CfnApplication
- class aws_cdk.aws_emrserverless.CfnApplication(scope, id, *, release_label, type, architecture=None, auto_start_configuration=None, auto_stop_configuration=None, image_configuration=None, initial_capacity=None, interactive_configuration=None, maximum_capacity=None, monitoring_configuration=None, name=None, network_configuration=None, runtime_configuration=None, scheduler_configuration=None, tags=None, worker_type_specifications=None)
Bases:
CfnResource
The
AWS::EMRServerless::Application
resource specifies an EMR Serverless application.An application uses open source analytics frameworks to run jobs that process data. To create an application, you must specify the release version for the open source framework version you want to use and the type of application you want, such as Apache Spark or Apache Hive. After you create an application, you can submit data processing jobs or interactive requests to it.
- See:
- CloudformationResource:
AWS::EMRServerless::Application
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless # configuration_object_property_: emrserverless.CfnApplication.ConfigurationObjectProperty cfn_application = emrserverless.CfnApplication(self, "MyCfnApplication", release_label="releaseLabel", type="type", # the properties below are optional architecture="architecture", auto_start_configuration=emrserverless.CfnApplication.AutoStartConfigurationProperty( enabled=False ), auto_stop_configuration=emrserverless.CfnApplication.AutoStopConfigurationProperty( enabled=False, idle_timeout_minutes=123 ), image_configuration=emrserverless.CfnApplication.ImageConfigurationInputProperty( image_uri="imageUri" ), initial_capacity=[emrserverless.CfnApplication.InitialCapacityConfigKeyValuePairProperty( key="key", value=emrserverless.CfnApplication.InitialCapacityConfigProperty( worker_configuration=emrserverless.CfnApplication.WorkerConfigurationProperty( cpu="cpu", memory="memory", # the properties below are optional disk="disk", disk_type="diskType" ), worker_count=123 ) )], interactive_configuration=emrserverless.CfnApplication.InteractiveConfigurationProperty( livy_endpoint_enabled=False, studio_enabled=False ), maximum_capacity=emrserverless.CfnApplication.MaximumAllowedResourcesProperty( cpu="cpu", memory="memory", # the properties below are optional disk="disk" ), monitoring_configuration=emrserverless.CfnApplication.MonitoringConfigurationProperty( cloud_watch_logging_configuration=emrserverless.CfnApplication.CloudWatchLoggingConfigurationProperty( enabled=False, encryption_key_arn="encryptionKeyArn", log_group_name="logGroupName", log_stream_name_prefix="logStreamNamePrefix", log_type_map=[emrserverless.CfnApplication.LogTypeMapKeyValuePairProperty( key="key", value=["value"] )] ), managed_persistence_monitoring_configuration=emrserverless.CfnApplication.ManagedPersistenceMonitoringConfigurationProperty( enabled=False, encryption_key_arn="encryptionKeyArn" ), s3_monitoring_configuration=emrserverless.CfnApplication.S3MonitoringConfigurationProperty( encryption_key_arn="encryptionKeyArn", log_uri="logUri" ) ), name="name", network_configuration=emrserverless.CfnApplication.NetworkConfigurationProperty( security_group_ids=["securityGroupIds"], subnet_ids=["subnetIds"] ), runtime_configuration=[emrserverless.CfnApplication.ConfigurationObjectProperty( classification="classification", # the properties below are optional configurations=[configuration_object_property_], properties={ "properties_key": "properties" } )], scheduler_configuration=emrserverless.CfnApplication.SchedulerConfigurationProperty( max_concurrent_runs=123, queue_timeout_minutes=123 ), tags=[CfnTag( key="key", value="value" )], worker_type_specifications={ "worker_type_specifications_key": emrserverless.CfnApplication.WorkerTypeSpecificationInputProperty( image_configuration=emrserverless.CfnApplication.ImageConfigurationInputProperty( image_uri="imageUri" ) ) } )
- Parameters:
scope (
Construct
) – Scope in which this resource is defined.id (
str
) – Construct identifier for this resource (unique in its scope).release_label (
str
) – The EMR release associated with the application.type (
str
) – The type of application, such as Spark or Hive.architecture (
Optional
[str
]) – The CPU architecture of an application.auto_start_configuration (
Union
[IResolvable
,AutoStartConfigurationProperty
,Dict
[str
,Any
],None
]) – The configuration for an application to automatically start on job submission.auto_stop_configuration (
Union
[IResolvable
,AutoStopConfigurationProperty
,Dict
[str
,Any
],None
]) – The configuration for an application to automatically stop after a certain amount of time being idle.image_configuration (
Union
[IResolvable
,ImageConfigurationInputProperty
,Dict
[str
,Any
],None
]) – The image configuration applied to all worker types.initial_capacity (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,InitialCapacityConfigKeyValuePairProperty
,Dict
[str
,Any
]]],None
]) – The initial capacity of the application.interactive_configuration (
Union
[IResolvable
,InteractiveConfigurationProperty
,Dict
[str
,Any
],None
]) – The interactive configuration object that enables the interactive use cases for an application.maximum_capacity (
Union
[IResolvable
,MaximumAllowedResourcesProperty
,Dict
[str
,Any
],None
]) – The maximum capacity of the application. This is cumulative across all workers at any given point in time during the lifespan of the application is created. No new resources will be created once any one of the defined limits is hit.monitoring_configuration (
Union
[IResolvable
,MonitoringConfigurationProperty
,Dict
[str
,Any
],None
]) – A configuration specification to be used when provisioning an application. A configuration consists of a classification, properties, and optional nested configurations. A classification refers to an application-specific configuration file. Properties are the settings you want to change in that file.name (
Optional
[str
]) – The name of the application.network_configuration (
Union
[IResolvable
,NetworkConfigurationProperty
,Dict
[str
,Any
],None
]) – The network configuration for customer VPC connectivity for the application.runtime_configuration (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,ConfigurationObjectProperty
,Dict
[str
,Any
]]],None
]) – The Configuration specifications of an application. Each configuration consists of a classification and properties. You use this parameter when creating or updating an application. To see the runtimeConfiguration object of an application, run the GetApplication API operation.scheduler_configuration (
Union
[IResolvable
,SchedulerConfigurationProperty
,Dict
[str
,Any
],None
]) – The scheduler configuration for batch and streaming jobs running on this application. Supported with release labels emr-7.0.0 and above.tags (
Optional
[Sequence
[Union
[CfnTag
,Dict
[str
,Any
]]]]) – The tags assigned to the application.worker_type_specifications (
Union
[IResolvable
,Mapping
[str
,Union
[IResolvable
,WorkerTypeSpecificationInputProperty
,Dict
[str
,Any
]]],None
]) – The specification applied to each worker type.
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_dependency(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_depends_on(target)
(deprecated) Indicates that this resource depends on another resource and cannot be provisioned unless the other resource has been successfully provisioned.
- Parameters:
target (
CfnResource
) –- Deprecated:
use addDependency
- Stability:
deprecated
- Return type:
None
- add_metadata(key, value)
Add a value to the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –value (
Any
) –
- See:
- Return type:
None
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
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 intermediate 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
). In some cases, a snapshot can be taken of the resource prior to deletion (RemovalPolicy.SNAPSHOT
). A list of resources that support this policy can be found in the following link:- 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 resource, please consult that specific resource’s documentation.
- See:
- Return type:
None
- get_att(attribute_name, type_hint=None)
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.type_hint (
Optional
[ResolutionTypeHint
]) –
- Return type:
- get_metadata(key)
Retrieve a value value from the CloudFormation Resource Metadata.
- Parameters:
key (
str
) –- See:
- Return type:
Any
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/metadata-section-structure.html
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
- obtain_dependencies()
Retrieves an array of resources this resource depends on.
This assembles dependencies on resources across stacks (including nested stacks) automatically.
- Return type:
List
[Union
[Stack
,CfnResource
]]
- obtain_resource_dependencies()
Get a shallow copy of dependencies between this resource and other resources in the same stack.
- Return type:
List
[CfnResource
]
- 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
- remove_dependency(target)
Indicates that this resource no longer depends on another resource.
This can be used for resources across stacks (including nested stacks) and the dependency will automatically be removed from the relevant scope.
- Parameters:
target (
CfnResource
) –- Return type:
None
- replace_dependency(target, new_target)
Replaces one dependency with another.
- Parameters:
target (
CfnResource
) – The dependency to replace.new_target (
CfnResource
) – The new dependency to add.
- 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::EMRServerless::Application'
- architecture
The CPU architecture of an application.
- attr_application_id
The ID of the application, such as
ab4rp1abcs8xz47n3x0example
.- CloudformationAttribute:
ApplicationId
- attr_arn
The Amazon Resource Name (ARN) of the project.
- CloudformationAttribute:
Arn
- auto_start_configuration
The configuration for an application to automatically start on job submission.
- auto_stop_configuration
The configuration for an application to automatically stop after a certain amount of time being idle.
- 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.
- image_configuration
The image configuration applied to all worker types.
- initial_capacity
The initial capacity of the application.
- interactive_configuration
The interactive configuration object that enables the interactive use cases for an application.
- 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.
- maximum_capacity
The maximum capacity of the application.
- monitoring_configuration
A configuration specification to be used when provisioning an application.
- name
The name of the application.
- network_configuration
The network configuration for customer VPC connectivity for the application.
- node
The tree node.
- 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 })
.
- release_label
The EMR release associated with the application.
- runtime_configuration
//docs.aws.amazon.com/emr-serverless/latest/APIReference/API_GetApplication.html>`_ API operation.
- Type:
The `Configuration <https
- Type:
//docs.aws.amazon.com/emr-serverless/latest/APIReference/API_Configuration.html>`_ specifications of an application. Each configuration consists of a classification and properties. You use this parameter when creating or updating an application. To see the runtimeConfiguration object of an application, run the `GetApplication <https
- scheduler_configuration
The scheduler configuration for batch and streaming jobs running on this application.
- stack
The stack in which this element is defined.
CfnElements must be defined within a stack scope (directly or indirectly).
- tags
Tag Manager which manages the tags for this resource.
- tags_raw
The tags assigned to the application.
- type
The type of application, such as Spark or Hive.
- worker_type_specifications
The specification applied to each worker type.
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(x)
Check whether the given object is a CfnResource.
- Parameters:
x (
Any
) –- Return type:
bool
- classmethod is_construct(x)
Checks if
x
is a construct.Use this method instead of
instanceof
to properly detectConstruct
instances, even when the construct library is symlinked.Explanation: in JavaScript, multiple copies of the
constructs
library on disk are seen as independent, completely different libraries. As a consequence, the classConstruct
in each copy of theconstructs
library is seen as a different class, and an instance of one class will not test asinstanceof
the other class.npm install
will not create installations like this, but users may manually symlink construct libraries together or use a monorepo tool: in those cases, multiple copies of theconstructs
library can be accidentally installed, andinstanceof
will behave unpredictably. It is safest to avoid usinginstanceof
, and using this type-testing method instead.- Parameters:
x (
Any
) – Any object.- Return type:
bool
- Returns:
true if
x
is an object created from a class which extendsConstruct
.
AutoStartConfigurationProperty
- class CfnApplication.AutoStartConfigurationProperty(*, enabled=None)
Bases:
object
The configuration for an application to automatically start on job submission.
- Parameters:
enabled (
Union
[bool
,IResolvable
,None
]) – Enables the application to automatically start on job submission. Default: - true- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless auto_start_configuration_property = emrserverless.CfnApplication.AutoStartConfigurationProperty( enabled=False )
Attributes
- enabled
Enables the application to automatically start on job submission.
AutoStopConfigurationProperty
- class CfnApplication.AutoStopConfigurationProperty(*, enabled=None, idle_timeout_minutes=None)
Bases:
object
The configuration for an application to automatically stop after a certain amount of time being idle.
- Parameters:
enabled (
Union
[bool
,IResolvable
,None
]) – Enables the application to automatically stop after a certain amount of time being idle. Defaults to true. Default: - trueidle_timeout_minutes (
Union
[int
,float
,None
]) – The amount of idle time in minutes after which your application will automatically stop. Defaults to 15 minutes.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless auto_stop_configuration_property = emrserverless.CfnApplication.AutoStopConfigurationProperty( enabled=False, idle_timeout_minutes=123 )
Attributes
- enabled
Enables the application to automatically stop after a certain amount of time being idle.
Defaults to true.
- idle_timeout_minutes
The amount of idle time in minutes after which your application will automatically stop.
Defaults to 15 minutes.
CloudWatchLoggingConfigurationProperty
- class CfnApplication.CloudWatchLoggingConfigurationProperty(*, enabled=None, encryption_key_arn=None, log_group_name=None, log_stream_name_prefix=None, log_type_map=None)
Bases:
object
The Amazon CloudWatch configuration for monitoring logs.
You can configure your jobs to send log information to CloudWatch.
- Parameters:
enabled (
Union
[bool
,IResolvable
,None
]) – Enables CloudWatch logging. Default: - falseencryption_key_arn (
Optional
[str
]) – The AWS Key Management Service (KMS) key ARN to encrypt the logs that you store in CloudWatch Logs.log_group_name (
Optional
[str
]) – The name of the log group in Amazon CloudWatch Logs where you want to publish your logs.log_stream_name_prefix (
Optional
[str
]) – Prefix for the CloudWatch log stream name.log_type_map (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,LogTypeMapKeyValuePairProperty
,Dict
[str
,Any
]]],None
]) – The specific log-streams which need to be uploaded to CloudWatch.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless cloud_watch_logging_configuration_property = emrserverless.CfnApplication.CloudWatchLoggingConfigurationProperty( enabled=False, encryption_key_arn="encryptionKeyArn", log_group_name="logGroupName", log_stream_name_prefix="logStreamNamePrefix", log_type_map=[emrserverless.CfnApplication.LogTypeMapKeyValuePairProperty( key="key", value=["value"] )] )
Attributes
- enabled
Enables CloudWatch logging.
- encryption_key_arn
The AWS Key Management Service (KMS) key ARN to encrypt the logs that you store in CloudWatch Logs.
- log_group_name
The name of the log group in Amazon CloudWatch Logs where you want to publish your logs.
- log_stream_name_prefix
Prefix for the CloudWatch log stream name.
- log_type_map
The specific log-streams which need to be uploaded to CloudWatch.
ConfigurationObjectProperty
- class CfnApplication.ConfigurationObjectProperty(*, classification, configurations=None, properties=None)
Bases:
object
A configuration specification to be used when provisioning an application.
A configuration consists of a classification, properties, and optional nested configurations. A classification refers to an application-specific configuration file. Properties are the settings you want to change in that file.
- Parameters:
classification (
str
) – The classification within a configuration.configurations (
Union
[IResolvable
,Sequence
[Union
[IResolvable
,ConfigurationObjectProperty
,Dict
[str
,Any
]]],None
]) – A list of additional configurations to apply within a configuration object.properties (
Union
[IResolvable
,Mapping
[str
,str
],None
]) – A set of properties specified within a configuration classification.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless # configuration_object_property_: emrserverless.CfnApplication.ConfigurationObjectProperty configuration_object_property = emrserverless.CfnApplication.ConfigurationObjectProperty( classification="classification", # the properties below are optional configurations=[configuration_object_property_], properties={ "properties_key": "properties" } )
Attributes
- classification
The classification within a configuration.
- configurations
A list of additional configurations to apply within a configuration object.
- properties
A set of properties specified within a configuration classification.
ImageConfigurationInputProperty
- class CfnApplication.ImageConfigurationInputProperty(*, image_uri=None)
Bases:
object
The image configuration.
- Parameters:
image_uri (
Optional
[str
]) – The URI of an image in the Amazon ECR registry. This field is required when you create a new application. If you leave this field blank in an update, Amazon EMR will remove the image configuration.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless image_configuration_input_property = emrserverless.CfnApplication.ImageConfigurationInputProperty( image_uri="imageUri" )
Attributes
- image_uri
The URI of an image in the Amazon ECR registry.
This field is required when you create a new application. If you leave this field blank in an update, Amazon EMR will remove the image configuration.
InitialCapacityConfigKeyValuePairProperty
- class CfnApplication.InitialCapacityConfigKeyValuePairProperty(*, key, value)
Bases:
object
- Parameters:
key (
str
) – Worker type for an analytics framework.value (
Union
[IResolvable
,InitialCapacityConfigProperty
,Dict
[str
,Any
]]) –
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless initial_capacity_config_key_value_pair_property = emrserverless.CfnApplication.InitialCapacityConfigKeyValuePairProperty( key="key", value=emrserverless.CfnApplication.InitialCapacityConfigProperty( worker_configuration=emrserverless.CfnApplication.WorkerConfigurationProperty( cpu="cpu", memory="memory", # the properties below are optional disk="disk", disk_type="diskType" ), worker_count=123 ) )
Attributes
- key
Worker type for an analytics framework.
InitialCapacityConfigProperty
- class CfnApplication.InitialCapacityConfigProperty(*, worker_configuration, worker_count)
Bases:
object
The initial capacity configuration per worker.
- Parameters:
worker_configuration (
Union
[IResolvable
,WorkerConfigurationProperty
,Dict
[str
,Any
]]) – The resource configuration of the initial capacity configuration.worker_count (
Union
[int
,float
]) – The number of workers in the initial capacity configuration.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless initial_capacity_config_property = emrserverless.CfnApplication.InitialCapacityConfigProperty( worker_configuration=emrserverless.CfnApplication.WorkerConfigurationProperty( cpu="cpu", memory="memory", # the properties below are optional disk="disk", disk_type="diskType" ), worker_count=123 )
Attributes
- worker_configuration
The resource configuration of the initial capacity configuration.
- worker_count
The number of workers in the initial capacity configuration.
InteractiveConfigurationProperty
- class CfnApplication.InteractiveConfigurationProperty(*, livy_endpoint_enabled=None, studio_enabled=None)
Bases:
object
The configuration to use to enable the different types of interactive use cases in an application.
- Parameters:
livy_endpoint_enabled (
Union
[bool
,IResolvable
,None
]) – Enables an Apache Livy endpoint that you can connect to and run interactive jobs. Default: - falsestudio_enabled (
Union
[bool
,IResolvable
,None
]) – Enables you to connect an application to Amazon EMR Studio to run interactive workloads in a notebook. Default: - false
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless interactive_configuration_property = emrserverless.CfnApplication.InteractiveConfigurationProperty( livy_endpoint_enabled=False, studio_enabled=False )
Attributes
- livy_endpoint_enabled
Enables an Apache Livy endpoint that you can connect to and run interactive jobs.
- studio_enabled
Enables you to connect an application to Amazon EMR Studio to run interactive workloads in a notebook.
LogTypeMapKeyValuePairProperty
- class CfnApplication.LogTypeMapKeyValuePairProperty(*, key, value)
Bases:
object
- Parameters:
key (
str
) –value (
Sequence
[str
]) – List of Applicable values: [STDOUT, STDERR, HIVE_LOG, TEZ_AM, SYSTEM_LOGS].
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless log_type_map_key_value_pair_property = emrserverless.CfnApplication.LogTypeMapKeyValuePairProperty( key="key", value=["value"] )
Attributes
- key
-
- Type:
see
- value
[STDOUT, STDERR, HIVE_LOG, TEZ_AM, SYSTEM_LOGS].
ManagedPersistenceMonitoringConfigurationProperty
- class CfnApplication.ManagedPersistenceMonitoringConfigurationProperty(*, enabled=None, encryption_key_arn=None)
Bases:
object
The managed log persistence configuration for a job run.
- Parameters:
enabled (
Union
[bool
,IResolvable
,None
]) – Enables managed logging and defaults to true. If set to false, managed logging will be turned off. Default: - trueencryption_key_arn (
Optional
[str
]) – The KMS key ARN to encrypt the logs stored in managed log persistence.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless managed_persistence_monitoring_configuration_property = emrserverless.CfnApplication.ManagedPersistenceMonitoringConfigurationProperty( enabled=False, encryption_key_arn="encryptionKeyArn" )
Attributes
- enabled
Enables managed logging and defaults to true.
If set to false, managed logging will be turned off.
- encryption_key_arn
The KMS key ARN to encrypt the logs stored in managed log persistence.
MaximumAllowedResourcesProperty
- class CfnApplication.MaximumAllowedResourcesProperty(*, cpu, memory, disk=None)
Bases:
object
The maximum allowed cumulative resources for an application.
No new resources will be created once the limit is hit.
- Parameters:
cpu (
str
) – The maximum allowed CPU for an application.memory (
str
) – The maximum allowed resources for an application.disk (
Optional
[str
]) – The maximum allowed disk for an application.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless maximum_allowed_resources_property = emrserverless.CfnApplication.MaximumAllowedResourcesProperty( cpu="cpu", memory="memory", # the properties below are optional disk="disk" )
Attributes
- cpu
The maximum allowed CPU for an application.
- disk
The maximum allowed disk for an application.
- memory
The maximum allowed resources for an application.
MonitoringConfigurationProperty
- class CfnApplication.MonitoringConfigurationProperty(*, cloud_watch_logging_configuration=None, managed_persistence_monitoring_configuration=None, s3_monitoring_configuration=None)
Bases:
object
The configuration setting for monitoring logs.
- Parameters:
cloud_watch_logging_configuration (
Union
[IResolvable
,CloudWatchLoggingConfigurationProperty
,Dict
[str
,Any
],None
]) – The Amazon CloudWatch configuration for monitoring logs. You can configure your jobs to send log information to CloudWatch.managed_persistence_monitoring_configuration (
Union
[IResolvable
,ManagedPersistenceMonitoringConfigurationProperty
,Dict
[str
,Any
],None
]) – The managed log persistence configuration for a job run.s3_monitoring_configuration (
Union
[IResolvable
,S3MonitoringConfigurationProperty
,Dict
[str
,Any
],None
]) – The Amazon S3 configuration for monitoring log publishing.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless monitoring_configuration_property = emrserverless.CfnApplication.MonitoringConfigurationProperty( cloud_watch_logging_configuration=emrserverless.CfnApplication.CloudWatchLoggingConfigurationProperty( enabled=False, encryption_key_arn="encryptionKeyArn", log_group_name="logGroupName", log_stream_name_prefix="logStreamNamePrefix", log_type_map=[emrserverless.CfnApplication.LogTypeMapKeyValuePairProperty( key="key", value=["value"] )] ), managed_persistence_monitoring_configuration=emrserverless.CfnApplication.ManagedPersistenceMonitoringConfigurationProperty( enabled=False, encryption_key_arn="encryptionKeyArn" ), s3_monitoring_configuration=emrserverless.CfnApplication.S3MonitoringConfigurationProperty( encryption_key_arn="encryptionKeyArn", log_uri="logUri" ) )
Attributes
- cloud_watch_logging_configuration
The Amazon CloudWatch configuration for monitoring logs.
You can configure your jobs to send log information to CloudWatch.
- managed_persistence_monitoring_configuration
The managed log persistence configuration for a job run.
- s3_monitoring_configuration
The Amazon S3 configuration for monitoring log publishing.
NetworkConfigurationProperty
- class CfnApplication.NetworkConfigurationProperty(*, security_group_ids=None, subnet_ids=None)
Bases:
object
The network configuration for customer VPC connectivity.
- Parameters:
security_group_ids (
Optional
[Sequence
[str
]]) – The array of security group Ids for customer VPC connectivity.subnet_ids (
Optional
[Sequence
[str
]]) – The array of subnet Ids for customer VPC connectivity.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless network_configuration_property = emrserverless.CfnApplication.NetworkConfigurationProperty( security_group_ids=["securityGroupIds"], subnet_ids=["subnetIds"] )
Attributes
- security_group_ids
The array of security group Ids for customer VPC connectivity.
- subnet_ids
The array of subnet Ids for customer VPC connectivity.
S3MonitoringConfigurationProperty
- class CfnApplication.S3MonitoringConfigurationProperty(*, encryption_key_arn=None, log_uri=None)
Bases:
object
The Amazon S3 configuration for monitoring log publishing.
You can configure your jobs to send log information to Amazon S3.
- Parameters:
encryption_key_arn (
Optional
[str
]) – The KMS key ARN to encrypt the logs published to the given Amazon S3 destination.log_uri (
Optional
[str
]) – The Amazon S3 destination URI for log publishing.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless s3_monitoring_configuration_property = emrserverless.CfnApplication.S3MonitoringConfigurationProperty( encryption_key_arn="encryptionKeyArn", log_uri="logUri" )
Attributes
- encryption_key_arn
The KMS key ARN to encrypt the logs published to the given Amazon S3 destination.
- log_uri
The Amazon S3 destination URI for log publishing.
SchedulerConfigurationProperty
- class CfnApplication.SchedulerConfigurationProperty(*, max_concurrent_runs=None, queue_timeout_minutes=None)
Bases:
object
The scheduler configuration for batch and streaming jobs running on this application.
Supported with release labels emr-7.0.0 and above.
- Parameters:
max_concurrent_runs (
Union
[int
,float
,None
]) – The maximum concurrent job runs on this application. If scheduler configuration is enabled on your application, the default value is 15. The valid range is 1 to 1000.queue_timeout_minutes (
Union
[int
,float
,None
]) – The maximum duration in minutes for the job in QUEUED state. If scheduler configuration is enabled on your application, the default value is 360 minutes (6 hours). The valid range is from 15 to 720.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless scheduler_configuration_property = emrserverless.CfnApplication.SchedulerConfigurationProperty( max_concurrent_runs=123, queue_timeout_minutes=123 )
Attributes
- max_concurrent_runs
The maximum concurrent job runs on this application.
If scheduler configuration is enabled on your application, the default value is 15. The valid range is 1 to 1000.
- queue_timeout_minutes
The maximum duration in minutes for the job in QUEUED state.
If scheduler configuration is enabled on your application, the default value is 360 minutes (6 hours). The valid range is from 15 to 720.
WorkerConfigurationProperty
- class CfnApplication.WorkerConfigurationProperty(*, cpu, memory, disk=None, disk_type=None)
Bases:
object
The configuration of a worker.
For more information, see Supported worker configurations .
- Parameters:
cpu (
str
) – The CPU requirements of the worker configuration. Each worker can have 1, 2, 4, 8, or 16 vCPUs.memory (
str
) – The memory requirements of the worker configuration.disk (
Optional
[str
]) – The disk requirements of the worker configuration.disk_type (
Optional
[str
]) – The disk type for every worker instance of the work type. Shuffle optimized disks have higher performance characteristics and are better for shuffle heavy workloads. Default isSTANDARD
.
- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless worker_configuration_property = emrserverless.CfnApplication.WorkerConfigurationProperty( cpu="cpu", memory="memory", # the properties below are optional disk="disk", disk_type="diskType" )
Attributes
- cpu
The CPU requirements of the worker configuration.
Each worker can have 1, 2, 4, 8, or 16 vCPUs.
- disk
The disk requirements of the worker configuration.
- disk_type
The disk type for every worker instance of the work type.
Shuffle optimized disks have higher performance characteristics and are better for shuffle heavy workloads. Default is
STANDARD
.
- memory
The memory requirements of the worker configuration.
WorkerTypeSpecificationInputProperty
- class CfnApplication.WorkerTypeSpecificationInputProperty(*, image_configuration=None)
Bases:
object
The specifications for a worker type.
- Parameters:
image_configuration (
Union
[IResolvable
,ImageConfigurationInputProperty
,Dict
[str
,Any
],None
]) – The image configuration for a worker type.- See:
- ExampleMetadata:
fixture=_generated
Example:
# The code below shows an example of how to instantiate this type. # The values are placeholders you should change. from aws_cdk import aws_emrserverless as emrserverless worker_type_specification_input_property = emrserverless.CfnApplication.WorkerTypeSpecificationInputProperty( image_configuration=emrserverless.CfnApplication.ImageConfigurationInputProperty( image_uri="imageUri" ) )
Attributes
- image_configuration
The image configuration for a worker type.