CfnSchedule
- class aws_cdk.aws_scheduler.CfnSchedule(scope, id, *, flexible_time_window, schedule_expression, target, description=None, end_date=None, group_name=None, kms_key_arn=None, name=None, schedule_expression_timezone=None, start_date=None, state=None)
Bases:
CfnResource
A CloudFormation
AWS::Scheduler::Schedule
.A schedule is the main resource you create, configure, and manage using Amazon EventBridge Scheduler.
Every schedule has a schedule expression that determines when, and with what frequency, the schedule runs. EventBridge Scheduler supports three types of schedules: rate, cron, and one-time schedules. For more information about different schedule types, see Schedule types in the EventBridge Scheduler User Guide .
When you create a schedule, you configure a target for the schedule to invoke. A target is an API operation that EventBridge Scheduler calls on your behalf every time your schedule runs. EventBridge Scheduler supports two types of targets: templated targets invoke common API operations across a core groups of services, and customizeable universal targets that you can use to call more than 6,000 operations across over 270 services. For more information about configuring targets, see Managing targets in the EventBridge Scheduler User Guide .
For more information about managing schedules, changing the schedule state, setting up flexible time windows, and configuring a dead-letter queue for a schedule, see Managing a schedule in the EventBridge Scheduler User Guide .
- CloudformationResource:
AWS::Scheduler::Schedule
- Link:
http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-scheduler-schedule.html
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler # tags: Any cfn_schedule = scheduler.CfnSchedule(self, "MyCfnSchedule", flexible_time_window=scheduler.CfnSchedule.FlexibleTimeWindowProperty( mode="mode", # the properties below are optional maximum_window_in_minutes=123 ), schedule_expression="scheduleExpression", target=scheduler.CfnSchedule.TargetProperty( arn="arn", role_arn="roleArn", # the properties below are optional dead_letter_config=scheduler.CfnSchedule.DeadLetterConfigProperty( arn="arn" ), ecs_parameters=scheduler.CfnSchedule.EcsParametersProperty( task_definition_arn="taskDefinitionArn", # the properties below are optional capacity_provider_strategy=[scheduler.CfnSchedule.CapacityProviderStrategyItemProperty( capacity_provider="capacityProvider", # the properties below are optional base=123, weight=123 )], enable_ecs_managed_tags=False, enable_execute_command=False, group="group", launch_type="launchType", network_configuration=scheduler.CfnSchedule.NetworkConfigurationProperty( awsvpc_configuration=scheduler.CfnSchedule.AwsVpcConfigurationProperty( subnets=["subnets"], # the properties below are optional assign_public_ip="assignPublicIp", security_groups=["securityGroups"] ) ), placement_constraints=[scheduler.CfnSchedule.PlacementConstraintProperty( expression="expression", type="type" )], placement_strategy=[scheduler.CfnSchedule.PlacementStrategyProperty( field="field", type="type" )], platform_version="platformVersion", propagate_tags="propagateTags", reference_id="referenceId", tags=tags, task_count=123 ), event_bridge_parameters=scheduler.CfnSchedule.EventBridgeParametersProperty( detail_type="detailType", source="source" ), input="input", kinesis_parameters=scheduler.CfnSchedule.KinesisParametersProperty( partition_key="partitionKey" ), retry_policy=scheduler.CfnSchedule.RetryPolicyProperty( maximum_event_age_in_seconds=123, maximum_retry_attempts=123 ), sage_maker_pipeline_parameters=scheduler.CfnSchedule.SageMakerPipelineParametersProperty( pipeline_parameter_list=[scheduler.CfnSchedule.SageMakerPipelineParameterProperty( name="name", value="value" )] ), sqs_parameters=scheduler.CfnSchedule.SqsParametersProperty( message_group_id="messageGroupId" ) ), # the properties below are optional description="description", end_date="endDate", group_name="groupName", kms_key_arn="kmsKeyArn", name="name", schedule_expression_timezone="scheduleExpressionTimezone", start_date="startDate", state="state" )
Create a new
AWS::Scheduler::Schedule
.- Parameters:
scope (
Construct
) –scope in which this resource is defined.
id (
str
) –scoped id of the resource.
flexible_time_window (
Union
[FlexibleTimeWindowProperty
,Dict
[str
,Any
],IResolvable
]) – Allows you to configure a time window during which EventBridge Scheduler invokes the schedule.schedule_expression (
str
) – The expression that defines when the schedule runs. The following formats are supported. -at
expression -at(yyyy-mm-ddThh:mm:ss)
-rate
expression -rate(value unit)
-cron
expression -cron(fields)
You can useat
expressions to create one-time schedules that invoke a target once, at the time and in the time zone, that you specify. You can userate
andcron
expressions to create recurring schedules. Rate-based schedules are useful when you want to invoke a target at regular intervals, such as every 15 minutes or every five days. Cron-based schedules are useful when you want to invoke a target periodically at a specific time, such as at 8:00 am (UTC+0) every 1st day of the month. Acron
expression consists of six fields separated by white spaces:(minutes hours day_of_month month day_of_week year)
. Arate
expression consists of a value as a positive integer, and a unit with the following options:minute
|minutes
|hour
|hours
|day
|days
For more information and examples, see Schedule types on EventBridge Scheduler in the EventBridge Scheduler User Guide .target (
Union
[IResolvable
,TargetProperty
,Dict
[str
,Any
]]) – The schedule’s target details.description (
Optional
[str
]) – The description you specify for the schedule.end_date (
Optional
[str
]) – The date, in UTC, before which the schedule can invoke its target. Depending on the schedule’s recurrence expression, invocations might stop on, or before, theEndDate
you specify. EventBridge Scheduler ignoresEndDate
for one-time schedules.group_name (
Optional
[str
]) – The name of the schedule group associated with this schedule.kms_key_arn (
Optional
[str
]) – The Amazon Resource Name (ARN) for the customer managed KMS key that EventBridge Scheduler will use to encrypt and decrypt your data.name (
Optional
[str
]) – The name of the schedule.schedule_expression_timezone (
Optional
[str
]) – The timezone in which the scheduling expression is evaluated.start_date (
Optional
[str
]) – The date, in UTC, after which the schedule can begin invoking its target. Depending on the schedule’s recurrence expression, invocations might occur on, or after, theStartDate
you specify. EventBridge Scheduler ignoresStartDate
for one-time schedules.state (
Optional
[str
]) – Specifies whether the schedule is enabled or disabled. Allowed Values :ENABLED
|DISABLED
Methods
- add_deletion_override(path)
Syntactic sugar for
addOverride(path, undefined)
.- Parameters:
path (
str
) – The path of the value to delete.- Return type:
None
- add_depends_on(target)
Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
This can be used for resources across stacks (or nested stack) boundaries and the dependency will automatically be transferred to the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- add_override(path, value)
Adds an override to the synthesized CloudFormation resource.
To add a property override, either use
addPropertyOverride
or prefixpath
with “Properties.” (i.e.Properties.TopicName
).If the override is nested, separate each nested level using a dot (.) in the path parameter. If there is an array as part of the nesting, specify the index in the path.
To include a literal
.
in the property name, prefix with a\
. In most programming languages you will need to write this as"\\."
because the\
itself will need to be escaped.For example:
cfn_resource.add_override("Properties.GlobalSecondaryIndexes.0.Projection.NonKeyAttributes", ["myattribute"]) cfn_resource.add_override("Properties.GlobalSecondaryIndexes.1.ProjectionType", "INCLUDE")
would add the overrides Example:
"Properties": { "GlobalSecondaryIndexes": [ { "Projection": { "NonKeyAttributes": [ "myattribute" ] ... } ... }, { "ProjectionType": "INCLUDE" ... }, ] ... }
The
value
argument toaddOverride
will not be processed or translated in any way. Pass raw JSON values in here with the correct capitalization for CloudFormation. If you pass CDK classes or structs, they will be rendered with lowercased key names, and CloudFormation will reject the template.- Parameters:
path (
str
) –The path of the property, you can use dot notation to override values in complex types. Any intermdediate keys will be created as needed.
value (
Any
) –The value. Could be primitive or complex.
- Return type:
None
- add_property_deletion_override(property_path)
Adds an override that deletes the value of a property from the resource definition.
- Parameters:
property_path (
str
) – The path to the property.- Return type:
None
- add_property_override(property_path, value)
Adds an override to a resource property.
Syntactic sugar for
addOverride("Properties.<...>", value)
.- Parameters:
property_path (
str
) – The path of the property.value (
Any
) – The value.
- Return type:
None
- apply_removal_policy(policy=None, *, apply_to_update_replace_policy=None, default=None)
Sets the deletion policy of the resource based on the removal policy specified.
The Removal Policy controls what happens to this resource when it stops being managed by CloudFormation, either because you’ve removed it from the CDK application or because you’ve made a change that requires the resource to be replaced.
The resource can be deleted (
RemovalPolicy.DESTROY
), or left in your AWS account for data recovery and cleanup later (RemovalPolicy.RETAIN
).- Parameters:
policy (
Optional
[RemovalPolicy
]) –apply_to_update_replace_policy (
Optional
[bool
]) – Apply the same deletion policy to the resource’s “UpdateReplacePolicy”. Default: truedefault (
Optional
[RemovalPolicy
]) – The default policy to apply in case the removal policy is not defined. Default: - Default value is resource specific. To determine the default value for a resoure, please consult that specific resource’s documentation.
- Return type:
None
- get_att(attribute_name)
Returns a token for an runtime attribute of this resource.
Ideally, use generated attribute accessors (e.g.
resource.arn
), but this can be used for future compatibility in case there is no generated attribute.- Parameters:
attribute_name (
str
) – The name of the attribute.- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
Note that this is a different set of metadata from CDK node metadata; this metadata ends up in the stack template under the resource, whereas CDK node metadata ends up in the Cloud Assembly.
- inspect(inspector)
Examines the CloudFormation resource and discloses attributes.
- Parameters:
inspector (
TreeInspector
) –tree inspector to collect and process attributes.
- Return type:
None
- override_logical_id(new_logical_id)
Overrides the auto-generated logical ID with a specific ID.
- Parameters:
new_logical_id (
str
) – The new logical ID to use for this stack element.- Return type:
None
- to_string()
Returns a string representation of this construct.
- Return type:
str
- Returns:
a string representation of this resource
Attributes
- CFN_RESOURCE_TYPE_NAME = 'AWS::Scheduler::Schedule'
- attr_arn
The Amazon Resource Name (ARN) for the Amazon EventBridge Scheduler schedule.
- CloudformationAttribute:
Arn
- cfn_options
Options for this resource, such as condition, update policy etc.
- cfn_resource_type
AWS resource type.
- creation_stack
return:
the stack trace of the point where this Resource was created from, sourced from the +metadata+ entry typed +aws:cdk:logicalId+, and with the bottom-most node +internal+ entries filtered.
- description
The description you specify for the schedule.
- end_date
The date, in UTC, before which the schedule can invoke its target.
Depending on the schedule’s recurrence expression, invocations might stop on, or before, the
EndDate
you specify. EventBridge Scheduler ignoresEndDate
for one-time schedules.
- flexible_time_window
Allows you to configure a time window during which EventBridge Scheduler invokes the schedule.
- group_name
The name of the schedule group associated with this schedule.
- kms_key_arn
The Amazon Resource Name (ARN) for the customer managed KMS key that EventBridge Scheduler will use to encrypt and decrypt your data.
- logical_id
The logical ID for this CloudFormation stack element.
The logical ID of the element is calculated from the path of the resource node in the construct tree.
To override this value, use
overrideLogicalId(newLogicalId)
.- Returns:
the logical ID as a stringified token. This value will only get resolved during synthesis.
- name
The name of the schedule.
- node
The construct tree node associated with this construct.
- ref
Return a string that will be resolved to a CloudFormation
{ Ref }
for this element.If, by any chance, the intrinsic reference of a resource is not a string, you could coerce it to an IResolvable through
Lazy.any({ produce: resource.ref })
.
- schedule_expression
The expression that defines when the schedule runs. The following formats are supported.
at
expression -at(yyyy-mm-ddThh:mm:ss)
rate
expression -rate(value unit)
cron
expression -cron(fields)
You can use
at
expressions to create one-time schedules that invoke a target once, at the time and in the time zone, that you specify. You can userate
andcron
expressions to create recurring schedules. Rate-based schedules are useful when you want to invoke a target at regular intervals, such as every 15 minutes or every five days. Cron-based schedules are useful when you want to invoke a target periodically at a specific time, such as at 8:00 am (UTC+0) every 1st day of the month.A
cron
expression consists of six fields separated by white spaces:(minutes hours day_of_month month day_of_week year)
.A
rate
expression consists of a value as a positive integer, and a unit with the following options:minute
|minutes
|hour
|hours
|day
|days
For more information and examples, see Schedule types on EventBridge Scheduler in the EventBridge Scheduler User Guide .
- schedule_expression_timezone
The timezone in which the scheduling expression is evaluated.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- start_date
The date, in UTC, after which the schedule can begin invoking its target.
Depending on the schedule’s recurrence expression, invocations might occur on, or after, the
StartDate
you specify. EventBridge Scheduler ignoresStartDate
for one-time schedules.
- state
Specifies whether the schedule is enabled or disabled.
Allowed Values :
ENABLED
|DISABLED
- target
The schedule’s target details.
Static Methods
- classmethod is_cfn_element(x)
Returns
true
if a construct is a stack element (i.e. part of the synthesized cloudformation template).Uses duck-typing instead of
instanceof
to allow stack elements from different versions of this library to be included in the same stack.- Parameters:
x (
Any
) –- Return type:
bool
- Returns:
The construct as a stack element or undefined if it is not a stack element.
- classmethod is_cfn_resource(construct)
Check whether the given construct is a CfnResource.
- Parameters:
construct (
IConstruct
) –- Return type:
bool
- classmethod is_construct(x)
Return whether the given object is a Construct.
- Parameters:
x (
Any
) –- Return type:
bool
AwsVpcConfigurationProperty
- class CfnSchedule.AwsVpcConfigurationProperty(*, subnets, assign_public_ip=None, security_groups=None)
Bases:
object
This structure specifies the VPC subnets and security groups for the task, and whether a public IP address is to be used.
This structure is relevant only for ECS tasks that use the awsvpc network mode.
- Parameters:
subnets (
Sequence
[str
]) – Specifies the subnets associated with the task. These subnets must all be in the same VPC. You can specify as many as 16 subnets.assign_public_ip (
Optional
[str
]) – Specifies whether the task’s elastic network interface receives a public IP address. You can specifyENABLED
only whenLaunchType
inEcsParameters
is set toFARGATE
.security_groups (
Optional
[Sequence
[str
]]) – Specifies the security groups associated with the task. These security groups must all be in the same VPC. You can specify as many as five security groups. If you do not specify a security group, the default security group for the VPC is used.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler aws_vpc_configuration_property = scheduler.CfnSchedule.AwsVpcConfigurationProperty( subnets=["subnets"], # the properties below are optional assign_public_ip="assignPublicIp", security_groups=["securityGroups"] )
Attributes
- assign_public_ip
Specifies whether the task’s elastic network interface receives a public IP address.
You can specify
ENABLED
only whenLaunchType
inEcsParameters
is set toFARGATE
.
- security_groups
Specifies the security groups associated with the task.
These security groups must all be in the same VPC. You can specify as many as five security groups. If you do not specify a security group, the default security group for the VPC is used.
- subnets
Specifies the subnets associated with the task.
These subnets must all be in the same VPC. You can specify as many as 16 subnets.
CapacityProviderStrategyItemProperty
- class CfnSchedule.CapacityProviderStrategyItemProperty(*, capacity_provider, base=None, weight=None)
Bases:
object
The details of a capacity provider strategy.
- Parameters:
capacity_provider (
str
) – The short name of the capacity provider.base (
Union
[int
,float
,None
]) – The base value designates how many tasks, at a minimum, to run on the specified capacity provider. Only one capacity provider in a capacity provider strategy can have a base defined. If no value is specified, the default value of0
is used.weight (
Union
[int
,float
,None
]) – The weight value designates the relative percentage of the total number of tasks launched that should use the specified capacity provider. The weight value is taken into consideration after the base value, if defined, is satisfied.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler capacity_provider_strategy_item_property = scheduler.CfnSchedule.CapacityProviderStrategyItemProperty( capacity_provider="capacityProvider", # the properties below are optional base=123, weight=123 )
Attributes
- base
The base value designates how many tasks, at a minimum, to run on the specified capacity provider.
Only one capacity provider in a capacity provider strategy can have a base defined. If no value is specified, the default value of
0
is used.
- capacity_provider
The short name of the capacity provider.
- weight
The weight value designates the relative percentage of the total number of tasks launched that should use the specified capacity provider.
The weight value is taken into consideration after the base value, if defined, is satisfied.
DeadLetterConfigProperty
- class CfnSchedule.DeadLetterConfigProperty(*, arn=None)
Bases:
object
An object that contains information about an Amazon SQS queue that EventBridge Scheduler uses as a dead-letter queue for your schedule.
If specified, EventBridge Scheduler delivers failed events that could not be successfully delivered to a target to the queue.
- Parameters:
arn (
Optional
[str
]) – The Amazon Resource Name (ARN) of the SQS queue specified as the destination for the dead-letter queue.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler dead_letter_config_property = scheduler.CfnSchedule.DeadLetterConfigProperty( arn="arn" )
Attributes
- arn
The Amazon Resource Name (ARN) of the SQS queue specified as the destination for the dead-letter queue.
EcsParametersProperty
- class CfnSchedule.EcsParametersProperty(*, task_definition_arn, capacity_provider_strategy=None, enable_ecs_managed_tags=None, enable_execute_command=None, group=None, launch_type=None, network_configuration=None, placement_constraints=None, placement_strategy=None, platform_version=None, propagate_tags=None, reference_id=None, tags=None, task_count=None)
Bases:
object
The templated target type for the Amazon ECS
`RunTask
<https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_RunTask.html>`_ API operation.- Parameters:
task_definition_arn (
str
) – The Amazon Resource Name (ARN) of the task definition to use if the event target is an Amazon ECS task.capacity_provider_strategy (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,CapacityProviderStrategyItemProperty
,Dict
[str
,Any
]]],None
]) – The capacity provider strategy to use for the task.enable_ecs_managed_tags (
Union
[bool
,IResolvable
,None
]) – Specifies whether to enable Amazon ECS managed tags for the task. For more information, see Tagging Your Amazon ECS Resources in the Amazon ECS Developer Guide .enable_execute_command (
Union
[bool
,IResolvable
,None
]) – Whether or not to enable the execute command functionality for the containers in this task. If true, this enables execute command functionality on all containers in the task.group (
Optional
[str
]) – Specifies an Amazon ECS task group for the task. The maximum length is 255 characters.launch_type (
Optional
[str
]) – Specifies the launch type on which your task is running. The launch type that you specify here must match one of the launch type (compatibilities) of the target task. TheFARGATE
value is supported only in the Regions where Fargate with Amazon ECS is supported. For more information, see AWS Fargate on Amazon ECS in the Amazon ECS Developer Guide .network_configuration (
Union
[IResolvable
,NetworkConfigurationProperty
,Dict
[str
,Any
],None
]) – This structure specifies the network configuration for an ECS task.placement_constraints (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,PlacementConstraintProperty
,Dict
[str
,Any
]]],None
]) – An array of placement constraint objects to use for the task. You can specify up to 10 constraints per task (including constraints in the task definition and those specified at runtime).placement_strategy (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,PlacementStrategyProperty
,Dict
[str
,Any
]]],None
]) – The task placement strategy for a task or service.platform_version (
Optional
[str
]) – Specifies the platform version for the task. Specify only the numeric portion of the platform version, such as1.1.0
.propagate_tags (
Optional
[str
]) – Specifies whether to propagate the tags from the task definition to the task. If no value is specified, the tags are not propagated. Tags can only be propagated to the task during task creation. To add tags to a task after task creation, use the Amazon ECS`TagResource
<https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_TagResource.html>`_ API action.reference_id (
Optional
[str
]) – The reference ID to use for the task.tags (
Optional
[Any
]) – The metadata that you apply to the task to help you categorize and organize them. Each tag consists of a key and an optional value, both of which you define. For more information, see`RunTask
<https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_RunTask.html>`_ in the Amazon ECS API Reference .task_count (
Union
[int
,float
,None
]) – The number of tasks to create based onTaskDefinition
. The default is1
.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler # tags: Any ecs_parameters_property = scheduler.CfnSchedule.EcsParametersProperty( task_definition_arn="taskDefinitionArn", # the properties below are optional capacity_provider_strategy=[scheduler.CfnSchedule.CapacityProviderStrategyItemProperty( capacity_provider="capacityProvider", # the properties below are optional base=123, weight=123 )], enable_ecs_managed_tags=False, enable_execute_command=False, group="group", launch_type="launchType", network_configuration=scheduler.CfnSchedule.NetworkConfigurationProperty( awsvpc_configuration=scheduler.CfnSchedule.AwsVpcConfigurationProperty( subnets=["subnets"], # the properties below are optional assign_public_ip="assignPublicIp", security_groups=["securityGroups"] ) ), placement_constraints=[scheduler.CfnSchedule.PlacementConstraintProperty( expression="expression", type="type" )], placement_strategy=[scheduler.CfnSchedule.PlacementStrategyProperty( field="field", type="type" )], platform_version="platformVersion", propagate_tags="propagateTags", reference_id="referenceId", tags=tags, task_count=123 )
Attributes
- capacity_provider_strategy
The capacity provider strategy to use for the task.
- enable_ecs_managed_tags
Specifies whether to enable Amazon ECS managed tags for the task.
For more information, see Tagging Your Amazon ECS Resources in the Amazon ECS Developer Guide .
- enable_execute_command
Whether or not to enable the execute command functionality for the containers in this task.
If true, this enables execute command functionality on all containers in the task.
- group
Specifies an Amazon ECS task group for the task.
The maximum length is 255 characters.
- launch_type
Specifies the launch type on which your task is running.
The launch type that you specify here must match one of the launch type (compatibilities) of the target task. The
FARGATE
value is supported only in the Regions where Fargate with Amazon ECS is supported. For more information, see AWS Fargate on Amazon ECS in the Amazon ECS Developer Guide .
- network_configuration
This structure specifies the network configuration for an ECS task.
- placement_constraints
An array of placement constraint objects to use for the task.
You can specify up to 10 constraints per task (including constraints in the task definition and those specified at runtime).
- placement_strategy
The task placement strategy for a task or service.
- platform_version
Specifies the platform version for the task.
Specify only the numeric portion of the platform version, such as
1.1.0
.
- propagate_tags
Specifies whether to propagate the tags from the task definition to the task.
If no value is specified, the tags are not propagated. Tags can only be propagated to the task during task creation. To add tags to a task after task creation, use the Amazon ECS
`TagResource
<https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_TagResource.html>`_ API action.
- reference_id
The reference ID to use for the task.
- tags
The metadata that you apply to the task to help you categorize and organize them.
Each tag consists of a key and an optional value, both of which you define. For more information, see
`RunTask
<https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_RunTask.html>`_ in the Amazon ECS API Reference .
- task_count
The number of tasks to create based on
TaskDefinition
.The default is
1
.
- task_definition_arn
The Amazon Resource Name (ARN) of the task definition to use if the event target is an Amazon ECS task.
EventBridgeParametersProperty
- class CfnSchedule.EventBridgeParametersProperty(*, detail_type, source)
Bases:
object
The templated target type for the EventBridge
`PutEvents
<https://docs.aws.amazon.com/eventbridge/latest/APIReference/API_PutEvents.html>`_ API operation.- Parameters:
detail_type (
str
) – A free-form string, with a maximum of 128 characters, used to decide what fields to expect in the event detail.source (
str
) – The source of the event.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler event_bridge_parameters_property = scheduler.CfnSchedule.EventBridgeParametersProperty( detail_type="detailType", source="source" )
Attributes
- detail_type
A free-form string, with a maximum of 128 characters, used to decide what fields to expect in the event detail.
FlexibleTimeWindowProperty
- class CfnSchedule.FlexibleTimeWindowProperty(*, mode, maximum_window_in_minutes=None)
Bases:
object
Allows you to configure a time window during which EventBridge Scheduler invokes the schedule.
- Parameters:
mode (
str
) – Determines whether the schedule is invoked within a flexible time window. Allowed Values :OFF
|FLEXIBLE
maximum_window_in_minutes (
Union
[int
,float
,None
]) – The maximum time window during which a schedule can be invoked. Minimum :1
Maximum :1440
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler flexible_time_window_property = scheduler.CfnSchedule.FlexibleTimeWindowProperty( mode="mode", # the properties below are optional maximum_window_in_minutes=123 )
Attributes
- maximum_window_in_minutes
The maximum time window during which a schedule can be invoked.
Minimum :
1
Maximum :
1440
- mode
Determines whether the schedule is invoked within a flexible time window.
Allowed Values :
OFF
|FLEXIBLE
KinesisParametersProperty
- class CfnSchedule.KinesisParametersProperty(*, partition_key)
Bases:
object
The templated target type for the Amazon Kinesis
`PutRecord
<https://docs.aws.amazon.com/kinesis/latest/APIReference/API_PutRecord.html>`_ API operation.- Parameters:
partition_key (
str
) – Specifies the shard to which EventBridge Scheduler sends the event. For more information, see Amazon Kinesis Data Streams terminology and concepts in the Amazon Kinesis Streams Developer Guide .- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler kinesis_parameters_property = scheduler.CfnSchedule.KinesisParametersProperty( partition_key="partitionKey" )
Attributes
- partition_key
Specifies the shard to which EventBridge Scheduler sends the event.
For more information, see Amazon Kinesis Data Streams terminology and concepts in the Amazon Kinesis Streams Developer Guide .
NetworkConfigurationProperty
- class CfnSchedule.NetworkConfigurationProperty(*, awsvpc_configuration=None)
Bases:
object
Specifies the network configuration for an ECS task.
- Parameters:
awsvpc_configuration (
Union
[IResolvable
,AwsVpcConfigurationProperty
,Dict
[str
,Any
],None
]) – Specifies the Amazon VPC subnets and security groups for the task, and whether a public IP address is to be used. This structure is relevant only for ECS tasks that use the awsvpc network mode.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler network_configuration_property = scheduler.CfnSchedule.NetworkConfigurationProperty( awsvpc_configuration=scheduler.CfnSchedule.AwsVpcConfigurationProperty( subnets=["subnets"], # the properties below are optional assign_public_ip="assignPublicIp", security_groups=["securityGroups"] ) )
Attributes
- awsvpc_configuration
Specifies the Amazon VPC subnets and security groups for the task, and whether a public IP address is to be used.
This structure is relevant only for ECS tasks that use the awsvpc network mode.
PlacementConstraintProperty
- class CfnSchedule.PlacementConstraintProperty(*, expression=None, type=None)
Bases:
object
An object representing a constraint on task placement.
- Parameters:
expression (
Optional
[str
]) – A cluster query language expression to apply to the constraint. You cannot specify an expression if the constraint type isdistinctInstance
. For more information, see Cluster query language in the Amazon ECS Developer Guide .type (
Optional
[str
]) – The type of constraint. UsedistinctInstance
to ensure that each task in a particular group is running on a different container instance. UsememberOf
to restrict the selection to a group of valid candidates.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler placement_constraint_property = scheduler.CfnSchedule.PlacementConstraintProperty( expression="expression", type="type" )
Attributes
- expression
A cluster query language expression to apply to the constraint.
You cannot specify an expression if the constraint type is
distinctInstance
. For more information, see Cluster query language in the Amazon ECS Developer Guide .
- type
The type of constraint.
Use
distinctInstance
to ensure that each task in a particular group is running on a different container instance. UsememberOf
to restrict the selection to a group of valid candidates.
PlacementStrategyProperty
- class CfnSchedule.PlacementStrategyProperty(*, field=None, type=None)
Bases:
object
The task placement strategy for a task or service.
- Parameters:
field (
Optional
[str
]) – The field to apply the placement strategy against. For the spread placement strategy, valid values areinstanceId
(orinstanceId
, which has the same effect), or any platform or custom attribute that is applied to a container instance, such asattribute:ecs.availability-zone
. For the binpack placement strategy, valid values arecpu
andmemory
. For the random placement strategy, this field is not used.type (
Optional
[str
]) – The type of placement strategy. The random placement strategy randomly places tasks on available candidates. The spread placement strategy spreads placement across available candidates evenly based on the field parameter. The binpack strategy places tasks on available candidates that have the least available amount of the resource that is specified with the field parameter. For example, if you binpack on memory, a task is placed on the instance with the least amount of remaining memory (but still enough to run the task).
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler placement_strategy_property = scheduler.CfnSchedule.PlacementStrategyProperty( field="field", type="type" )
Attributes
- field
The field to apply the placement strategy against.
For the spread placement strategy, valid values are
instanceId
(orinstanceId
, which has the same effect), or any platform or custom attribute that is applied to a container instance, such asattribute:ecs.availability-zone
. For the binpack placement strategy, valid values arecpu
andmemory
. For the random placement strategy, this field is not used.
- type
The type of placement strategy.
The random placement strategy randomly places tasks on available candidates. The spread placement strategy spreads placement across available candidates evenly based on the field parameter. The binpack strategy places tasks on available candidates that have the least available amount of the resource that is specified with the field parameter. For example, if you binpack on memory, a task is placed on the instance with the least amount of remaining memory (but still enough to run the task).
RetryPolicyProperty
- class CfnSchedule.RetryPolicyProperty(*, maximum_event_age_in_seconds=None, maximum_retry_attempts=None)
Bases:
object
A
RetryPolicy
object that includes information about the retry policy settings, including the maximum age of an event, and the maximum number of times EventBridge Scheduler will try to deliver the event to a target.- Parameters:
maximum_event_age_in_seconds (
Union
[int
,float
,None
]) – The maximum amount of time, in seconds, to continue to make retry attempts.maximum_retry_attempts (
Union
[int
,float
,None
]) – The maximum number of retry attempts to make before the request fails. Retry attempts with exponential backoff continue until either the maximum number of attempts is made or until the duration of theMaximumEventAgeInSeconds
is reached.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler retry_policy_property = scheduler.CfnSchedule.RetryPolicyProperty( maximum_event_age_in_seconds=123, maximum_retry_attempts=123 )
Attributes
- maximum_event_age_in_seconds
The maximum amount of time, in seconds, to continue to make retry attempts.
- maximum_retry_attempts
The maximum number of retry attempts to make before the request fails.
Retry attempts with exponential backoff continue until either the maximum number of attempts is made or until the duration of the
MaximumEventAgeInSeconds
is reached.
SageMakerPipelineParameterProperty
- class CfnSchedule.SageMakerPipelineParameterProperty(*, name, value)
Bases:
object
The name and value pair of a parameter to use to start execution of a SageMaker Model Building Pipeline.
- Parameters:
name (
str
) – Name of parameter to start execution of a SageMaker Model Building Pipeline.value (
str
) – Value of parameter to start execution of a SageMaker Model Building Pipeline.
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler sage_maker_pipeline_parameter_property = scheduler.CfnSchedule.SageMakerPipelineParameterProperty( name="name", value="value" )
Attributes
- name
Name of parameter to start execution of a SageMaker Model Building Pipeline.
- value
Value of parameter to start execution of a SageMaker Model Building Pipeline.
SageMakerPipelineParametersProperty
- class CfnSchedule.SageMakerPipelineParametersProperty(*, pipeline_parameter_list=None)
Bases:
object
The templated target type for the Amazon SageMaker
`StartPipelineExecution
<https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartPipelineExecution.html>`_ API operation.- Parameters:
pipeline_parameter_list (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,SageMakerPipelineParameterProperty
,Dict
[str
,Any
]]],None
]) – List of parameter names and values to use when executing the SageMaker Model Building Pipeline.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler sage_maker_pipeline_parameters_property = scheduler.CfnSchedule.SageMakerPipelineParametersProperty( pipeline_parameter_list=[scheduler.CfnSchedule.SageMakerPipelineParameterProperty( name="name", value="value" )] )
Attributes
- pipeline_parameter_list
List of parameter names and values to use when executing the SageMaker Model Building Pipeline.
SqsParametersProperty
- class CfnSchedule.SqsParametersProperty(*, message_group_id=None)
Bases:
object
The templated target type for the Amazon SQS
`SendMessage
<https://docs.aws.amazon.com/AWSSimpleQueueService/latest/APIReference/API_SendMessage.html>`_ API operation. Contains the message group ID to use when the target is a FIFO queue. If you specify an Amazon SQS FIFO queue as a target, the queue must have content-based deduplication enabled. For more information, see Using the Amazon SQS message deduplication ID in the Amazon SQS Developer Guide .- Parameters:
message_group_id (
Optional
[str
]) – The FIFO message group ID to use as the target.- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler sqs_parameters_property = scheduler.CfnSchedule.SqsParametersProperty( message_group_id="messageGroupId" )
Attributes
- message_group_id
The FIFO message group ID to use as the target.
TargetProperty
- class CfnSchedule.TargetProperty(*, arn, role_arn, dead_letter_config=None, ecs_parameters=None, event_bridge_parameters=None, input=None, kinesis_parameters=None, retry_policy=None, sage_maker_pipeline_parameters=None, sqs_parameters=None)
Bases:
object
The schedule’s target.
EventBridge Scheduler supports templated target that invoke common API operations, as well as universal targets that you can customize to invoke over 6,000 API operations across more than 270 services. You can only specify one templated or universal target for a schedule.
- Parameters:
arn (
str
) – The Amazon Resource Name (ARN) of the target.role_arn (
str
) – The Amazon Resource Name (ARN) of the IAM role that EventBridge Scheduler will use for this target when the schedule is invoked.dead_letter_config (
Union
[IResolvable
,DeadLetterConfigProperty
,Dict
[str
,Any
],None
]) – An object that contains information about an Amazon SQS queue that EventBridge Scheduler uses as a dead-letter queue for your schedule. If specified, EventBridge Scheduler delivers failed events that could not be successfully delivered to a target to the queue.ecs_parameters (
Union
[IResolvable
,EcsParametersProperty
,Dict
[str
,Any
],None
]) – The templated target type for the Amazon ECS`RunTask
<https://docs.aws.amazon.com/AmazonECS/latest/APIReference/API_RunTask.html>`_ API operation.event_bridge_parameters (
Union
[IResolvable
,EventBridgeParametersProperty
,Dict
[str
,Any
],None
]) – The templated target type for the EventBridge`PutEvents
<https://docs.aws.amazon.com/eventbridge/latest/APIReference/API_PutEvents.html>`_ API operation.input (
Optional
[str
]) – The text, or well-formed JSON, passed to the target. If you are configuring a templated Lambda , AWS Step Functions , or Amazon EventBridge target, the input must be a well-formed JSON. For all other target types, a JSON is not required. If you do not specify anything for this field, Amazon EventBridge Scheduler delivers a default notification to the target.kinesis_parameters (
Union
[IResolvable
,KinesisParametersProperty
,Dict
[str
,Any
],None
]) – The templated target type for the Amazon Kinesis`PutRecord
<https://docs.aws.amazon.com/kinesis/latest/APIReference/API_PutRecord.html>`_ API operation.retry_policy (
Union
[IResolvable
,RetryPolicyProperty
,Dict
[str
,Any
],None
]) – ARetryPolicy
object that includes information about the retry policy settings, including the maximum age of an event, and the maximum number of times EventBridge Scheduler will try to deliver the event to a target.sage_maker_pipeline_parameters (
Union
[IResolvable
,SageMakerPipelineParametersProperty
,Dict
[str
,Any
],None
]) – The templated target type for the Amazon SageMaker`StartPipelineExecution
<https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartPipelineExecution.html>`_ API operation.sqs_parameters (
Union
[IResolvable
,SqsParametersProperty
,Dict
[str
,Any
],None
]) –The templated target type for the Amazon SQS
`SendMessage
<https://docs.aws.amazon.com/AWSSimpleQueueService/latest/APIReference/API_SendMessage.html>`_ API operation. Contains the message group ID to use when the target is a FIFO queue. If you specify an Amazon SQS FIFO queue as a target, the queue must have content-based deduplication enabled. For more information, see Using the Amazon SQS message deduplication ID in the Amazon SQS Developer Guide .
- Link:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. import aws_cdk.aws_scheduler as scheduler # tags: Any target_property = scheduler.CfnSchedule.TargetProperty( arn="arn", role_arn="roleArn", # the properties below are optional dead_letter_config=scheduler.CfnSchedule.DeadLetterConfigProperty( arn="arn" ), ecs_parameters=scheduler.CfnSchedule.EcsParametersProperty( task_definition_arn="taskDefinitionArn", # the properties below are optional capacity_provider_strategy=[scheduler.CfnSchedule.CapacityProviderStrategyItemProperty( capacity_provider="capacityProvider", # the properties below are optional base=123, weight=123 )], enable_ecs_managed_tags=False, enable_execute_command=False, group="group", launch_type="launchType", network_configuration=scheduler.CfnSchedule.NetworkConfigurationProperty( awsvpc_configuration=scheduler.CfnSchedule.AwsVpcConfigurationProperty( subnets=["subnets"], # the properties below are optional assign_public_ip="assignPublicIp", security_groups=["securityGroups"] ) ), placement_constraints=[scheduler.CfnSchedule.PlacementConstraintProperty( expression="expression", type="type" )], placement_strategy=[scheduler.CfnSchedule.PlacementStrategyProperty( field="field", type="type" )], platform_version="platformVersion", propagate_tags="propagateTags", reference_id="referenceId", tags=tags, task_count=123 ), event_bridge_parameters=scheduler.CfnSchedule.EventBridgeParametersProperty( detail_type="detailType", source="source" ), input="input", kinesis_parameters=scheduler.CfnSchedule.KinesisParametersProperty( partition_key="partitionKey" ), retry_policy=scheduler.CfnSchedule.RetryPolicyProperty( maximum_event_age_in_seconds=123, maximum_retry_attempts=123 ), sage_maker_pipeline_parameters=scheduler.CfnSchedule.SageMakerPipelineParametersProperty( pipeline_parameter_list=[scheduler.CfnSchedule.SageMakerPipelineParameterProperty( name="name", value="value" )] ), sqs_parameters=scheduler.CfnSchedule.SqsParametersProperty( message_group_id="messageGroupId" ) )
Attributes
- arn
The Amazon Resource Name (ARN) of the target.
- dead_letter_config
An object that contains information about an Amazon SQS queue that EventBridge Scheduler uses as a dead-letter queue for your schedule.
If specified, EventBridge Scheduler delivers failed events that could not be successfully delivered to a target to the queue.
- ecs_parameters
//docs.aws.amazon.com/AmazonECS/latest/APIReference/API_RunTask.html>`_ API operation.
- Link:
- Type:
The templated target type for the Amazon ECS
`RunTask
<https
- event_bridge_parameters
//docs.aws.amazon.com/eventbridge/latest/APIReference/API_PutEvents.html>`_ API operation.
- Link:
- Type:
The templated target type for the EventBridge
`PutEvents
<https
- input
The text, or well-formed JSON, passed to the target.
If you are configuring a templated Lambda , AWS Step Functions , or Amazon EventBridge target, the input must be a well-formed JSON. For all other target types, a JSON is not required. If you do not specify anything for this field, Amazon EventBridge Scheduler delivers a default notification to the target.
- kinesis_parameters
//docs.aws.amazon.com/kinesis/latest/APIReference/API_PutRecord.html>`_ API operation.
- Link:
- Type:
The templated target type for the Amazon Kinesis
`PutRecord
<https
- retry_policy
A
RetryPolicy
object that includes information about the retry policy settings, including the maximum age of an event, and the maximum number of times EventBridge Scheduler will try to deliver the event to a target.
- role_arn
The Amazon Resource Name (ARN) of the IAM role that EventBridge Scheduler will use for this target when the schedule is invoked.
- sage_maker_pipeline_parameters
//docs.aws.amazon.com/sagemaker/latest/APIReference/API_StartPipelineExecution.html>`_ API operation.
- Link:
- Type:
The templated target type for the Amazon SageMaker
`StartPipelineExecution
<https
- sqs_parameters
//docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/using-messagededuplicationid-property.html>`_ in the Amazon SQS Developer Guide .
- Link:
- Type:
The templated target type for the Amazon SQS
`SendMessage
<https- Type:
//docs.aws.amazon.com/AWSSimpleQueueService/latest/APIReference/API_SendMessage.html>`_ API operation. Contains the message group ID to use when the target is a FIFO queue. If you specify an Amazon SQS FIFO queue as a target, the queue must have content-based deduplication enabled. For more information, see `Using the Amazon SQS message deduplication ID <https