aws_sdk_applicationautoscaling::types::builders

Struct ScalableTargetBuilder

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#[non_exhaustive]
pub struct ScalableTargetBuilder { /* private fields */ }
Expand description

A builder for ScalableTarget.

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impl ScalableTargetBuilder

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

The namespace of the Amazon Web Services service that provides the resource, or a custom-resource.

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, or a custom-resource.

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

The namespace of the Amazon Web Services service that provides the resource, or a custom-resource.

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pub fn resource_id(self, input: impl Into<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/my-cluster/my-service.

  • 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.

  • Amazon ElastiCache cache cluster - The resource type is cache-cluster and the unique identifier is the cache cluster name. Example: cache-cluster/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.

  • Pool of WorkSpaces - The resource type is workspacespool and the unique identifier is the pool ID. Example: workspacespool/wspool-123456.

This field is required.
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pub fn set_resource_id(self, input: Option<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/my-cluster/my-service.

  • 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.

  • Amazon ElastiCache cache cluster - The resource type is cache-cluster and the unique identifier is the cache cluster name. Example: cache-cluster/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.

  • Pool of WorkSpaces - The resource type is workspacespool and the unique identifier is the pool ID. Example: workspacespool/wspool-123456.

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pub fn get_resource_id(&self) -> &Option<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/my-cluster/my-service.

  • 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.

  • Amazon ElastiCache cache cluster - The resource type is cache-cluster and the unique identifier is the cache cluster name. Example: cache-cluster/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.

  • Pool of WorkSpaces - The resource type is workspacespool and the unique identifier is the pool ID. Example: workspacespool/wspool-123456.

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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.

  • ecs:service:DesiredCount - The 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 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:cache-cluster:Nodes - The number of nodes for an Amazon ElastiCache cache 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.

  • workspaces:workspacespool:DesiredUserSessions - The number of user sessions for the WorkSpaces in the pool.

This field is required.
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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.

  • ecs:service:DesiredCount - The 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 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:cache-cluster:Nodes - The number of nodes for an Amazon ElastiCache cache 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.

  • workspaces:workspacespool:DesiredUserSessions - The number of user sessions for the WorkSpaces in the pool.

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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.

  • ecs:service:DesiredCount - The 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 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:cache-cluster:Nodes - The number of nodes for an Amazon ElastiCache cache 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.

  • workspaces:workspacespool:DesiredUserSessions - The number of user sessions for the WorkSpaces in the pool.

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

The minimum value to scale to in response to a scale-in activity.

This field is required.
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pub fn set_min_capacity(self, input: Option<i32>) -> Self

The minimum value to scale to in response to a scale-in activity.

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

The minimum value to scale to in response to a scale-in activity.

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

The maximum value to scale to in response to a scale-out activity.

This field is required.
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pub fn set_max_capacity(self, input: Option<i32>) -> Self

The maximum value to scale to in response to a scale-out activity.

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

The maximum value to scale to in response to a scale-out activity.

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

The predicted capacity of the scalable target.

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

The predicted capacity of the scalable target.

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

The predicted capacity of the scalable target.

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

The ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your behalf.

This field is required.
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pub fn set_role_arn(self, input: Option<String>) -> Self

The ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your behalf.

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

The ARN of an IAM role that allows Application Auto Scaling to modify the scalable target on your behalf.

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pub fn creation_time(self, input: DateTime) -> Self

The Unix timestamp for when the scalable target was created.

This field is required.
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pub fn set_creation_time(self, input: Option<DateTime>) -> Self

The Unix timestamp for when the scalable target was created.

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pub fn get_creation_time(&self) -> &Option<DateTime>

The Unix timestamp for when the scalable target was created.

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pub fn suspended_state(self, input: SuspendedState) -> Self

Specifies whether the scaling activities for a scalable target are in a suspended state.

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pub fn set_suspended_state(self, input: Option<SuspendedState>) -> Self

Specifies whether the scaling activities for a scalable target are in a suspended state.

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pub fn get_suspended_state(&self) -> &Option<SuspendedState>

Specifies whether the scaling activities for a scalable target are in a suspended state.

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

The ARN of the scalable target.

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

The ARN of the scalable target.

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

The ARN of the scalable target.

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

Consumes the builder and constructs a ScalableTarget. This method will fail if any of the following fields are not set:

Trait Implementations§

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impl Clone for ScalableTargetBuilder

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fn clone(&self) -> ScalableTargetBuilder

Returns a duplicate of the value. Read more
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const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for ScalableTargetBuilder

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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 ScalableTargetBuilder

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fn default() -> ScalableTargetBuilder

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

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

Tests for self and other values to be equal, and is used by ==.
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const fn ne(&self, other: &Rhs) -> bool

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 ScalableTargetBuilder

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Returns self with the fg() set to [Color :: BrightBlue].

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Returns self with the fg() set to [Color :: BrightMagenta].

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Returns self with the fg() set to [Color :: BrightCyan].

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Returns self with the fg() set to [Color :: BrightWhite].

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fn bg(&self, value: Color) -> Painted<&T>

Returns a styled value derived from self with the background set to value.

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Returns self with the bg() set to [Color :: Primary].

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Returns self with the bg() set to [Color :: Fixed].

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Returns self with the bg() set to [Color :: Rgb].

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Returns self with the bg() set to [Color :: Black].

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Returns self with the bg() set to [Color :: Red].

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Returns self with the bg() set to [Color :: Green].

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fn on_yellow(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: Yellow].

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fn on_blue(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: Blue].

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fn on_magenta(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: Magenta].

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Returns self with the bg() set to [Color :: Cyan].

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fn on_white(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: White].

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fn on_bright_black(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: BrightBlack].

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fn on_bright_red(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: BrightRed].

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fn on_bright_green(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: BrightGreen].

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fn on_bright_yellow(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: BrightYellow].

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fn on_bright_blue(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: BrightBlue].

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fn on_bright_magenta(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: BrightMagenta].

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fn on_bright_cyan(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: BrightCyan].

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fn on_bright_white(&self) -> Painted<&T>

Returns self with the bg() set to [Color :: BrightWhite].

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fn attr(&self, value: Attribute) -> Painted<&T>

Enables the styling Attribute value.

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Make text bold using using bold().

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Returns self with the attr() set to [Attribute :: Bold].

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Returns self with the attr() set to [Attribute :: Dim].

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Returns self with the attr() set to [Attribute :: Italic].

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Returns self with the attr() set to [Attribute :: Underline].

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Returns self with the attr() set to [Attribute :: Blink].

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Returns self with the attr() set to [Attribute :: RapidBlink].

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Returns self with the attr() set to [Attribute :: Invert].

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Returns self with the attr() set to [Attribute :: Conceal].

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Returns self with the attr() set to [Attribute :: Strike].

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fn quirk(&self, value: Quirk) -> Painted<&T>

Enables the yansi Quirk value.

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Enable wrapping using wrap().

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Returns self with the quirk() set to [Quirk :: Mask].

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Returns self with the quirk() set to [Quirk :: Wrap].

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Returns self with the quirk() set to [Quirk :: Linger].

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fn clear(&self) -> Painted<&T>

👎Deprecated since 1.0.1: renamed to resetting() due to conflicts with Vec::clear(). The clear() method will be removed in a future release.

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fn resetting(&self) -> Painted<&T>

Returns self with the quirk() set to [Quirk :: Resetting].

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Returns self with the quirk() set to [Quirk :: Bright].

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Returns self with the quirk() set to [Quirk :: OnBright].

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fn whenever(&self, value: Condition) -> Painted<&T>

Conditionally enable styling based on whether the Condition value applies. Replaces any previous condition.

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Enable styling painted only when both stdout and stderr are TTYs:

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