paws.compute (version 0.1.0)

ecs_delete_service: Deletes a specified service within a cluster

Description

Deletes a specified service within a cluster. You can delete a service if you have no running tasks in it and the desired task count is zero. If the service is actively maintaining tasks, you cannot delete it, and you must update the service to a desired task count of zero. For more information, see UpdateService.

Usage

ecs_delete_service(cluster, service, force)

Arguments

cluster

The short name or full Amazon Resource Name (ARN) of the cluster that hosts the service to delete. If you do not specify a cluster, the default cluster is assumed.

service

[required] The name of the service to delete.

force

If true, allows you to delete a service even if it has not been scaled down to zero tasks. It is only necessary to use this if the service is using the REPLICA scheduling strategy.

Request syntax

svc$delete_service(
  cluster = "string",
  service = "string",
  force = TRUE|FALSE
)

Details

When you delete a service, if there are still running tasks that require cleanup, the service status moves from ACTIVE to DRAINING, and the service is no longer visible in the console or in the ListServices API operation. After the tasks have stopped, then the service status moves from DRAINING to INACTIVE. Services in the DRAINING or INACTIVE status can still be viewed with the DescribeServices API operation. However, in the future, INACTIVE services may be cleaned up and purged from Amazon ECS record keeping, and DescribeServices calls on those services return a ServiceNotFoundException error.

If you attempt to create a new service with the same name as an existing service in either ACTIVE or DRAINING status, you receive an error.

Examples

Run this code
# NOT RUN {
# This example deletes the my-http-service service. The service must have
# a desired count and running count of 0 before you can delete it.
# }
# NOT RUN {
svc$delete_service(
  service = "my-http-service"
)
# }
# NOT RUN {
# }

Run the code above in your browser using DataLab