#[non_exhaustive]pub struct UpdateServiceInput {Show 21 fields
pub cluster: Option<String>,
pub service: Option<String>,
pub desired_count: Option<i32>,
pub task_definition: Option<String>,
pub capacity_provider_strategy: Option<Vec<CapacityProviderStrategyItem>>,
pub deployment_configuration: Option<DeploymentConfiguration>,
pub availability_zone_rebalancing: Option<AvailabilityZoneRebalancing>,
pub network_configuration: Option<NetworkConfiguration>,
pub placement_constraints: Option<Vec<PlacementConstraint>>,
pub placement_strategy: Option<Vec<PlacementStrategy>>,
pub platform_version: Option<String>,
pub force_new_deployment: Option<bool>,
pub health_check_grace_period_seconds: Option<i32>,
pub enable_execute_command: Option<bool>,
pub enable_ecs_managed_tags: Option<bool>,
pub load_balancers: Option<Vec<LoadBalancer>>,
pub propagate_tags: Option<PropagateTags>,
pub service_registries: Option<Vec<ServiceRegistry>>,
pub service_connect_configuration: Option<ServiceConnectConfiguration>,
pub volume_configurations: Option<Vec<ServiceVolumeConfiguration>>,
pub vpc_lattice_configurations: Option<Vec<VpcLatticeConfiguration>>,
}
Fields (Non-exhaustive)§
This struct is marked as non-exhaustive
Struct { .. }
syntax; cannot be matched against without a wildcard ..
; and struct update syntax will not work.cluster: Option<String>
The short name or full Amazon Resource Name (ARN) of the cluster that your service runs on. If you do not specify a cluster, the default cluster is assumed.
You can't change the cluster name.
service: Option<String>
The name of the service to update.
desired_count: Option<i32>
The number of instantiations of the task to place and keep running in your service.
task_definition: Option<String>
The family
and revision
(family:revision
) or full ARN of the task definition to run in your service. If a revision
is not specified, the latest ACTIVE
revision is used. If you modify the task definition with UpdateService
, Amazon ECS spawns a task with the new version of the task definition and then stops an old task after the new version is running.
capacity_provider_strategy: Option<Vec<CapacityProviderStrategyItem>>
The details of a capacity provider strategy. You can set a capacity provider when you create a cluster, run a task, or update a service.
When you use Fargate, the capacity providers are FARGATE
or FARGATE_SPOT
.
When you use Amazon EC2, the capacity providers are Auto Scaling groups.
You can change capacity providers for rolling deployments and blue/green deployments.
The following list provides the valid transitions:
-
Update the Fargate launch type to an Auto Scaling group capacity provider.
-
Update the Amazon EC2 launch type to a Fargate capacity provider.
-
Update the Fargate capacity provider to an Auto Scaling group capacity provider.
-
Update the Amazon EC2 capacity provider to a Fargate capacity provider.
-
Update the Auto Scaling group or Fargate capacity provider back to the launch type.
Pass an empty list in the
capacityProviderStrategy
parameter.
For information about Amazon Web Services CDK considerations, see Amazon Web Services CDK considerations.
deployment_configuration: Option<DeploymentConfiguration>
Optional deployment parameters that control how many tasks run during the deployment and the ordering of stopping and starting tasks.
availability_zone_rebalancing: Option<AvailabilityZoneRebalancing>
Indicates whether to use Availability Zone rebalancing for the service.
For more information, see Balancing an Amazon ECS service across Availability Zones in the Amazon Elastic Container Service Developer Guide .
network_configuration: Option<NetworkConfiguration>
An object representing the network configuration for the service.
placement_constraints: Option<Vec<PlacementConstraint>>
An array of task placement constraint objects to update the service to use. If no value is specified, the existing placement constraints for the service will remain unchanged. If this value is specified, it will override any existing placement constraints defined for the service. To remove all existing placement constraints, specify an empty array.
You can specify a maximum of 10 constraints for each task. This limit includes constraints in the task definition and those specified at runtime.
placement_strategy: Option<Vec<PlacementStrategy>>
The task placement strategy objects to update the service to use. If no value is specified, the existing placement strategy for the service will remain unchanged. If this value is specified, it will override the existing placement strategy defined for the service. To remove an existing placement strategy, specify an empty object.
You can specify a maximum of five strategy rules for each service.
platform_version: Option<String>
The platform version that your tasks in the service run on. A platform version is only specified for tasks using the Fargate launch type. If a platform version is not specified, the LATEST
platform version is used. For more information, see Fargate Platform Versions in the Amazon Elastic Container Service Developer Guide.
force_new_deployment: Option<bool>
Determines whether to force a new deployment of the service. By default, deployments aren't forced. You can use this option to start a new deployment with no service definition changes. For example, you can update a service's tasks to use a newer Docker image with the same image/tag combination (my_image:latest
) or to roll Fargate tasks onto a newer platform version.
health_check_grace_period_seconds: Option<i32>
The period of time, in seconds, that the Amazon ECS service scheduler ignores unhealthy Elastic Load Balancing, VPC Lattice, and container health checks after a task has first started. If you don't specify a health check grace period value, the default value of 0
is used. If you don't use any of the health checks, then healthCheckGracePeriodSeconds
is unused.
If your service's tasks take a while to start and respond to health checks, you can specify a health check grace period of up to 2,147,483,647 seconds (about 69 years). During that time, the Amazon ECS service scheduler ignores health check status. This grace period can prevent the service scheduler from marking tasks as unhealthy and stopping them before they have time to come up.
enable_execute_command: Option<bool>
If true
, this enables execute command functionality on all task containers.
If you do not want to override the value that was set when the service was created, you can set this to null
when performing this action.
Determines whether to turn on Amazon ECS managed tags for the tasks in the service. For more information, see Tagging Your Amazon ECS Resources in the Amazon Elastic Container Service Developer Guide.
Only tasks launched after the update will reflect the update. To update the tags on all tasks, set forceNewDeployment
to true
, so that Amazon ECS starts new tasks with the updated tags.
load_balancers: Option<Vec<LoadBalancer>>
You must have a service-linked role when you update this property
A list of Elastic Load Balancing load balancer objects. It contains the load balancer name, the container name, and the container port to access from the load balancer. The container name is as it appears in a container definition.
When you add, update, or remove a load balancer configuration, Amazon ECS starts new tasks with the updated Elastic Load Balancing configuration, and then stops the old tasks when the new tasks are running.
For services that use rolling updates, you can add, update, or remove Elastic Load Balancing target groups. You can update from a single target group to multiple target groups and from multiple target groups to a single target group.
For services that use blue/green deployments, you can update Elastic Load Balancing target groups by using CreateDeployment
through CodeDeploy. Note that multiple target groups are not supported for blue/green deployments. For more information see Register multiple target groups with a service in the Amazon Elastic Container Service Developer Guide.
For services that use the external deployment controller, you can add, update, or remove load balancers by using CreateTaskSet. Note that multiple target groups are not supported for external deployments. For more information see Register multiple target groups with a service in the Amazon Elastic Container Service Developer Guide.
You can remove existing loadBalancers
by passing an empty list.
Determines whether to propagate the tags from the task definition or the service to the task. If no value is specified, the tags aren't propagated.
Only tasks launched after the update will reflect the update. To update the tags on all tasks, set forceNewDeployment
to true
, so that Amazon ECS starts new tasks with the updated tags.
service_registries: Option<Vec<ServiceRegistry>>
You must have a service-linked role when you update this property.
For more information about the role see the CreateService
request parameter role
.
The details for the service discovery registries to assign to this service. For more information, see Service Discovery.
When you add, update, or remove the service registries configuration, Amazon ECS starts new tasks with the updated service registries configuration, and then stops the old tasks when the new tasks are running.
You can remove existing serviceRegistries
by passing an empty list.
service_connect_configuration: Option<ServiceConnectConfiguration>
The configuration for this service to discover and connect to services, and be discovered by, and connected from, other services within a namespace.
Tasks that run in a namespace can use short names to connect to services in the namespace. Tasks can connect to services across all of the clusters in the namespace. Tasks connect through a managed proxy container that collects logs and metrics for increased visibility. Only the tasks that Amazon ECS services create are supported with Service Connect. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide.
volume_configurations: Option<Vec<ServiceVolumeConfiguration>>
The details of the volume that was configuredAtLaunch
. You can configure the size, volumeType, IOPS, throughput, snapshot and encryption in ServiceManagedEBSVolumeConfiguration. The name
of the volume must match the name
from the task definition. If set to null, no new deployment is triggered. Otherwise, if this configuration differs from the existing one, it triggers a new deployment.
vpc_lattice_configurations: Option<Vec<VpcLatticeConfiguration>>
An object representing the VPC Lattice configuration for the service being updated.
Implementations§
Source§impl UpdateServiceInput
impl UpdateServiceInput
Sourcepub fn cluster(&self) -> Option<&str>
pub fn cluster(&self) -> Option<&str>
The short name or full Amazon Resource Name (ARN) of the cluster that your service runs on. If you do not specify a cluster, the default cluster is assumed.
You can't change the cluster name.
Sourcepub fn desired_count(&self) -> Option<i32>
pub fn desired_count(&self) -> Option<i32>
The number of instantiations of the task to place and keep running in your service.
Sourcepub fn task_definition(&self) -> Option<&str>
pub fn task_definition(&self) -> Option<&str>
The family
and revision
(family:revision
) or full ARN of the task definition to run in your service. If a revision
is not specified, the latest ACTIVE
revision is used. If you modify the task definition with UpdateService
, Amazon ECS spawns a task with the new version of the task definition and then stops an old task after the new version is running.
Sourcepub fn capacity_provider_strategy(&self) -> &[CapacityProviderStrategyItem]
pub fn capacity_provider_strategy(&self) -> &[CapacityProviderStrategyItem]
The details of a capacity provider strategy. You can set a capacity provider when you create a cluster, run a task, or update a service.
When you use Fargate, the capacity providers are FARGATE
or FARGATE_SPOT
.
When you use Amazon EC2, the capacity providers are Auto Scaling groups.
You can change capacity providers for rolling deployments and blue/green deployments.
The following list provides the valid transitions:
-
Update the Fargate launch type to an Auto Scaling group capacity provider.
-
Update the Amazon EC2 launch type to a Fargate capacity provider.
-
Update the Fargate capacity provider to an Auto Scaling group capacity provider.
-
Update the Amazon EC2 capacity provider to a Fargate capacity provider.
-
Update the Auto Scaling group or Fargate capacity provider back to the launch type.
Pass an empty list in the
capacityProviderStrategy
parameter.
For information about Amazon Web Services CDK considerations, see Amazon Web Services CDK considerations.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .capacity_provider_strategy.is_none()
.
Sourcepub fn deployment_configuration(&self) -> Option<&DeploymentConfiguration>
pub fn deployment_configuration(&self) -> Option<&DeploymentConfiguration>
Optional deployment parameters that control how many tasks run during the deployment and the ordering of stopping and starting tasks.
Sourcepub fn availability_zone_rebalancing(
&self,
) -> Option<&AvailabilityZoneRebalancing>
pub fn availability_zone_rebalancing( &self, ) -> Option<&AvailabilityZoneRebalancing>
Indicates whether to use Availability Zone rebalancing for the service.
For more information, see Balancing an Amazon ECS service across Availability Zones in the Amazon Elastic Container Service Developer Guide .
Sourcepub fn network_configuration(&self) -> Option<&NetworkConfiguration>
pub fn network_configuration(&self) -> Option<&NetworkConfiguration>
An object representing the network configuration for the service.
Sourcepub fn placement_constraints(&self) -> &[PlacementConstraint]
pub fn placement_constraints(&self) -> &[PlacementConstraint]
An array of task placement constraint objects to update the service to use. If no value is specified, the existing placement constraints for the service will remain unchanged. If this value is specified, it will override any existing placement constraints defined for the service. To remove all existing placement constraints, specify an empty array.
You can specify a maximum of 10 constraints for each task. This limit includes constraints in the task definition and those specified at runtime.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .placement_constraints.is_none()
.
Sourcepub fn placement_strategy(&self) -> &[PlacementStrategy]
pub fn placement_strategy(&self) -> &[PlacementStrategy]
The task placement strategy objects to update the service to use. If no value is specified, the existing placement strategy for the service will remain unchanged. If this value is specified, it will override the existing placement strategy defined for the service. To remove an existing placement strategy, specify an empty object.
You can specify a maximum of five strategy rules for each service.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .placement_strategy.is_none()
.
Sourcepub fn platform_version(&self) -> Option<&str>
pub fn platform_version(&self) -> Option<&str>
The platform version that your tasks in the service run on. A platform version is only specified for tasks using the Fargate launch type. If a platform version is not specified, the LATEST
platform version is used. For more information, see Fargate Platform Versions in the Amazon Elastic Container Service Developer Guide.
Sourcepub fn force_new_deployment(&self) -> Option<bool>
pub fn force_new_deployment(&self) -> Option<bool>
Determines whether to force a new deployment of the service. By default, deployments aren't forced. You can use this option to start a new deployment with no service definition changes. For example, you can update a service's tasks to use a newer Docker image with the same image/tag combination (my_image:latest
) or to roll Fargate tasks onto a newer platform version.
Sourcepub fn health_check_grace_period_seconds(&self) -> Option<i32>
pub fn health_check_grace_period_seconds(&self) -> Option<i32>
The period of time, in seconds, that the Amazon ECS service scheduler ignores unhealthy Elastic Load Balancing, VPC Lattice, and container health checks after a task has first started. If you don't specify a health check grace period value, the default value of 0
is used. If you don't use any of the health checks, then healthCheckGracePeriodSeconds
is unused.
If your service's tasks take a while to start and respond to health checks, you can specify a health check grace period of up to 2,147,483,647 seconds (about 69 years). During that time, the Amazon ECS service scheduler ignores health check status. This grace period can prevent the service scheduler from marking tasks as unhealthy and stopping them before they have time to come up.
Sourcepub fn enable_execute_command(&self) -> Option<bool>
pub fn enable_execute_command(&self) -> Option<bool>
If true
, this enables execute command functionality on all task containers.
If you do not want to override the value that was set when the service was created, you can set this to null
when performing this action.
Determines whether to turn on Amazon ECS managed tags for the tasks in the service. For more information, see Tagging Your Amazon ECS Resources in the Amazon Elastic Container Service Developer Guide.
Only tasks launched after the update will reflect the update. To update the tags on all tasks, set forceNewDeployment
to true
, so that Amazon ECS starts new tasks with the updated tags.
Sourcepub fn load_balancers(&self) -> &[LoadBalancer]
pub fn load_balancers(&self) -> &[LoadBalancer]
You must have a service-linked role when you update this property
A list of Elastic Load Balancing load balancer objects. It contains the load balancer name, the container name, and the container port to access from the load balancer. The container name is as it appears in a container definition.
When you add, update, or remove a load balancer configuration, Amazon ECS starts new tasks with the updated Elastic Load Balancing configuration, and then stops the old tasks when the new tasks are running.
For services that use rolling updates, you can add, update, or remove Elastic Load Balancing target groups. You can update from a single target group to multiple target groups and from multiple target groups to a single target group.
For services that use blue/green deployments, you can update Elastic Load Balancing target groups by using CreateDeployment
through CodeDeploy. Note that multiple target groups are not supported for blue/green deployments. For more information see Register multiple target groups with a service in the Amazon Elastic Container Service Developer Guide.
For services that use the external deployment controller, you can add, update, or remove load balancers by using CreateTaskSet. Note that multiple target groups are not supported for external deployments. For more information see Register multiple target groups with a service in the Amazon Elastic Container Service Developer Guide.
You can remove existing loadBalancers
by passing an empty list.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .load_balancers.is_none()
.
Determines whether to propagate the tags from the task definition or the service to the task. If no value is specified, the tags aren't propagated.
Only tasks launched after the update will reflect the update. To update the tags on all tasks, set forceNewDeployment
to true
, so that Amazon ECS starts new tasks with the updated tags.
Sourcepub fn service_registries(&self) -> &[ServiceRegistry]
pub fn service_registries(&self) -> &[ServiceRegistry]
You must have a service-linked role when you update this property.
For more information about the role see the CreateService
request parameter role
.
The details for the service discovery registries to assign to this service. For more information, see Service Discovery.
When you add, update, or remove the service registries configuration, Amazon ECS starts new tasks with the updated service registries configuration, and then stops the old tasks when the new tasks are running.
You can remove existing serviceRegistries
by passing an empty list.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .service_registries.is_none()
.
Sourcepub fn service_connect_configuration(
&self,
) -> Option<&ServiceConnectConfiguration>
pub fn service_connect_configuration( &self, ) -> Option<&ServiceConnectConfiguration>
The configuration for this service to discover and connect to services, and be discovered by, and connected from, other services within a namespace.
Tasks that run in a namespace can use short names to connect to services in the namespace. Tasks can connect to services across all of the clusters in the namespace. Tasks connect through a managed proxy container that collects logs and metrics for increased visibility. Only the tasks that Amazon ECS services create are supported with Service Connect. For more information, see Service Connect in the Amazon Elastic Container Service Developer Guide.
Sourcepub fn volume_configurations(&self) -> &[ServiceVolumeConfiguration]
pub fn volume_configurations(&self) -> &[ServiceVolumeConfiguration]
The details of the volume that was configuredAtLaunch
. You can configure the size, volumeType, IOPS, throughput, snapshot and encryption in ServiceManagedEBSVolumeConfiguration. The name
of the volume must match the name
from the task definition. If set to null, no new deployment is triggered. Otherwise, if this configuration differs from the existing one, it triggers a new deployment.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .volume_configurations.is_none()
.
Sourcepub fn vpc_lattice_configurations(&self) -> &[VpcLatticeConfiguration]
pub fn vpc_lattice_configurations(&self) -> &[VpcLatticeConfiguration]
An object representing the VPC Lattice configuration for the service being updated.
If no value was sent for this field, a default will be set. If you want to determine if no value was sent, use .vpc_lattice_configurations.is_none()
.
Source§impl UpdateServiceInput
impl UpdateServiceInput
Sourcepub fn builder() -> UpdateServiceInputBuilder
pub fn builder() -> UpdateServiceInputBuilder
Creates a new builder-style object to manufacture UpdateServiceInput
.
Trait Implementations§
Source§impl Clone for UpdateServiceInput
impl Clone for UpdateServiceInput
Source§fn clone(&self) -> UpdateServiceInput
fn clone(&self) -> UpdateServiceInput
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read moreSource§impl Debug for UpdateServiceInput
impl Debug for UpdateServiceInput
Source§impl PartialEq for UpdateServiceInput
impl PartialEq for UpdateServiceInput
impl StructuralPartialEq for UpdateServiceInput
Auto Trait Implementations§
impl Freeze for UpdateServiceInput
impl RefUnwindSafe for UpdateServiceInput
impl Send for UpdateServiceInput
impl Sync for UpdateServiceInput
impl Unpin for UpdateServiceInput
impl UnwindSafe for UpdateServiceInput
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