class Aws::Glue::Types::DevEndpoint
A development endpoint where a developer can remotely debug extract, transform, and load (ETL) scripts.
@!attribute [rw] endpoint_name
The name of the `DevEndpoint`. @return [String]
@!attribute [rw] role_arn
The Amazon Resource Name (ARN) of the IAM role used in this `DevEndpoint`. @return [String]
@!attribute [rw] security_group_ids
A list of security group identifiers used in this `DevEndpoint`. @return [Array<String>]
@!attribute [rw] subnet_id
The subnet ID for this `DevEndpoint`. @return [String]
@!attribute [rw] yarn_endpoint_address
The YARN endpoint address used by this `DevEndpoint`. @return [String]
@!attribute [rw] private_address
A private IP address to access the `DevEndpoint` within a VPC if the `DevEndpoint` is created within one. The `PrivateAddress` field is present only when you create the `DevEndpoint` within your VPC. @return [String]
@!attribute [rw] zeppelin_remote_spark_interpreter_port
The Apache Zeppelin port for the remote Apache Spark interpreter. @return [Integer]
@!attribute [rw] public_address
The public IP address used by this `DevEndpoint`. The `PublicAddress` field is present only when you create a non-virtual private cloud (VPC) `DevEndpoint`. @return [String]
@!attribute [rw] status
The current status of this `DevEndpoint`. @return [String]
@!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] number_of_nodes
The number of Glue Data Processing Units (DPUs) allocated to this `DevEndpoint`. @return [Integer]
@!attribute [rw] availability_zone
The AWS Availability Zone where this `DevEndpoint` is located. @return [String]
@!attribute [rw] vpc_id
The ID of the virtual private cloud (VPC) used by this `DevEndpoint`. @return [String]
@!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 currently 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`. <note markdown="1"> You can only use pure Java/Scala libraries with a `DevEndpoint`. </note> @return [String]
@!attribute [rw] failure_reason
The reason for a current failure in this `DevEndpoint`. @return [String]
@!attribute [rw] last_update_status
The status of the last update. @return [String]
@!attribute [rw] created_timestamp
The point in time at which this DevEndpoint was created. @return [Time]
@!attribute [rw] last_modified_timestamp
The point in time at which this `DevEndpoint` was last modified. @return [Time]
@!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 `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. <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 operation 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] security_configuration
The name of the `SecurityConfiguration` structure to be used with this `DevEndpoint`. @return [String]
@!attribute [rw] arguments
A map of arguments used to configure the `DevEndpoint`. Valid arguments are: * `"--enable-glue-datacatalog": ""` ^ 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. @return [Hash<String,String>]
@see docs.aws.amazon.com/goto/WebAPI/glue-2017-03-31/DevEndpoint AWS API Documentation
Constants
- SENSITIVE