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Azure Machine Learning Synapse Spark

This page shows how to write Terraform and Azure Resource Manager for Machine Learning Synapse Spark and write them securely.

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azurerm_machine_learning_synapse_spark (Terraform)

The Synapse Spark in Machine Learning can be configured in Terraform with the resource name azurerm_machine_learning_synapse_spark. The following sections describe how to use the resource and its parameters.

Example Usage from GitHub

An example could not be found in GitHub.

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Parameters

The following arguments are supported:

  • name - (Required) The name which should be used for this Machine Learning Synapse Spark. Changing this forces a new Machine Learning Synapse Spark to be created.

  • machine_learning_workspace_id - (Required) The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Synapse Spark to be created.

  • location - (Required) The Azure Region where the Machine Learning Synapse Spark should exist. Changing this forces a new Machine Learning Synapse Spark to be created.

  • synapse_spark_pool_id - (Required) The ID of the linked Synapse Spark Pool. Changing this forces a new Machine Learning Synapse Spark to be created.

  • description - (Optional) The description of the Machine Learning Synapse Spark. Changing this forces a new Machine Learning Synapse Spark to be created.

  • identity - (Optional) An identity block as defined below. Changing this forces a new Machine Learning Synapse Spark to be created.

  • local_auth_enabled - (Optional) Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Synapse Spark to be created.

  • tags - (Optional) A mapping of tags which should be assigned to the Machine Learning Synapse Spark. Changing this forces a new Machine Learning Synapse Spark to be created.

A identity block supports the following:

  • type - (Required) The Type of Identity which should be used for this Machine Learning Synapse Spark. Possible values are SystemAssigned, UserAssigned and SystemAssigned,UserAssigned. Changing this forces a new Machine Learning Synapse Spark to be created.

  • identity_ids - (Optional) A list of User Managed Identity ID's which should be assigned to the Machine Learning Synapse Spark. Changing this forces a new Machine Learning Synapse Spark to be created.

In addition to the Arguments listed above - the following Attributes are exported:

  • id - The ID of the Machine Learning Synapse Spark.

  • identity - An identity block as defined below, which contains the Managed Service Identity information for this Machine Learning Synapse Spark.

A identity block exports the following:

  • principal_id - The Principal ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Synapse Spark.

  • tenant_id - The Tenant ID for the Service Principal associated with the Managed Service Identity of this Machine Learning Synapse Spark.

>> from Terraform Registry

Explanation in Terraform Registry

Manages a Machine Learning Synapse Spark.

>> from Terraform Registry

Microsoft.MachineLearningServices/workspaces/computes (Azure Resource Manager)

The workspaces/computes in Microsoft.MachineLearningServices can be configured in Azure Resource Manager with the resource name Microsoft.MachineLearningServices/workspaces/computes. The following sections describe how to use the resource and its parameters.

Example Usage from GitHub

An example could not be found in GitHub.

Parameters

  • apiVersion required - string
  • identity optional
      • type optional - string

        The identity type.

      • userAssignedIdentities optional - undefined

        dictionary containing all the user assigned identities, with resourceId of the UAI as key.

  • location optional - string

    Specifies the location of the resource.

  • name required - string

    Name of the Azure Machine Learning compute.

  • properties required
      • computeLocation optional - string

        Location for the underlying compute

      • description optional - string

        The description of the Machine Learning compute.

      • disableLocalAuth optional - boolean

        Opt-out of local authentication and ensure customers can use only MSI and AAD exclusively for authentication.

      • resourceId optional - string

        ARM resource id of the underlying compute

  • sku optional
      • name optional - string

        Name of the sku

      • tier optional - string

        Tier of the sku like Basic or Enterprise

  • systemData optional
      • createdAt optional - string

        The timestamp of resource creation (UTC).

      • createdBy optional - string

        The identity that created the resource.

      • createdByType optional - string

        The type of identity that created the resource.

      • lastModifiedAt optional - string

        The timestamp of resource last modification (UTC)

      • lastModifiedBy optional - string

        The identity that last modified the resource.

      • lastModifiedByType optional - string

        The type of identity that last modified the resource.

  • tags optional - string

    Contains resource tags defined as key/value pairs.

  • type required - string

>> from Azure Resource Manager Documentation

The Other Related Azure Machine Learning Resources

Frequently asked questions

What is Azure Machine Learning Synapse Spark?

Azure Machine Learning Synapse Spark is a resource for Machine Learning of Microsoft Azure. Settings can be wrote in Terraform.

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