CfnDevEndpointProps
- class aws_cdk.aws_glue.CfnDevEndpointProps(*, 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:
object
Properties for defining a
CfnDevEndpoint
.- Parameters:
role_arn (
str
) – The Amazon Resource Name (ARN) of the IAM role used in thisDevEndpoint
.arguments (
Any
) – A map of arguments used to configure theDevEndpoint
. 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 theArguments
parameter in theCreateDevEndpoint
orUpdateDevEndpoint
APIs. If no arguments are provided, the version defaults to Python 2.endpoint_name (
Optional
[str
]) – The name of theDevEndpoint
.extra_jars_s3_path (
Optional
[str
]) – The path to one or more Java.jar
files in an S3 bucket that should be loaded in yourDevEndpoint
. .. epigraph:: You can only use pure Java/Scala libraries with aDevEndpoint
.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 yourDevEndpoint
. Multiple values must be complete paths separated by a comma. .. epigraph:: You can only use pure Python libraries with aDevEndpoint
. 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 theArguments
parameter in theCreateDevEndpoint
orUpdateDevEndpoint
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 thisDevEndpoint
.number_of_workers (
Union
[int
,float
,None
]) – The number of workers of a definedworkerType
that are allocated to the development endpoint. The maximum number of workers you can define are 299 forG.1X
, and 149 forG.2X
.public_key (
Optional
[str
]) – The public key to be used by thisDevEndpoint
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 theDevEndpoints
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 theUpdateDevEndpoint
API operation with the public key content in thedeletePublicKeys
attribute, and the list of new keys in theaddPublicKeys
attribute.security_configuration (
Optional
[str
]) – The name of theSecurityConfiguration
structure to be used with thisDevEndpoint
.security_group_ids (
Optional
[Sequence
[str
]]) – A list of security group identifiers used in thisDevEndpoint
.subnet_id (
Optional
[str
]) – The subnet ID for thisDevEndpoint
.tags (
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 theStandard
worker type, each worker provides 4 vCPU, 16 GB of memory and a 50GB disk, and 2 executors per worker. - For theG.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 theG.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 theG.2X
WorkerType
configuration, the Spark drivers for the development endpoint will run on 4 vCPU, 16 GB of memory, and a 64 GB disk.
- See:
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. from aws_cdk import aws_glue as glue # arguments_: Any # tags: Any cfn_dev_endpoint_props = glue.CfnDevEndpointProps( 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" )
Attributes
- 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 theCreateDevEndpoint
orUpdateDevEndpoint
APIs. If no arguments are provided, the version defaults to Python 2.
- endpoint_name
The name of the
DevEndpoint
.
- extra_jars_s3_path
The path to one or more Java
.jar
files in an S3 bucket that should be loaded in yourDevEndpoint
.You can only use pure Java/Scala libraries with a
DevEndpoint
.
- 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.
- 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 theCreateDevEndpoint
orUpdateDevEndpoint
APIs. If no arguments are provided, the version defaults to Python 2.
- number_of_nodes
The number of AWS Glue Data Processing Units (DPUs) allocated to this
DevEndpoint
.
- 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 forG.2X
.
- 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.
- 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.
- role_arn
The Amazon Resource Name (ARN) of the IAM role used in this
DevEndpoint
.
- security_configuration
The name of the
SecurityConfiguration
structure to be used with thisDevEndpoint
.
- security_group_ids
A list of security group identifiers used in this
DevEndpoint
.
- subnet_id
The subnet ID for this
DevEndpoint
.
- tags
The tags to use with this DevEndpoint.
- 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.