>fleet</code> and the unique identifier is the fleet name. Example: <code>fleet/sample-fleet</code>.</p></li>
    /// <li>
    /// <p>DynamoDB table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>table/my-table</code>.</p></li>
    /// <li>
    /// <p>DynamoDB global secondary index - The resource type is <code>index</code> and the unique identifier is the index name. Example: <code>table/my-table/index/my-table-index</code>.</p></li>
    /// <li>
    /// <p>Aurora DB cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:my-db-cluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker endpoint variant - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>Custom resources are not supported with a resource type. This parameter must specify the <code>OutputValue</code> from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our <a href="https://github.com/aws/aws-auto-scaling-custom-resource">GitHub repository</a>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Lambda provisioned concurrency - The resource type is <code>function</code> and the unique identifier is the function name with a function version or alias name suffix that is not <code>$LATEST</code>. Example: <code>function:my-function:prod</code> or <code>function:my-function:1</code>.</p></li>
    /// <li>
    /// <p>Amazon Keyspaces table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>keyspace/mykeyspace/table/mytable</code>.</p></li>
    /// <li>
    /// <p>Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: <code>arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5</code>.</p></li>
    /// <li>
    /// <p>Amazon ElastiCache replication group - The resource type is <code>replication-group</code> and the unique identifier is the replication group name. Example: <code>replication-group/mycluster</code>.</p></li>
    /// <li>
    /// <p>Amazon ElastiCache cache cluster - The resource type is <code>cache-cluster</code> and the unique identifier is the cache cluster name. Example: <code>cache-cluster/mycluster</code>.</p></li>
    /// <li>
    /// <p>Neptune cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:mycluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker serverless endpoint - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>SageMaker inference component - The resource type is <code>inference-component</code> and the unique identifier is the resource ID. Example: <code>inference-component/my-inference-component</code>.</p></li>
    /// <li>
    /// <p>Pool of WorkSpaces - The resource type is <code>workspacespool</code> and the unique identifier is the pool ID. Example: <code>workspacespool/wspool-123456</code>.</p></li>
    /// </ul>
    pub fn resource_ids(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.resource_ids(input.into());
        self
    }
    /// <p>The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.</p>
    /// <ul>
    /// <li>
    /// <p>ECS service - The resource type is <code>service</code> and the unique identifier is the cluster name and service name. Example: <code>service/my-cluster/my-service</code>.</p></li>
    /// <li>
    /// <p>Spot Fleet - The resource type is <code>spot-fleet-request</code> and the unique identifier is the Spot Fleet request ID. Example: <code>spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>EMR cluster - The resource type is <code>instancegroup</code> and the unique identifier is the cluster ID and instance group ID. Example: <code>instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0</code>.</p></li>
    /// <li>
    /// <p>AppStream 2.0 fleet - The resource type is <code>fleet</code> and the unique identifier is the fleet name. Example: <code>fleet/sample-fleet</code>.</p></li>
    /// <li>
    /// <p>DynamoDB table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>table/my-table</code>.</p></li>
    /// <li>
    /// <p>DynamoDB global secondary index - The resource type is <code>index</code> and the unique identifier is the index name. Example: <code>table/my-table/index/my-table-index</code>.</p></li>
    /// <li>
    /// <p>Aurora DB cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:my-db-cluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker endpoint variant - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>Custom resources are not supported with a resource type. This parameter must specify the <code>OutputValue</code> from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our <a href="https://github.com/aws/aws-auto-scaling-custom-resource">GitHub repository</a>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Lambda provisioned concurrency - The resource type is <code>function</code> and the unique identifier is the function name with a function version or alias name suffix that is not <code>$LATEST</code>. Example: <code>function:my-function:prod</code> or <code>function:my-function:1</code>.</p></li>
    /// <li>
    /// <p>Amazon Keyspaces table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>keyspace/mykeyspace/table/mytable</code>.</p></li>
    /// <li>
    /// <p>Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: <code>arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5</code>.</p></li>
    /// <li>
    /// <p>Amazon ElastiCache replication group - The resource type is <code>replication-group</code> and the unique identifier is the replication group name. Example: <code>replication-group/mycluster</code>.</p></li>
    /// <li>
    /// <p>Amazon ElastiCache cache cluster - The resource type is <code>cache-cluster</code> and the unique identifier is the cache cluster name. Example: <code>cache-cluster/mycluster</code>.</p></li>
    /// <li>
    /// <p>Neptune cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:mycluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker serverless endpoint - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>SageMaker inference component - The resource type is <code>inference-component</code> and the unique identifier is the resource ID. Example: <code>inference-component/my-inference-component</code>.</p></li>
    /// <li>
    /// <p>Pool of WorkSpaces - The resource type is <code>workspacespool</code> and the unique identifier is the pool ID. Example: <code>workspacespool/wspool-123456</code>.</p></li>
    /// </ul>
    pub fn set_resource_ids(mut self, input: ::std::option::Option<::std::vec::Vec<::std::string::String>>) -> Self {
        self.inner = self.inner.set_resource_ids(input);
        self
    }
    /// <p>The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.</p>
    /// <ul>
    /// <li>
    /// <p>ECS service - The resource type is <code>service</code> and the unique identifier is the cluster name and service name. Example: <code>service/my-cluster/my-service</code>.</p></li>
    /// <li>
    /// <p>Spot Fleet - The resource type is <code>spot-fleet-request</code> and the unique identifier is the Spot Fleet request ID. Example: <code>spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>EMR cluster - The resource type is <code>instancegroup</code> and the unique identifier is the cluster ID and instance group ID. Example: <code>instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0</code>.</p></li>
    /// <li>
    /// <p>AppStream 2.0 fleet - The resource type is <code>fleet</code> and the unique identifier is the fleet name. Example: <code>fleet/sample-fleet</code>.</p></li>
    /// <li>
    /// <p>DynamoDB table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>table/my-table</code>.</p></li>
    /// <li>
    /// <p>DynamoDB global secondary index - The resource type is <code>index</code> and the unique identifier is the index name. Example: <code>table/my-table/index/my-table-index</code>.</p></li>
    /// <li>
    /// <p>Aurora DB cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:my-db-cluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker endpoint variant - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>Custom resources are not supported with a resource type. This parameter must specify the <code>OutputValue</code> from the CloudFormation template stack used to access the resources. The unique identifier is defined by the service provider. More information is available in our <a href="https://github.com/aws/aws-auto-scaling-custom-resource">GitHub repository</a>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: <code>arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE</code>.</p></li>
    /// <li>
    /// <p>Lambda provisioned concurrency - The resource type is <code>function</code> and the unique identifier is the function name with a function version or alias name suffix that is not <code>$LATEST</code>. Example: <code>function:my-function:prod</code> or <code>function:my-function:1</code>.</p></li>
    /// <li>
    /// <p>Amazon Keyspaces table - The resource type is <code>table</code> and the unique identifier is the table name. Example: <code>keyspace/mykeyspace/table/mytable</code>.</p></li>
    /// <li>
    /// <p>Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: <code>arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5</code>.</p></li>
    /// <li>
    /// <p>Amazon ElastiCache replication group - The resource type is <code>replication-group</code> and the unique identifier is the replication group name. Example: <code>replication-group/mycluster</code>.</p></li>
    /// <li>
    /// <p>Amazon ElastiCache cache cluster - The resource type is <code>cache-cluster</code> and the unique identifier is the cache cluster name. Example: <code>cache-cluster/mycluster</code>.</p></li>
    /// <li>
    /// <p>Neptune cluster - The resource type is <code>cluster</code> and the unique identifier is the cluster name. Example: <code>cluster:mycluster</code>.</p></li>
    /// <li>
    /// <p>SageMaker serverless endpoint - The resource type is <code>variant</code> and the unique identifier is the resource ID. Example: <code>endpoint/my-end-point/variant/KMeansClustering</code>.</p></li>
    /// <li>
    /// <p>SageMaker inference component - The resource type is <code>inference-component</code> and the unique identifier is the resource ID. Example: <code>inference-component/my-inference-component</code>.</p></li>
    /// <li>
    /// <p>Pool of WorkSpaces - The resource type is <code>workspacespool</code> and the unique identifier is the pool ID. Example: <code>workspacespool/wspool-123456</code>.</p></li>
    /// </ul>
    pub fn get_resource_ids(&self) -> &::std::option::Option<::std::vec::Vec<::std::string::String>> {
        self.inner.get_resource_ids()
    }
    /// <p>The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.</p>
    /// <ul>
    /// <li>
    /// <p><code>ecs:service:DesiredCount</code> - The task count of an ECS service.</p></li>
    /// <li>
    /// <p><code>elasticmapreduce:instancegroup:InstanceCount</code> - The instance count of an EMR Instance Group.</p></li>
    /// <li>
    /// <p><code>ec2:spot-fleet-request:TargetCapacity</code> - The target capacity of a Spot Fleet.</p></li>
    /// <li>
    /// <p><code>appstream:fleet:DesiredCapacity</code> - The capacity of an AppStream 2.0 fleet.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>rds:cluster:ReadReplicaCount</code> - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredInstanceCount</code> - The number of EC2 instances for a SageMaker model endpoint variant.</p></li>
    /// <li>
    /// <p><code>custom-resource:ResourceType:Property</code> - The scalable dimension for a custom resource provided by your own application or service.</p></li>
    /// <li>
    /// <p><code>comprehend:document-classifier-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend document classification endpoint.</p></li>
    /// <li>
    /// <p><code>comprehend:entity-recognizer-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend entity recognizer endpoint.</p></li>
    /// <li>
    /// <p><code>lambda:function:ProvisionedConcurrency</code> - The provisioned concurrency for a Lambda function.</p></li>
    /// <li>
    /// <p><code>cassandra:table:ReadCapacityUnits</code> - The provisioned read capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>cassandra:table:WriteCapacityUnits</code> - The provisioned write capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>kafka:broker-storage:VolumeSize</code> - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.</p></li>
    /// <li>
    /// <p><code>elasticache:cache-cluster:Nodes</code> - The number of nodes for an Amazon ElastiCache cache cluster.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:NodeGroups</code> - The number of node groups for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:Replicas</code> - The number of replicas per node group for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>neptune:cluster:ReadReplicaCount</code> - The count of read replicas in an Amazon Neptune DB cluster.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredProvisionedConcurrency</code> - The provisioned concurrency for a SageMaker serverless endpoint.</p></li>
    /// <li>
    /// <p><code>sagemaker:inference-component:DesiredCopyCount</code> - The number of copies across an endpoint for a SageMaker inference component.</p></li>
    /// <li>
    /// <p><code>workspaces:workspacespool:DesiredUserSessions</code> - The number of user sessions for the WorkSpaces in the pool.</p></li>
    /// </ul>
    pub fn scalable_dimension(mut self, input: crate::types::ScalableDimension) -> Self {
        self.inner = self.inner.scalable_dimension(input);
        self
    }
    /// <p>The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.</p>
    /// <ul>
    /// <li>
    /// <p><code>ecs:service:DesiredCount</code> - The task count of an ECS service.</p></li>
    /// <li>
    /// <p><code>elasticmapreduce:instancegroup:InstanceCount</code> - The instance count of an EMR Instance Group.</p></li>
    /// <li>
    /// <p><code>ec2:spot-fleet-request:TargetCapacity</code> - The target capacity of a Spot Fleet.</p></li>
    /// <li>
    /// <p><code>appstream:fleet:DesiredCapacity</code> - The capacity of an AppStream 2.0 fleet.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>rds:cluster:ReadReplicaCount</code> - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredInstanceCount</code> - The number of EC2 instances for a SageMaker model endpoint variant.</p></li>
    /// <li>
    /// <p><code>custom-resource:ResourceType:Property</code> - The scalable dimension for a custom resource provided by your own application or service.</p></li>
    /// <li>
    /// <p><code>comprehend:document-classifier-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend document classification endpoint.</p></li>
    /// <li>
    /// <p><code>comprehend:entity-recognizer-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend entity recognizer endpoint.</p></li>
    /// <li>
    /// <p><code>lambda:function:ProvisionedConcurrency</code> - The provisioned concurrency for a Lambda function.</p></li>
    /// <li>
    /// <p><code>cassandra:table:ReadCapacityUnits</code> - The provisioned read capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>cassandra:table:WriteCapacityUnits</code> - The provisioned write capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>kafka:broker-storage:VolumeSize</code> - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.</p></li>
    /// <li>
    /// <p><code>elasticache:cache-cluster:Nodes</code> - The number of nodes for an Amazon ElastiCache cache cluster.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:NodeGroups</code> - The number of node groups for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:Replicas</code> - The number of replicas per node group for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>neptune:cluster:ReadReplicaCount</code> - The count of read replicas in an Amazon Neptune DB cluster.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredProvisionedConcurrency</code> - The provisioned concurrency for a SageMaker serverless endpoint.</p></li>
    /// <li>
    /// <p><code>sagemaker:inference-component:DesiredCopyCount</code> - The number of copies across an endpoint for a SageMaker inference component.</p></li>
    /// <li>
    /// <p><code>workspaces:workspacespool:DesiredUserSessions</code> - The number of user sessions for the WorkSpaces in the pool.</p></li>
    /// </ul>
    pub fn set_scalable_dimension(mut self, input: ::std::option::Option<crate::types::ScalableDimension>) -> Self {
        self.inner = self.inner.set_scalable_dimension(input);
        self
    }
    /// <p>The scalable dimension associated with the scalable target. This string consists of the service namespace, resource type, and scaling property. If you specify a scalable dimension, you must also specify a resource ID.</p>
    /// <ul>
    /// <li>
    /// <p><code>ecs:service:DesiredCount</code> - The task count of an ECS service.</p></li>
    /// <li>
    /// <p><code>elasticmapreduce:instancegroup:InstanceCount</code> - The instance count of an EMR Instance Group.</p></li>
    /// <li>
    /// <p><code>ec2:spot-fleet-request:TargetCapacity</code> - The target capacity of a Spot Fleet.</p></li>
    /// <li>
    /// <p><code>appstream:fleet:DesiredCapacity</code> - The capacity of an AppStream 2.0 fleet.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:table:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB table.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:ReadCapacityUnits</code> - The provisioned read capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>dynamodb:index:WriteCapacityUnits</code> - The provisioned write capacity for a DynamoDB global secondary index.</p></li>
    /// <li>
    /// <p><code>rds:cluster:ReadReplicaCount</code> - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredInstanceCount</code> - The number of EC2 instances for a SageMaker model endpoint variant.</p></li>
    /// <li>
    /// <p><code>custom-resource:ResourceType:Property</code> - The scalable dimension for a custom resource provided by your own application or service.</p></li>
    /// <li>
    /// <p><code>comprehend:document-classifier-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend document classification endpoint.</p></li>
    /// <li>
    /// <p><code>comprehend:entity-recognizer-endpoint:DesiredInferenceUnits</code> - The number of inference units for an Amazon Comprehend entity recognizer endpoint.</p></li>
    /// <li>
    /// <p><code>lambda:function:ProvisionedConcurrency</code> - The provisioned concurrency for a Lambda function.</p></li>
    /// <li>
    /// <p><code>cassandra:table:ReadCapacityUnits</code> - The provisioned read capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>cassandra:table:WriteCapacityUnits</code> - The provisioned write capacity for an Amazon Keyspaces table.</p></li>
    /// <li>
    /// <p><code>kafka:broker-storage:VolumeSize</code> - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.</p></li>
    /// <li>
    /// <p><code>elasticache:cache-cluster:Nodes</code> - The number of nodes for an Amazon ElastiCache cache cluster.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:NodeGroups</code> - The number of node groups for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>elasticache:replication-group:Replicas</code> - The number of replicas per node group for an Amazon ElastiCache replication group.</p></li>
    /// <li>
    /// <p><code>neptune:cluster:ReadReplicaCount</code> - The count of read replicas in an Amazon Neptune DB cluster.</p></li>
    /// <li>
    /// <p><code>sagemaker:variant:DesiredProvisionedConcurrency</code> - The provisioned concurrency for a SageMaker serverless endpoint.</p></li>
    /// <li>
    /// <p><code>sagemaker:inference-component:DesiredCopyCount</code> - The number of copies across an endpoint for a SageMaker inference component.</p></li>
    /// <li>
    /// <p><code>workspaces:workspacespool:DesiredUserSessions</code> - The number of user sessions for the WorkSpaces in the pool.</p></li>
    /// </ul>
    pub fn get_scalable_dimension(&self) -> &::std::option::Option<crate::types::ScalableDimension> {
        self.inner.get_scalable_dimension()
    }
    /// <p>The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.</p>
    /// <p>If this parameter is used, the operation returns up to <code>MaxResults</code> results at a time, along with a <code>NextToken</code> value. To get the next set of results, include the <code>NextToken</code> value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a <code>NextToken</code> value, if applicable.</p>
    pub fn max_results(mut self, input: i32) -> Self {
        self.inner = self.inner.max_results(input);
        self
    }
    /// <p>The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.</p>
    /// <p>If this parameter is used, the operation returns up to <code>MaxResults</code> results at a time, along with a <code>NextToken</code> value. To get the next set of results, include the <code>NextToken</code> value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a <code>NextToken</code> value, if applicable.</p>
    pub fn set_max_results(mut self, input: ::std::option::Option<i32>) -> Self {
        self.inner = self.inner.set_max_results(input);
        self
    }
    /// <p>The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.</p>
    /// <p>If this parameter is used, the operation returns up to <code>MaxResults</code> results at a time, along with a <code>NextToken</code> value. To get the next set of results, include the <code>NextToken</code> value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a <code>NextToken</code> value, if applicable.</p>
    pub fn get_max_results(&self) -> &::std::option::Option<i32> {
        self.inner.get_max_results()
    }
    /// <p>The token for the next set of results.</p>
    pub fn next_token(mut self, input: impl ::std::convert::Into<::std::string::String>) -> Self {
        self.inner = self.inner.next_token(input.into());
        self
    }
    /// <p>The token for the next set of results.</p>
    pub fn set_next_token(mut self, input: ::std::option::Option<::std::string::String>) -> Self {
        self.inner = self.inner.set_next_token(input);
        self
    }
    /// <p>The token for the next set of results.</p>
    pub fn get_next_token(&self) -> &::std::option::Option<::std::string::String> {
        self.inner.get_next_token()
    }
}