:doc:`ApplicationAutoScaling <../../application-autoscaling>` / Client / deregister_scalable_target

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deregister_scalable_target
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.. py:method:: ApplicationAutoScaling.Client.deregister_scalable_target(**kwargs)

  

  Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use `DescribeScalableTargets <https://docs.aws.amazon.com/autoscaling/application/APIReference/API_DescribeScalableTargets.html>`__.

   

  .. note::

    

    Deregistering a scalable target deletes the scaling policies and the scheduled actions that are associated with it.

    

  

  See also: `AWS API Documentation <https://docs.aws.amazon.com/goto/WebAPI/application-autoscaling-2016-02-06/DeregisterScalableTarget>`_  


  **Request Syntax**
  ::

    response = client.deregister_scalable_target(
        ServiceNamespace='ecs'|'elasticmapreduce'|'ec2'|'appstream'|'dynamodb'|'rds'|'sagemaker'|'custom-resource'|'comprehend'|'lambda'|'cassandra'|'kafka'|'elasticache'|'neptune'|'workspaces',
        ResourceId='string',
        ScalableDimension='ecs:service:DesiredCount'|'ec2:spot-fleet-request:TargetCapacity'|'elasticmapreduce:instancegroup:InstanceCount'|'appstream:fleet:DesiredCapacity'|'dynamodb:table:ReadCapacityUnits'|'dynamodb:table:WriteCapacityUnits'|'dynamodb:index:ReadCapacityUnits'|'dynamodb:index:WriteCapacityUnits'|'rds:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredInstanceCount'|'custom-resource:ResourceType:Property'|'comprehend:document-classifier-endpoint:DesiredInferenceUnits'|'comprehend:entity-recognizer-endpoint:DesiredInferenceUnits'|'lambda:function:ProvisionedConcurrency'|'cassandra:table:ReadCapacityUnits'|'cassandra:table:WriteCapacityUnits'|'kafka:broker-storage:VolumeSize'|'elasticache:cache-cluster:Nodes'|'elasticache:replication-group:NodeGroups'|'elasticache:replication-group:Replicas'|'neptune:cluster:ReadReplicaCount'|'sagemaker:variant:DesiredProvisionedConcurrency'|'sagemaker:inference-component:DesiredCopyCount'|'workspaces:workspacespool:DesiredUserSessions'
    )
    
  :type ServiceNamespace: string
  :param ServiceNamespace: **[REQUIRED]** 

    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.

    

  
  :type ResourceId: string
  :param ResourceId: **[REQUIRED]** 

    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 <https://github.com/aws/aws-auto-scaling-custom-resource>`__.
     
    * 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``.
    

    

  
  :type ScalableDimension: string
  :param ScalableDimension: **[REQUIRED]** 

    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.
    

    

  
  
  :rtype: dict
  :returns: 
    
    **Response Syntax**

    
    ::

      {}
      
    **Response Structure**

    

    - *(dict) --* 
  
  **Exceptions**
  
  *   :py:class:`ApplicationAutoScaling.Client.exceptions.ValidationException`

  
  *   :py:class:`ApplicationAutoScaling.Client.exceptions.ObjectNotFoundException`

  
  *   :py:class:`ApplicationAutoScaling.Client.exceptions.ConcurrentUpdateException`

  
  *   :py:class:`ApplicationAutoScaling.Client.exceptions.InternalServiceException`

  

  **Examples**

  This example deregisters a scalable target for an Amazon ECS service called web-app that is running in the default cluster.
  ::

    response = client.deregister_scalable_target(
        ResourceId='service/default/web-app',
        ScalableDimension='ecs:service:DesiredCount',
        ServiceNamespace='ecs',
    )
    
    print(response)

  
  Expected Output:
  ::

    {
        'ResponseMetadata': {
            '...': '...',
        },
    }

  