CfnStudio

class aws_cdk.aws_emr.CfnStudio(scope, id, *, auth_mode, default_s3_location, engine_security_group_id, name, service_role, subnet_ids, vpc_id, workspace_security_group_id, description=None, idp_auth_url=None, idp_relay_state_parameter_name=None, tags=None, user_role=None)

Bases: CfnResource

A CloudFormation AWS::EMR::Studio.

The AWS::EMR::Studio resource specifies an Amazon EMR Studio. An EMR Studio is a web-based, integrated development environment for fully managed Jupyter notebooks that run on Amazon EMR clusters. For more information, see the *Amazon EMR Management Guide* .

CloudformationResource:: AWS::EMR::Studio
Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.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_emr as emr

cfn_studio = emr.CfnStudio(self, "MyCfnStudio",
    auth_mode="authMode",
    default_s3_location="defaultS3Location",
    engine_security_group_id="engineSecurityGroupId",
    name="name",
    service_role="serviceRole",
    subnet_ids=["subnetIds"],
    vpc_id="vpcId",
    workspace_security_group_id="workspaceSecurityGroupId",

    # the properties below are optional
    description="description",
    idp_auth_url="idpAuthUrl",
    idp_relay_state_parameter_name="idpRelayStateParameterName",
    tags=[CfnTag(
        key="key",
        value="value"
    )],
    user_role="userRole"
)

Create a new AWS::EMR::Studio.

Parameters:

scope (Construct) –
- scope in which this resource is defined.
id (str) –
- scoped id of the resource.
auth_mode (str) – Specifies whether the Studio authenticates users using IAM Identity Center or IAM.
default_s3_location (str) – The Amazon S3 location to back up EMR Studio Workspaces and notebook files.
engine_security_group_id (str) – The ID of the Amazon EMR Studio Engine security group. The Engine security group allows inbound network traffic from the Workspace security group, and it must be in the same VPC specified by VpcId .
name (str) – A descriptive name for the Amazon EMR Studio.
service_role (str) – The Amazon Resource Name (ARN) of the IAM role that will be assumed by the Amazon EMR Studio. The service role provides a way for Amazon EMR Studio to interoperate with other AWS services.
subnet_ids (Sequence[str]) – A list of subnet IDs to associate with the Amazon EMR Studio. A Studio can have a maximum of 5 subnets. The subnets must belong to the VPC specified by VpcId . Studio users can create a Workspace in any of the specified subnets.
vpc_id (str) – The ID of the Amazon Virtual Private Cloud (Amazon VPC) to associate with the Studio.
workspace_security_group_id (str) – The ID of the Workspace security group associated with the Amazon EMR Studio. The Workspace security group allows outbound network traffic to resources in the Engine security group and to the internet.
description (Optional[str]) – A detailed description of the Amazon EMR Studio.
idp_auth_url (Optional[str]) – Your identity provider’s authentication endpoint. Amazon EMR Studio redirects federated users to this endpoint for authentication when logging in to a Studio with the Studio URL.
idp_relay_state_parameter_name (Optional[str]) – The name of your identity provider’s RelayState parameter.
tags (Optional[Sequence[Union[CfnTag, Dict[str, Any]]]]) – An array of key-value pairs to apply to this resource. For more information, see Tag .
user_role (Optional[str]) – The Amazon Resource Name (ARN) of the IAM user role that will be assumed by users and groups logged in to a Studio. The permissions attached to this IAM role can be scoped down for each user or group using session policies. You only need to specify UserRole when you set AuthMode to SSO .

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

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 prefix path 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 to addOverride 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: true
default (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:: Reference

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

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::EMR::Studio'

attr_arn

The Amazon Resource Name (ARN) of the Amazon EMR Studio.

For example: arn:aws:elasticmapreduce:us-east-1:653XXXXXXXXX:studio/es-EXAMPLE12345678XXXXXXXXXXX .

CloudformationAttribute:: Arn

attr_studio_id

The ID of the Amazon EMR Studio.

For example: es-EXAMPLE12345678XXXXXXXXXXX .

CloudformationAttribute:: StudioId

attr_url

The unique access URL of the Amazon EMR Studio.

For example: https://es-EXAMPLE12345678XXXXXXXXXXX.emrstudio-prod.us-east-1.amazonaws.com .

CloudformationAttribute:: Url

auth_mode

Specifies whether the Studio authenticates users using IAM Identity Center or IAM.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-authmode

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.

default_s3_location

The Amazon S3 location to back up EMR Studio Workspaces and notebook files.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-defaults3location

description

A detailed description of the Amazon EMR Studio.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-description

engine_security_group_id

The ID of the Amazon EMR Studio Engine security group.

The Engine security group allows inbound network traffic from the Workspace security group, and it must be in the same VPC specified by VpcId .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-enginesecuritygroupid

idp_auth_url

Your identity provider’s authentication endpoint.

Amazon EMR Studio redirects federated users to this endpoint for authentication when logging in to a Studio with the Studio URL.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-idpauthurl

idp_relay_state_parameter_name

The name of your identity provider’s RelayState parameter.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-idprelaystateparametername

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

A descriptive name for the Amazon EMR Studio.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-name

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 }).

service_role

The Amazon Resource Name (ARN) of the IAM role that will be assumed by the Amazon EMR Studio.

The service role provides a way for Amazon EMR Studio to interoperate with other AWS services.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-servicerole

stack

The stack in which this element is defined.

CfnElements must be defined within a stack scope (directly or indirectly).

subnet_ids

A list of subnet IDs to associate with the Amazon EMR Studio.

A Studio can have a maximum of 5 subnets. The subnets must belong to the VPC specified by VpcId . Studio users can create a Workspace in any of the specified subnets.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-subnetids

tags

An array of key-value pairs to apply to this resource.

For more information, see Tag .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-tags

user_role

The Amazon Resource Name (ARN) of the IAM user role that will be assumed by users and groups logged in to a Studio.

The permissions attached to this IAM role can be scoped down for each user or group using session policies. You only need to specify UserRole when you set AuthMode to SSO .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-userrole

vpc_id

The ID of the Amazon Virtual Private Cloud (Amazon VPC) to associate with the Studio.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-vpcid

workspace_security_group_id

The ID of the Workspace security group associated with the Amazon EMR Studio.

The Workspace security group allows outbound network traffic to resources in the Engine security group and to the internet.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-emr-studio.html#cfn-emr-studio-workspacesecuritygroupid

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