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Viewing docs for AWS Cloud Control v1.76.0
published on Monday, Aug 24, 2026 by Pulumi
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We recommend new projects start with resources from the AWS provider.

Viewing docs for AWS Cloud Control v1.76.0
published on Monday, Aug 24, 2026 by Pulumi

    Resource Type definition for AWS::Glue::MLTransform

    Create MlTransform Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new MlTransform(name: string, args: MlTransformArgs, opts?: CustomResourceOptions);
    @overload
    def MlTransform(resource_name: str,
                    args: MlTransformArgs,
                    opts: Optional[ResourceOptions] = None)
    
    @overload
    def MlTransform(resource_name: str,
                    opts: Optional[ResourceOptions] = None,
                    role: Optional[str] = None,
                    transform_parameters: Optional[MlTransformTransformParametersArgs] = None,
                    input_record_tables: Optional[MlTransformInputRecordTablesArgs] = None,
                    number_of_workers: Optional[int] = None,
                    max_retries: Optional[int] = None,
                    name: Optional[str] = None,
                    description: Optional[str] = None,
                    max_capacity: Optional[float] = None,
                    tags: Optional[Mapping[str, str]] = None,
                    timeout: Optional[int] = None,
                    transform_encryption: Optional[MlTransformTransformEncryptionArgs] = None,
                    glue_version: Optional[str] = None,
                    worker_type: Optional[str] = None)
    func NewMlTransform(ctx *Context, name string, args MlTransformArgs, opts ...ResourceOption) (*MlTransform, error)
    public MlTransform(string name, MlTransformArgs args, CustomResourceOptions? opts = null)
    public MlTransform(String name, MlTransformArgs args)
    public MlTransform(String name, MlTransformArgs args, CustomResourceOptions options)
    
    type: aws-native:glue:MlTransform
    properties: # The arguments to resource properties.
    options: # Bag of options to control resource's behavior.
    
    
    resource "aws-native_glue_ml_transform" "name" {
        # resource properties
    }

    Parameters

    name string
    The unique name of the resource.
    args MlTransformArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args MlTransformArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args MlTransformArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args MlTransformArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args MlTransformArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    MlTransform Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The MlTransform resource accepts the following input properties:

    InputRecordTables Pulumi.AwsNative.Glue.Inputs.MlTransformInputRecordTables
    A list of AWS Glue table definitions used by the transform.
    Role string
    The name or ARN of the IAM role with the required permissions.
    TransformParameters Pulumi.AwsNative.Glue.Inputs.MlTransformTransformParameters
    The algorithm-specific parameters that are associated with the machine learning transform.
    Description string
    A user-defined, long-form description text for the machine learning transform.
    GlueVersion string
    The version of AWS Glue this machine learning transform is compatible with.
    MaxCapacity double
    The number of AWS Glue DPUs allocated to task runs for this transform.
    MaxRetries int
    The maximum number of times to retry after an MLTaskRun fails.
    Name string
    A user-defined name for the machine learning transform.
    NumberOfWorkers int
    The number of workers of a defined workerType that are allocated when a task runs.
    Tags Dictionary<string, string>
    The tags to use with this machine learning transform.
    Timeout int
    The timeout in minutes of the machine learning transform.
    TransformEncryption Pulumi.AwsNative.Glue.Inputs.MlTransformTransformEncryption
    The encryption-at-rest settings of the transform.
    WorkerType string
    The type of predefined worker that is allocated when a task runs.
    InputRecordTables MlTransformInputRecordTablesArgs
    A list of AWS Glue table definitions used by the transform.
    Role string
    The name or ARN of the IAM role with the required permissions.
    TransformParameters MlTransformTransformParametersArgs
    The algorithm-specific parameters that are associated with the machine learning transform.
    Description string
    A user-defined, long-form description text for the machine learning transform.
    GlueVersion string
    The version of AWS Glue this machine learning transform is compatible with.
    MaxCapacity float64
    The number of AWS Glue DPUs allocated to task runs for this transform.
    MaxRetries int
    The maximum number of times to retry after an MLTaskRun fails.
    Name string
    A user-defined name for the machine learning transform.
    NumberOfWorkers int
    The number of workers of a defined workerType that are allocated when a task runs.
    Tags map[string]string
    The tags to use with this machine learning transform.
    Timeout int
    The timeout in minutes of the machine learning transform.
    TransformEncryption MlTransformTransformEncryptionArgs
    The encryption-at-rest settings of the transform.
    WorkerType string
    The type of predefined worker that is allocated when a task runs.
    input_record_tables object
    A list of AWS Glue table definitions used by the transform.
    role string
    The name or ARN of the IAM role with the required permissions.
    transform_parameters object
    The algorithm-specific parameters that are associated with the machine learning transform.
    description string
    A user-defined, long-form description text for the machine learning transform.
    glue_version string
    The version of AWS Glue this machine learning transform is compatible with.
    max_capacity number
    The number of AWS Glue DPUs allocated to task runs for this transform.
    max_retries number
    The maximum number of times to retry after an MLTaskRun fails.
    name string
    A user-defined name for the machine learning transform.
    number_of_workers number
    The number of workers of a defined workerType that are allocated when a task runs.
    tags map(string)
    The tags to use with this machine learning transform.
    timeout number
    The timeout in minutes of the machine learning transform.
    transform_encryption object
    The encryption-at-rest settings of the transform.
    worker_type string
    The type of predefined worker that is allocated when a task runs.
    inputRecordTables MlTransformInputRecordTables
    A list of AWS Glue table definitions used by the transform.
    role String
    The name or ARN of the IAM role with the required permissions.
    transformParameters MlTransformTransformParameters
    The algorithm-specific parameters that are associated with the machine learning transform.
    description String
    A user-defined, long-form description text for the machine learning transform.
    glueVersion String
    The version of AWS Glue this machine learning transform is compatible with.
    maxCapacity Double
    The number of AWS Glue DPUs allocated to task runs for this transform.
    maxRetries Integer
    The maximum number of times to retry after an MLTaskRun fails.
    name String
    A user-defined name for the machine learning transform.
    numberOfWorkers Integer
    The number of workers of a defined workerType that are allocated when a task runs.
    tags Map<String,String>
    The tags to use with this machine learning transform.
    timeout Integer
    The timeout in minutes of the machine learning transform.
    transformEncryption MlTransformTransformEncryption
    The encryption-at-rest settings of the transform.
    workerType String
    The type of predefined worker that is allocated when a task runs.
    inputRecordTables MlTransformInputRecordTables
    A list of AWS Glue table definitions used by the transform.
    role string
    The name or ARN of the IAM role with the required permissions.
    transformParameters MlTransformTransformParameters
    The algorithm-specific parameters that are associated with the machine learning transform.
    description string
    A user-defined, long-form description text for the machine learning transform.
    glueVersion string
    The version of AWS Glue this machine learning transform is compatible with.
    maxCapacity number
    The number of AWS Glue DPUs allocated to task runs for this transform.
    maxRetries number
    The maximum number of times to retry after an MLTaskRun fails.
    name string
    A user-defined name for the machine learning transform.
    numberOfWorkers number
    The number of workers of a defined workerType that are allocated when a task runs.
    tags {[key: string]: string}
    The tags to use with this machine learning transform.
    timeout number
    The timeout in minutes of the machine learning transform.
    transformEncryption MlTransformTransformEncryption
    The encryption-at-rest settings of the transform.
    workerType string
    The type of predefined worker that is allocated when a task runs.
    input_record_tables MlTransformInputRecordTablesArgs
    A list of AWS Glue table definitions used by the transform.
    role str
    The name or ARN of the IAM role with the required permissions.
    transform_parameters MlTransformTransformParametersArgs
    The algorithm-specific parameters that are associated with the machine learning transform.
    description str
    A user-defined, long-form description text for the machine learning transform.
    glue_version str
    The version of AWS Glue this machine learning transform is compatible with.
    max_capacity float
    The number of AWS Glue DPUs allocated to task runs for this transform.
    max_retries int
    The maximum number of times to retry after an MLTaskRun fails.
    name str
    A user-defined name for the machine learning transform.
    number_of_workers int
    The number of workers of a defined workerType that are allocated when a task runs.
    tags Mapping[str, str]
    The tags to use with this machine learning transform.
    timeout int
    The timeout in minutes of the machine learning transform.
    transform_encryption MlTransformTransformEncryptionArgs
    The encryption-at-rest settings of the transform.
    worker_type str
    The type of predefined worker that is allocated when a task runs.
    inputRecordTables Property Map
    A list of AWS Glue table definitions used by the transform.
    role String
    The name or ARN of the IAM role with the required permissions.
    transformParameters Property Map
    The algorithm-specific parameters that are associated with the machine learning transform.
    description String
    A user-defined, long-form description text for the machine learning transform.
    glueVersion String
    The version of AWS Glue this machine learning transform is compatible with.
    maxCapacity Number
    The number of AWS Glue DPUs allocated to task runs for this transform.
    maxRetries Number
    The maximum number of times to retry after an MLTaskRun fails.
    name String
    A user-defined name for the machine learning transform.
    numberOfWorkers Number
    The number of workers of a defined workerType that are allocated when a task runs.
    tags Map<String>
    The tags to use with this machine learning transform.
    timeout Number
    The timeout in minutes of the machine learning transform.
    transformEncryption Property Map
    The encryption-at-rest settings of the transform.
    workerType String
    The type of predefined worker that is allocated when a task runs.

    Outputs

    All input properties are implicitly available as output properties. Additionally, the MlTransform resource produces the following output properties:

    Id string
    The provider-assigned unique ID for this managed resource.
    TransformId string
    The unique identifier for the transform.
    Id string
    The provider-assigned unique ID for this managed resource.
    TransformId string
    The unique identifier for the transform.
    id string
    The provider-assigned unique ID for this managed resource.
    transform_id string
    The unique identifier for the transform.
    id String
    The provider-assigned unique ID for this managed resource.
    transformId String
    The unique identifier for the transform.
    id string
    The provider-assigned unique ID for this managed resource.
    transformId string
    The unique identifier for the transform.
    id str
    The provider-assigned unique ID for this managed resource.
    transform_id str
    The unique identifier for the transform.
    id String
    The provider-assigned unique ID for this managed resource.
    transformId String
    The unique identifier for the transform.

    Supporting Types

    MlTransformFindMatchesParameters, MlTransformFindMatchesParametersArgs

    The parameters to configure the find matches transform.
    PrimaryKeyColumnName string
    The name of a column that uniquely identifies rows in the source table.
    AccuracyCostTradeoff double
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    EnforceProvidedLabels bool
    If true, forces the output to match the provided labels.
    PrecisionRecallTradeoff double
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    PrimaryKeyColumnName string
    The name of a column that uniquely identifies rows in the source table.
    AccuracyCostTradeoff float64
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    EnforceProvidedLabels bool
    If true, forces the output to match the provided labels.
    PrecisionRecallTradeoff float64
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primary_key_column_name string
    The name of a column that uniquely identifies rows in the source table.
    accuracy_cost_tradeoff number
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforce_provided_labels bool
    If true, forces the output to match the provided labels.
    precision_recall_tradeoff number
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primaryKeyColumnName String
    The name of a column that uniquely identifies rows in the source table.
    accuracyCostTradeoff Double
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforceProvidedLabels Boolean
    If true, forces the output to match the provided labels.
    precisionRecallTradeoff Double
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primaryKeyColumnName string
    The name of a column that uniquely identifies rows in the source table.
    accuracyCostTradeoff number
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforceProvidedLabels boolean
    If true, forces the output to match the provided labels.
    precisionRecallTradeoff number
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primary_key_column_name str
    The name of a column that uniquely identifies rows in the source table.
    accuracy_cost_tradeoff float
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforce_provided_labels bool
    If true, forces the output to match the provided labels.
    precision_recall_tradeoff float
    The value for precision and recall tradeoff. A value of 0.5 means no preference.
    primaryKeyColumnName String
    The name of a column that uniquely identifies rows in the source table.
    accuracyCostTradeoff Number
    The value for accuracy and cost tradeoff. A value of 0.5 means balance.
    enforceProvidedLabels Boolean
    If true, forces the output to match the provided labels.
    precisionRecallTradeoff Number
    The value for precision and recall tradeoff. A value of 0.5 means no preference.

    MlTransformGlueTables, MlTransformGlueTablesArgs

    The database and table in the AWS Glue Data Catalog that is used for input or output data.
    DatabaseName string
    A database name in the AWS Glue Data Catalog.
    TableName string
    A table name in the AWS Glue Data Catalog.
    CatalogId string
    A unique identifier for the AWS Glue Data Catalog.
    ConnectionName string
    The name of the connection to the AWS Glue Data Catalog.
    DatabaseName string
    A database name in the AWS Glue Data Catalog.
    TableName string
    A table name in the AWS Glue Data Catalog.
    CatalogId string
    A unique identifier for the AWS Glue Data Catalog.
    ConnectionName string
    The name of the connection to the AWS Glue Data Catalog.
    database_name string
    A database name in the AWS Glue Data Catalog.
    table_name string
    A table name in the AWS Glue Data Catalog.
    catalog_id string
    A unique identifier for the AWS Glue Data Catalog.
    connection_name string
    The name of the connection to the AWS Glue Data Catalog.
    databaseName String
    A database name in the AWS Glue Data Catalog.
    tableName String
    A table name in the AWS Glue Data Catalog.
    catalogId String
    A unique identifier for the AWS Glue Data Catalog.
    connectionName String
    The name of the connection to the AWS Glue Data Catalog.
    databaseName string
    A database name in the AWS Glue Data Catalog.
    tableName string
    A table name in the AWS Glue Data Catalog.
    catalogId string
    A unique identifier for the AWS Glue Data Catalog.
    connectionName string
    The name of the connection to the AWS Glue Data Catalog.
    database_name str
    A database name in the AWS Glue Data Catalog.
    table_name str
    A table name in the AWS Glue Data Catalog.
    catalog_id str
    A unique identifier for the AWS Glue Data Catalog.
    connection_name str
    The name of the connection to the AWS Glue Data Catalog.
    databaseName String
    A database name in the AWS Glue Data Catalog.
    tableName String
    A table name in the AWS Glue Data Catalog.
    catalogId String
    A unique identifier for the AWS Glue Data Catalog.
    connectionName String
    The name of the connection to the AWS Glue Data Catalog.

    MlTransformInputRecordTables, MlTransformInputRecordTablesArgs

    A list of AWS Glue table definitions used by the transform.
    GlueTables List<Pulumi.AwsNative.Glue.Inputs.MlTransformGlueTables>
    The database and table in the AWS Glue Data Catalog that is used for input or output data.
    GlueTables []MlTransformGlueTables
    The database and table in the AWS Glue Data Catalog that is used for input or output data.
    glue_tables list(object)
    The database and table in the AWS Glue Data Catalog that is used for input or output data.
    glueTables List<MlTransformGlueTables>
    The database and table in the AWS Glue Data Catalog that is used for input or output data.
    glueTables MlTransformGlueTables[]
    The database and table in the AWS Glue Data Catalog that is used for input or output data.
    glue_tables Sequence[MlTransformGlueTables]
    The database and table in the AWS Glue Data Catalog that is used for input or output data.
    glueTables List<Property Map>
    The database and table in the AWS Glue Data Catalog that is used for input or output data.

    MlTransformMlUserDataEncryption, MlTransformMlUserDataEncryptionArgs

    The encryption-at-rest settings of the transform that apply to accessing user data.
    MlUserDataEncryptionMode string
    The encryption mode applied to user data.
    KmsKeyId string
    The ID for the customer-provided KMS key.
    MlUserDataEncryptionMode string
    The encryption mode applied to user data.
    KmsKeyId string
    The ID for the customer-provided KMS key.
    ml_user_data_encryption_mode string
    The encryption mode applied to user data.
    kms_key_id string
    The ID for the customer-provided KMS key.
    mlUserDataEncryptionMode String
    The encryption mode applied to user data.
    kmsKeyId String
    The ID for the customer-provided KMS key.
    mlUserDataEncryptionMode string
    The encryption mode applied to user data.
    kmsKeyId string
    The ID for the customer-provided KMS key.
    ml_user_data_encryption_mode str
    The encryption mode applied to user data.
    kms_key_id str
    The ID for the customer-provided KMS key.
    mlUserDataEncryptionMode String
    The encryption mode applied to user data.
    kmsKeyId String
    The ID for the customer-provided KMS key.

    MlTransformTransformEncryption, MlTransformTransformEncryptionArgs

    The encryption-at-rest settings of the transform that apply to accessing user data.
    MlUserDataEncryption Pulumi.AwsNative.Glue.Inputs.MlTransformMlUserDataEncryption
    The encryption-at-rest settings of the transform that apply to accessing user data.
    TaskRunSecurityConfigurationName string
    The name of the security configuration.
    MlUserDataEncryption MlTransformMlUserDataEncryption
    The encryption-at-rest settings of the transform that apply to accessing user data.
    TaskRunSecurityConfigurationName string
    The name of the security configuration.
    ml_user_data_encryption object
    The encryption-at-rest settings of the transform that apply to accessing user data.
    task_run_security_configuration_name string
    The name of the security configuration.
    mlUserDataEncryption MlTransformMlUserDataEncryption
    The encryption-at-rest settings of the transform that apply to accessing user data.
    taskRunSecurityConfigurationName String
    The name of the security configuration.
    mlUserDataEncryption MlTransformMlUserDataEncryption
    The encryption-at-rest settings of the transform that apply to accessing user data.
    taskRunSecurityConfigurationName string
    The name of the security configuration.
    ml_user_data_encryption MlTransformMlUserDataEncryption
    The encryption-at-rest settings of the transform that apply to accessing user data.
    task_run_security_configuration_name str
    The name of the security configuration.
    mlUserDataEncryption Property Map
    The encryption-at-rest settings of the transform that apply to accessing user data.
    taskRunSecurityConfigurationName String
    The name of the security configuration.

    MlTransformTransformParameters, MlTransformTransformParametersArgs

    The algorithm-specific parameters that are associated with the machine learning transform.
    TransformType string
    The type of machine learning transform.
    FindMatchesParameters Pulumi.AwsNative.Glue.Inputs.MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    TransformType string
    The type of machine learning transform.
    FindMatchesParameters MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    transform_type string
    The type of machine learning transform.
    find_matches_parameters object
    The parameters for the find matches algorithm.
    transformType String
    The type of machine learning transform.
    findMatchesParameters MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    transformType string
    The type of machine learning transform.
    findMatchesParameters MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    transform_type str
    The type of machine learning transform.
    find_matches_parameters MlTransformFindMatchesParameters
    The parameters for the find matches algorithm.
    transformType String
    The type of machine learning transform.
    findMatchesParameters Property Map
    The parameters for the find matches algorithm.

    Package Details

    Repository
    AWS Native pulumi/pulumi-aws-native
    License
    Apache-2.0
    aws-native logo aws-native logo

    We recommend new projects start with resources from the AWS provider.

    Viewing docs for AWS Cloud Control v1.76.0
    published on Monday, Aug 24, 2026 by Pulumi

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