class Aws::Glue::Types::CreateDevEndpointRequest
@note When making an API call, you may pass CreateDevEndpointRequest
data as a hash: { endpoint_name: "GenericString", # required role_arn: "RoleArn", # required security_group_ids: ["GenericString"], subnet_id: "GenericString", public_key: "GenericString", public_keys: ["GenericString"], number_of_nodes: 1, worker_type: "Standard", # accepts Standard, G.1X, G.2X glue_version: "GlueVersionString", number_of_workers: 1, extra_python_libs_s3_path: "GenericString", extra_jars_s3_path: "GenericString", security_configuration: "NameString", tags: { "TagKey" => "TagValue", }, arguments: { "GenericString" => "GenericString", }, }
@!attribute [rw] endpoint_name
The name to be assigned to the new `DevEndpoint`. @return [String]
@!attribute [rw] role_arn
The IAM role for the `DevEndpoint`. @return [String]
@!attribute [rw] security_group_ids
Security group IDs for the security groups to be used by the new `DevEndpoint`. @return [Array<String>]
@!attribute [rw] subnet_id
The subnet ID for the new `DevEndpoint` to use. @return [String]
@!attribute [rw] 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. @return [String]
@!attribute [rw] public_keys
A list of public keys to be used by the development endpoints for authentication. The use of this attribute is preferred over a single public key because the public keys allow you to have a different private key per client. <note markdown="1"> 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 with the public key content in the `deletePublicKeys` attribute, and the list of new keys in the `addPublicKeys` attribute. </note> @return [Array<String>]
@!attribute [rw] number_of_nodes
The number of Glue Data Processing Units (DPUs) to allocate to this `DevEndpoint`. @return [Integer]
@!attribute [rw] 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. @return [String]
@!attribute [rw] glue_version
Glue version determines the versions of Apache Spark and Python that Glue supports. The Python version indicates the version supported for running your ETL scripts on development endpoints. For more information about the available Glue versions and corresponding Spark and Python versions, see [Glue version][1] 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. [1]: https://docs.aws.amazon.com/glue/latest/dg/add-job.html @return [String]
@!attribute [rw] 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`. @return [Integer]
@!attribute [rw] 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. <note markdown="1"> You can only use pure Python libraries with a `DevEndpoint`. Libraries that rely on C extensions, such as the [pandas][1] Python data analysis library, are not yet supported. </note> [1]: http://pandas.pydata.org/ @return [String]
@!attribute [rw] extra_jars_s3_path
The path to one or more Java `.jar` files in an S3 bucket that should be loaded in your `DevEndpoint`. @return [String]
@!attribute [rw] security_configuration
The name of the `SecurityConfiguration` structure to be used with this `DevEndpoint`. @return [String]
@!attribute [rw] tags
The tags to use with this DevEndpoint. You may use tags to limit access to the DevEndpoint. For more information about tags in Glue, see [Amazon Web Services Tags in Glue][1] in the developer guide. [1]: https://docs.aws.amazon.com/glue/latest/dg/monitor-tags.html @return [Hash<String,String>]
@!attribute [rw] arguments
A map of arguments used to configure the `DevEndpoint`. @return [Hash<String,String>]
@see docs.aws.amazon.com/goto/WebAPI/glue-2017-03-31/CreateDevEndpointRequest AWS API Documentation
Constants
- SENSITIVE