CfnDevEndpoint

class aws_cdk.aws_glue.CfnDevEndpoint(scope, id, *, role_arn, arguments=None, endpoint_name=None, extra_jars_s3_path=None, extra_python_libs_s3_path=None, glue_version=None, number_of_nodes=None, number_of_workers=None, public_key=None, public_keys=None, security_configuration=None, security_group_ids=None, subnet_id=None, tags=None, worker_type=None)

Bases: CfnResource

A CloudFormation AWS::Glue::DevEndpoint.

The AWS::Glue::DevEndpoint resource specifies a development endpoint where a developer can remotely debug ETL scripts for AWS Glue . For more information, see DevEndpoint Structure in the AWS Glue Developer Guide.

CloudformationResource:: AWS::Glue::DevEndpoint
Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.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_glue as glue

# arguments_: Any
# tags: Any

cfn_dev_endpoint = glue.CfnDevEndpoint(self, "MyCfnDevEndpoint",
    role_arn="roleArn",

    # the properties below are optional
    arguments=arguments_,
    endpoint_name="endpointName",
    extra_jars_s3_path="extraJarsS3Path",
    extra_python_libs_s3_path="extraPythonLibsS3Path",
    glue_version="glueVersion",
    number_of_nodes=123,
    number_of_workers=123,
    public_key="publicKey",
    public_keys=["publicKeys"],
    security_configuration="securityConfiguration",
    security_group_ids=["securityGroupIds"],
    subnet_id="subnetId",
    tags=tags,
    worker_type="workerType"
)

Create a new AWS::Glue::DevEndpoint.

Parameters:

scope (Construct) –
- scope in which this resource is defined.
id (str) –
- scoped id of the resource.
role_arn (str) – The Amazon Resource Name (ARN) of the IAM role used in this DevEndpoint .
arguments (Optional[Any]) – A map of arguments used to configure the DevEndpoint . Valid arguments are: - "--enable-glue-datacatalog": "" - "GLUE_PYTHON_VERSION": "3" - "GLUE_PYTHON_VERSION": "2" You can specify a version of Python support for development endpoints by using the Arguments parameter in the CreateDevEndpoint or UpdateDevEndpoint APIs. If no arguments are provided, the version defaults to Python 2.
endpoint_name (Optional[str]) – The name of the DevEndpoint .
extra_jars_s3_path (Optional[str]) – The path to one or more Java .jar files in an S3 bucket that should be loaded in your DevEndpoint . .. epigraph:: You can only use pure Java/Scala libraries with a DevEndpoint .
extra_python_libs_s3_path (Optional[str]) – The paths to one or more Python libraries in an Amazon S3 bucket that should be loaded in your DevEndpoint . Multiple values must be complete paths separated by a comma. .. epigraph:: You can only use pure Python libraries with a DevEndpoint . Libraries that rely on C extensions, such as the pandas Python data analysis library, are not currently supported.
glue_version (Optional[str]) – The AWS Glue version determines the versions of Apache Spark and Python that AWS Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints. For more information about the available AWS Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide. Development endpoints that are created without specifying a Glue version default to Glue 0.9. You can specify a version of Python support for development endpoints by using the Arguments parameter in the CreateDevEndpoint or UpdateDevEndpoint APIs. If no arguments are provided, the version defaults to Python 2.
number_of_nodes (Union[int, float, None]) – The number of AWS Glue Data Processing Units (DPUs) allocated to this DevEndpoint .
number_of_workers (Union[int, float, None]) – The number of workers of a defined workerType that are allocated to the development endpoint. The maximum number of workers you can define are 299 for G.1X , and 149 for G.2X .
public_key (Optional[str]) – The public key to be used by this DevEndpoint for authentication. This attribute is provided for backward compatibility because the recommended attribute to use is public keys.
public_keys (Optional[Sequence[str]]) – A list of public keys to be used by the DevEndpoints for authentication. Using this attribute is preferred over a single public key because the public keys allow you to have a different private key per client. .. epigraph:: If you previously created an endpoint with a public key, you must remove that key to be able to set a list of public keys. Call the UpdateDevEndpoint API operation with the public key content in the deletePublicKeys attribute, and the list of new keys in the addPublicKeys attribute.
security_configuration (Optional[str]) – The name of the SecurityConfiguration structure to be used with this DevEndpoint .
security_group_ids (Optional[Sequence[str]]) – A list of security group identifiers used in this DevEndpoint .
subnet_id (Optional[str]) – The subnet ID for this DevEndpoint .
tags (Optional[Any]) – The tags to use with this DevEndpoint.
worker_type (Optional[str]) – The type of predefined worker that is allocated to the development endpoint. Accepts a value of Standard, G.1X, or G.2X. - For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker. - For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs. - For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs. Known issue: when a development endpoint is created with the G.2X WorkerType configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk.

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::Glue::DevEndpoint'

arguments

A map of arguments used to configure the DevEndpoint .

Valid arguments are:

"--enable-glue-datacatalog": ""
"GLUE_PYTHON_VERSION": "3"
"GLUE_PYTHON_VERSION": "2"

You can specify a version of Python support for development endpoints by using the Arguments parameter in the CreateDevEndpoint or UpdateDevEndpoint APIs. If no arguments are provided, the version defaults to Python 2.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-arguments

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.

endpoint_name

The name of the DevEndpoint .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-endpointname

extra_jars_s3_path

The path to one or more Java .jar files in an S3 bucket that should be loaded in your DevEndpoint .

You can only use pure Java/Scala libraries with a DevEndpoint .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-extrajarss3path

extra_python_libs_s3_path

The paths to one or more Python libraries in an Amazon S3 bucket that should be loaded in your DevEndpoint .

Multiple values must be complete paths separated by a comma. .. epigraph:

You can only use pure Python libraries with a ``DevEndpoint`` . Libraries that rely on C extensions, such as the `pandas <https://docs.aws.amazon.com/http://pandas.pydata.org/>`_ Python data analysis library, are not currently supported.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-extrapythonlibss3path

glue_version

The AWS Glue version determines the versions of Apache Spark and Python that AWS Glue supports.

The Python version indicates the version supported for running your ETL scripts on development endpoints.

For more information about the available AWS Glue versions and corresponding Spark and Python versions, see Glue version in the developer guide.

Development endpoints that are created without specifying a Glue version default to Glue 0.9.

You can specify a version of Python support for development endpoints by using the Arguments parameter in the CreateDevEndpoint or UpdateDevEndpoint APIs. If no arguments are provided, the version defaults to Python 2.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-glueversion

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.

node: The construct tree node associated with this construct.

number_of_nodes

The number of AWS Glue Data Processing Units (DPUs) allocated to this DevEndpoint .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-numberofnodes

number_of_workers

The number of workers of a defined workerType that are allocated to the development endpoint.

The maximum number of workers you can define are 299 for G.1X , and 149 for G.2X .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-numberofworkers

public_key

The public key to be used by this DevEndpoint for authentication.

This attribute is provided for backward compatibility because the recommended attribute to use is public keys.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-publickey

public_keys

A list of public keys to be used by the DevEndpoints for authentication.

Using this attribute is preferred over a single public key because the public keys allow you to have a different private key per client. .. epigraph:

If you previously created an endpoint with a public key, you must remove that key to be able to set a list of public keys. Call the ``UpdateDevEndpoint`` API operation with the public key content in the ``deletePublicKeys`` attribute, and the list of new keys in the ``addPublicKeys`` attribute.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-publickeys

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 }).

role_arn

The Amazon Resource Name (ARN) of the IAM role used in this DevEndpoint .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-rolearn

security_configuration

The name of the SecurityConfiguration structure to be used with this DevEndpoint .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-securityconfiguration

security_group_ids

A list of security group identifiers used in this DevEndpoint .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-securitygroupids

stack

The stack in which this element is defined.

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

subnet_id

The subnet ID for this DevEndpoint .

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-subnetid

tags

The tags to use with this DevEndpoint.

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

worker_type

The type of predefined worker that is allocated to the development endpoint.

Accepts a value of Standard, G.1X, or G.2X.

For the Standard worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker.
For the G.1X worker type, each worker maps to 1 DPU (4 vCPU, 16 GB of memory, 64 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.
For the G.2X worker type, each worker maps to 2 DPU (8 vCPU, 32 GB of memory, 128 GB disk), and provides 1 executor per worker. We recommend this worker type for memory-intensive jobs.

Known issue: when a development endpoint is created with the G.2X WorkerType configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk.

Link:: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-glue-devendpoint.html#cfn-glue-devendpoint-workertype

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