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Paws::Glue::DevEndpoint(3) User Contributed Perl Documentation Paws::Glue::DevEndpoint(3)

Paws::Glue::DevEndpoint

This class represents one of two things:

Arguments in a call to a service

Use the attributes of this class as arguments to methods. You shouldn't make instances of this class. Each attribute should be used as a named argument in the calls that expect this type of object.

As an example, if Att1 is expected to be a Paws::Glue::DevEndpoint object:

  $service_obj->Method(Att1 => { Arguments => $value, ..., ZeppelinRemoteSparkInterpreterPort => $value  });

Results returned from an API call

Use accessors for each attribute. If Att1 is expected to be an Paws::Glue::DevEndpoint object:

  $result = $service_obj->Method(...);
  $result->Att1->Arguments

A development endpoint where a developer can remotely debug extract, transform, and load (ETL) scripts.

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.

The AWS Availability Zone where this "DevEndpoint" is located.

The point in time at which this DevEndpoint was created.

The name of the "DevEndpoint".

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".

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.

You can only use pure Python libraries with a "DevEndpoint". Libraries that rely on C extensions, such as the pandas (http://pandas.pydata.org/) Python data analysis library, are not currently supported.

The reason for a current failure in this "DevEndpoint".

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 (https://docs.aws.amazon.com/glue/latest/dg/add-job.html) 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.

The point in time at which this "DevEndpoint" was last modified.

The status of the last update.

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

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".

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.

The public IP address used by this "DevEndpoint". The "PublicAddress" field is present only when you create a non-virtual private cloud (VPC) "DevEndpoint".

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.

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.

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.

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

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

A list of security group identifiers used in this "DevEndpoint".

The current status of this "DevEndpoint".

The subnet ID for this "DevEndpoint".

The ID of the virtual private cloud (VPC) used by this "DevEndpoint".

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.

The YARN endpoint address used by this "DevEndpoint".

The Apache Zeppelin port for the remote Apache Spark interpreter.

This class forms part of Paws, describing an object used in Paws::Glue

The source code is located here: <https://github.com/pplu/aws-sdk-perl>

Please report bugs to: <https://github.com/pplu/aws-sdk-perl/issues>

2022-06-01 perl v5.40.2

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