AWS CloudFormation
User Guide (Version )

AWS::Glue::MLTransform

The AWS::Glue::MLTransform is an AWS Glue resource type that manages machine learning transforms.

Syntax

To declare this entity in your AWS CloudFormation template, use the following syntax:

JSON

{ "Type" : "AWS::Glue::MLTransform", "Properties" : { "Description" : String, "GlueVersion" : String, "InputRecordTables" : InputRecordTables, "MaxCapacity" : Double, "MaxRetries" : Integer, "Name" : String, "NumberOfWorkers" : Integer, "Role" : String, "Timeout" : Integer, "TransformParameters" : TransformParameters, "WorkerType" : String } }

YAML

Type: AWS::Glue::MLTransform Properties: Description: String GlueVersion: String InputRecordTables: InputRecordTables MaxCapacity: Double MaxRetries: Integer Name: String NumberOfWorkers: Integer Role: String Timeout: Integer TransformParameters: TransformParameters WorkerType: String

Properties

Description

A user-defined, long-form description text for the machine learning transform.

Required: No

Type: String

Update requires: No interruption

GlueVersion

This value determines which version of AWS Glue this machine learning transform is compatible with. Glue 1.0 is recommended for most customers. If the value is not set, the Glue compatibility defaults to Glue 0.9. For more information, see AWS Glue Versions in the developer guide.

Required: No

Type: String

Update requires: No interruption

InputRecordTables

A list of AWS Glue table definitions used by the transform.

Required: Yes

Type: InputRecordTables

Update requires: Replacement

MaxCapacity

The number of AWS Glue data processing units (DPUs) that are allocated to task runs for this transform. You can allocate from 2 to 100 DPUs; the default is 10. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory. For more information, see the AWS Glue pricing page.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

  • If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.

  • If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.

  • If WorkerType is set, then NumberOfWorkers is required (and vice versa).

  • MaxCapacity and NumberOfWorkers must both be at least 1.

When the WorkerType field is set to a value other than Standard, the MaxCapacity field is set automatically and becomes read-only.

Required: No

Type: Double

Update requires: No interruption

MaxRetries

The maximum number of times to retry after an MLTaskRun of the machine learning transform fails.

Required: No

Type: Integer

Update requires: No interruption

Name

A user-defined name for the machine learning transform. Names are required to be unique. Name is optional:

  • If you supply Name, the stack cannot be repeatedly created.

  • If Name is not provided, a randomly generated name will be used instead.

Required: No

Type: String

Update requires: No interruption

NumberOfWorkers

The number of workers of a defined workerType that are allocated when a task of the transform runs.

If WorkerType is set, then NumberOfWorkers is required (and vice versa).

Required: No

Type: Integer

Update requires: No interruption

Role

The name or Amazon Resource Name (ARN) of the IAM role with the required permissions. The required permissions include both AWS Glue service role permissions to AWS Glue resources, and Amazon S3 permissions required by the transform.

  • This role needs AWS Glue service role permissions to allow access to resources in AWS Glue. See Attach a Policy to IAM Users That Access AWS Glue.

  • This role needs permission to your Amazon Simple Storage Service (Amazon S3) sources, targets, temporary directory, scripts, and any libraries used by the task run for this transform.

Required: Yes

Type: String

Update requires: No interruption

Timeout

The timeout in minutes of the machine learning transform.

Required: No

Type: Integer

Update requires: No interruption

TransformParameters

The algorithm-specific parameters that are associated with the machine learning transform.

Required: Yes

Type: TransformParameters

Update requires: No interruption

WorkerType

The type of predefined worker that is allocated when a task of this transform runs. 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 provides 4 vCPU, 16 GB of memory and a 64GB disk, and 1 executor per worker.

  • For the G.2X worker type, each worker provides 8 vCPU, 32 GB of memory and a 128GB disk, and 1 executor per worker.

MaxCapacity is a mutually exclusive option with NumberOfWorkers and WorkerType.

  • If either NumberOfWorkers or WorkerType is set, then MaxCapacity cannot be set.

  • If MaxCapacity is set then neither NumberOfWorkers or WorkerType can be set.

  • If WorkerType is set, then NumberOfWorkers is required (and vice versa).

  • MaxCapacity and NumberOfWorkers must both be at least 1.

Required: No

Type: String

Update requires: No interruption

Return Values

Ref

When you pass the logical ID of this resource to the intrinsic Ref function, Ref returns the transform ID.

For more information about using the Ref function, see Ref.