Struct aws_sdk_applicationautoscaling::operation::describe_scalable_targets::builders::DescribeScalableTargetsInputBuilder

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#[non_exhaustive]
pub struct DescribeScalableTargetsInputBuilder { /* private fields */ }

Expand description

A builder for DescribeScalableTargetsInput.

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impl DescribeScalableTargetsInputBuilder

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pub fn service_namespace(self, input: ServiceNamespace) -> Self

The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

This field is required.

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pub fn set_service_namespace(self, input: Option<ServiceNamespace>) -> Self

The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

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pub fn get_service_namespace(&self) -> &Option<ServiceNamespace>

The namespace of the Amazon Web Services service that provides the resource. For a resource provided by your own application or service, use custom-resource instead.

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pub fn resource_ids(self, input: impl Into<String>) -> Self

Appends an item to resource_ids.

To override the contents of this collection use set_resource_ids.

The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.

ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp.
Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet.
DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table.
DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index.
Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster.
SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
Custom resources are not supported with a resource type. This parameter must specify the OutputValue 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 GitHub repository.
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.
Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5.
Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster.
Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster.
SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
SageMaker inference component - The resource type is inference-component and the unique identifier is the resource ID. Example: inference-component/my-inference-component.

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pub fn set_resource_ids(self, input: Option<Vec<String>>) -> Self

The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.

ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp.
Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet.
DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table.
DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index.
Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster.
SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
Custom resources are not supported with a resource type. This parameter must specify the OutputValue 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 GitHub repository.
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.
Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5.
Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster.
Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster.
SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
SageMaker inference component - The resource type is inference-component and the unique identifier is the resource ID. Example: inference-component/my-inference-component.

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pub fn get_resource_ids(&self) -> &Option<Vec<String>>

The identifier of the resource associated with the scalable target. This string consists of the resource type and unique identifier.

ECS service - The resource type is service and the unique identifier is the cluster name and service name. Example: service/default/sample-webapp.
Spot Fleet - The resource type is spot-fleet-request and the unique identifier is the Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.
EMR cluster - The resource type is instancegroup and the unique identifier is the cluster ID and instance group ID. Example: instancegroup/j-2EEZNYKUA1NTV/ig-1791Y4E1L8YI0.
AppStream 2.0 fleet - The resource type is fleet and the unique identifier is the fleet name. Example: fleet/sample-fleet.
DynamoDB table - The resource type is table and the unique identifier is the table name. Example: table/my-table.
DynamoDB global secondary index - The resource type is index and the unique identifier is the index name. Example: table/my-table/index/my-table-index.
Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:my-db-cluster.
SageMaker endpoint variant - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
Custom resources are not supported with a resource type. This parameter must specify the OutputValue 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 GitHub repository.
Amazon Comprehend document classification endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:document-classifier-endpoint/EXAMPLE.
Amazon Comprehend entity recognizer endpoint - The resource type and unique identifier are specified using the endpoint ARN. Example: arn:aws:comprehend:us-west-2:123456789012:entity-recognizer-endpoint/EXAMPLE.
Lambda provisioned concurrency - The resource type is function and the unique identifier is the function name with a function version or alias name suffix that is not $LATEST. Example: function:my-function:prod or function:my-function:1.
Amazon Keyspaces table - The resource type is table and the unique identifier is the table name. Example: keyspace/mykeyspace/table/mytable.
Amazon MSK cluster - The resource type and unique identifier are specified using the cluster ARN. Example: arn:aws:kafka:us-east-1:123456789012:cluster/demo-cluster-1/6357e0b2-0e6a-4b86-a0b4-70df934c2e31-5.
Amazon ElastiCache replication group - The resource type is replication-group and the unique identifier is the replication group name. Example: replication-group/mycluster.
Neptune cluster - The resource type is cluster and the unique identifier is the cluster name. Example: cluster:mycluster.
SageMaker Serverless endpoint - The resource type is variant and the unique identifier is the resource ID. Example: endpoint/my-end-point/variant/KMeansClustering.
SageMaker inference component - The resource type is inference-component and the unique identifier is the resource ID. Example: inference-component/my-inference-component.

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pub fn scalable_dimension(self, input: ScalableDimension) -> Self

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.

ecs:service:DesiredCount - The desired task count of an ECS service.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant.
custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.
comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.
lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.
cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.
kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
sagemaker:inference-component:DesiredCopyCount - The number of copies across an endpoint for a SageMaker inference component.

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pub fn set_scalable_dimension(self, input: Option<ScalableDimension>) -> Self

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.

ecs:service:DesiredCount - The desired task count of an ECS service.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant.
custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.
comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.
lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.
cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.
kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
sagemaker:inference-component:DesiredCopyCount - The number of copies across an endpoint for a SageMaker inference component.

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pub fn get_scalable_dimension(&self) -> &Option<ScalableDimension>

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.

ecs:service:DesiredCount - The desired task count of an ECS service.
elasticmapreduce:instancegroup:InstanceCount - The instance count of an EMR Instance Group.
ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet.
appstream:fleet:DesiredCapacity - The desired capacity of an AppStream 2.0 fleet.
dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
sagemaker:variant:DesiredInstanceCount - The number of EC2 instances for a SageMaker model endpoint variant.
custom-resource:ResourceType:Property - The scalable dimension for a custom resource provided by your own application or service.
comprehend:document-classifier-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend document classification endpoint.
comprehend:entity-recognizer-endpoint:DesiredInferenceUnits - The number of inference units for an Amazon Comprehend entity recognizer endpoint.
lambda:function:ProvisionedConcurrency - The provisioned concurrency for a Lambda function.
cassandra:table:ReadCapacityUnits - The provisioned read capacity for an Amazon Keyspaces table.
cassandra:table:WriteCapacityUnits - The provisioned write capacity for an Amazon Keyspaces table.
kafka:broker-storage:VolumeSize - The provisioned volume size (in GiB) for brokers in an Amazon MSK cluster.
elasticache:replication-group:NodeGroups - The number of node groups for an Amazon ElastiCache replication group.
elasticache:replication-group:Replicas - The number of replicas per node group for an Amazon ElastiCache replication group.
neptune:cluster:ReadReplicaCount - The count of read replicas in an Amazon Neptune DB cluster.
sagemaker:variant:DesiredProvisionedConcurrency - The provisioned concurrency for a SageMaker Serverless endpoint.
sagemaker:inference-component:DesiredCopyCount - The number of copies across an endpoint for a SageMaker inference component.

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pub fn max_results(self, input: i32) -> Self

The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.

If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.

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pub fn set_max_results(self, input: Option<i32>) -> Self

The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.

If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.

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

The maximum number of scalable targets. This value can be between 1 and 50. The default value is 50.

If this parameter is used, the operation returns up to MaxResults results at a time, along with a NextToken value. To get the next set of results, include the NextToken value in a subsequent call. If this parameter is not used, the operation returns up to 50 results and a NextToken value, if applicable.

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pub fn next_token(self, input: impl Into<String>) -> Self

The token for the next set of results.

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pub fn set_next_token(self, input: Option<String>) -> Self

The token for the next set of results.

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pub fn get_next_token(&self) -> &Option<String>

The token for the next set of results.

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pub fn build(self) -> Result<DescribeScalableTargetsInput, BuildError>

Consumes the builder and constructs a DescribeScalableTargetsInput.

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impl DescribeScalableTargetsInputBuilder

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pub async fn send_with( self, client: &Client ) -> Result<DescribeScalableTargetsOutput, SdkError<DescribeScalableTargetsError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for DescribeScalableTargetsInputBuilder

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fn clone(&self) -> DescribeScalableTargetsInputBuilder

Returns a copy of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for DescribeScalableTargetsInputBuilder

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

Formats the value using the given formatter. Read more

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impl Default for DescribeScalableTargetsInputBuilder

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fn default() -> DescribeScalableTargetsInputBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for DescribeScalableTargetsInputBuilder

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

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

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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.

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impl StructuralPartialEq for DescribeScalableTargetsInputBuilder

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impl UnwindSafe for DescribeScalableTargetsInputBuilder

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where T: 'static + ?Sized,

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where T: ?Sized,

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fn borrow(&self) -> &T

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fn borrow_mut(&mut self) -> &mut T

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impl<T> From<T> for T

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fn from(t: T) -> T

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fn instrument(self, span: Span) -> Instrumented<Self>

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fn into(self) -> U

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fn into_either(self, into_left: bool) -> Either<Self, Self>

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where F: FnOnce(&Self) -> bool,

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