[ aws . application-autoscaling ]
Deletes the specified scheduled action for an Application Auto Scaling scalable target.
For more information, see Delete a scheduled action in the Application Auto Scaling User Guide .
See also: AWS API Documentation
delete-scheduled-action
--service-namespace <value>
--scheduled-action-name <value>
--resource-id <value>
--scalable-dimension <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]
[--debug]
[--endpoint-url <value>]
[--no-verify-ssl]
[--no-paginate]
[--output <value>]
[--query <value>]
[--profile <value>]
[--region <value>]
[--version <value>]
[--color <value>]
[--no-sign-request]
[--ca-bundle <value>]
[--cli-read-timeout <value>]
[--cli-connect-timeout <value>]
[--cli-binary-format <value>]
[--no-cli-pager]
[--cli-auto-prompt]
[--no-cli-auto-prompt]
--service-namespace
(string)
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.Possible values:
ecs
elasticmapreduce
ec2
appstream
dynamodb
rds
sagemaker
custom-resource
comprehend
lambda
cassandra
kafka
elasticache
neptune
workspaces
--scheduled-action-name
(string)
The name of the scheduled action.
--resource-id
(string)
The identifier of the resource associated with the scheduled action. 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
orfunction: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
.- Pool of WorkSpaces - The resource type is
workspacespool
and the unique identifier is the pool ID. Example:workspacespool/wspool-123456
.
--scalable-dimension
(string)
The scalable dimension. 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: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.Possible values:
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:replication-group:NodeGroups
elasticache:replication-group:Replicas
neptune:cluster:ReadReplicaCount
sagemaker:variant:DesiredProvisionedConcurrency
sagemaker:inference-component:DesiredCopyCount
workspaces:workspacespool:DesiredUserSessions
--cli-input-json
| --cli-input-yaml
(string)
Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton
. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml
.
--generate-cli-skeleton
(string)
Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input
, prints a sample input JSON that can be used as an argument for --cli-input-json
. Similarly, if provided yaml-input
it will print a sample input YAML that can be used with --cli-input-yaml
. If provided with the value output
, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.
--debug
(boolean)
Turn on debug logging.
--endpoint-url
(string)
Override command’s default URL with the given URL.
--no-verify-ssl
(boolean)
By default, the AWS CLI uses SSL when communicating with AWS services. For each SSL connection, the AWS CLI will verify SSL certificates. This option overrides the default behavior of verifying SSL certificates.
--no-paginate
(boolean)
Disable automatic pagination. If automatic pagination is disabled, the AWS CLI will only make one call, for the first page of results.
--output
(string)
The formatting style for command output.
--query
(string)
A JMESPath query to use in filtering the response data.
--profile
(string)
Use a specific profile from your credential file.
--region
(string)
The region to use. Overrides config/env settings.
--version
(string)
Display the version of this tool.
--color
(string)
Turn on/off color output.
--no-sign-request
(boolean)
Do not sign requests. Credentials will not be loaded if this argument is provided.
--ca-bundle
(string)
The CA certificate bundle to use when verifying SSL certificates. Overrides config/env settings.
--cli-read-timeout
(int)
The maximum socket read time in seconds. If the value is set to 0, the socket read will be blocking and not timeout. The default value is 60 seconds.
--cli-connect-timeout
(int)
The maximum socket connect time in seconds. If the value is set to 0, the socket connect will be blocking and not timeout. The default value is 60 seconds.
--cli-binary-format
(string)
The formatting style to be used for binary blobs. The default format is base64. The base64 format expects binary blobs to be provided as a base64 encoded string. The raw-in-base64-out format preserves compatibility with AWS CLI V1 behavior and binary values must be passed literally. When providing contents from a file that map to a binary blob fileb://
will always be treated as binary and use the file contents directly regardless of the cli-binary-format
setting. When using file://
the file contents will need to properly formatted for the configured cli-binary-format
.
--no-cli-pager
(boolean)
Disable cli pager for output.
--cli-auto-prompt
(boolean)
Automatically prompt for CLI input parameters.
--no-cli-auto-prompt
(boolean)
Disable automatically prompt for CLI input parameters.
To use the following examples, you must have the AWS CLI installed and configured. See the Getting started guide in the AWS CLI User Guide for more information.
Unless otherwise stated, all examples have unix-like quotation rules. These examples will need to be adapted to your terminal’s quoting rules. See Using quotation marks with strings in the AWS CLI User Guide .
To delete a scheduled action
The follwing delete-scheduled-action
example deletes the specified scheduled action from the specified Amazon AppStream 2.0 fleet:
aws application-autoscaling delete-scheduled-action \
--service-namespace appstream \
--scalable-dimension appstream:fleet:DesiredCapacity \
--resource-id fleet/sample-fleet \
--scheduled-action-name my-recurring-action
This command produces no output.
For more information, see Scheduled Scaling in the Application Auto Scaling User Guide.
None