CLI (v2) Azure Data Lake Gen2 YAML schema

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APPLIES TO: Azure CLI ml extension v2 (current)

The source JSON schema can be found at this resource.

Note

The YAML syntax detailed in this document is based on the JSON schema for the latest version of the ML CLI v2 extension. This syntax is guaranteed only to work with the latest version of the ML CLI v2 extension. You can find the schemas for older extension versions at https://azuremlschemasprod.azureedge.net/.

YAML syntax

Key Type Description Allowed values Default value
$schema string The YAML schema. If you use the Azure Machine Learning Visual Studio Code extension to author the YAML file, you can invoke schema and resource completions if you include $schema at the top of your file.
type string Required. The datastore type. azure_data_lake_gen2
name string Required. The datastore name.
description string The datastore description.
tags object The datastore tag dictionary.
account_name string Required. The Azure storage account name.
filesystem string Required. The file system name. The parent directory containing the files and folders, equivalent to an Azure Blog storage container.
endpoint string The endpoint suffix of the storage service, used for creation of the storage account endpoint URL. It combines the storage account name and endpoint. Example storage account URL: https://<storage-account-name>.dfs.core.chinacloudapi.cn. core.chinacloudapi.cn
protocol string Protocol for connection to the file system. https, abfss https
credentials object Service principal credentials for connecting to the Azure storage account. Credential secrets are stored in the workspace key vault.
credentials.tenant_id string The service principal tenant ID. Required if credentials is specified.
credentials.client_id string The service principal client ID. Required if credentials is specified.
credentials.client_secret string The service principal client secret. Required if credentials is specified.
credentials.resource_url string The resource URL that specifies the operations that will be performed on the Azure Data Lake Storage Gen2 account. https://storage.azure.com/
credentials.authority_url string The authority URL used for user authentication. https://login.chinacloudapi.cn

Remarks

The az ml datastore command can be used for managing Azure Machine Learning datastores.

Examples

Examples are available in the examples GitHub repository. Several are shown here:

YAML: identity-based access

$schema: https://azuremlschemas.azureedge.net/latest/azureDataLakeGen2.schema.json
name: adls_gen2_credless_example
type: azure_data_lake_gen2
description: Credential-less datastore pointing to an Azure Data Lake Storage Gen2.
account_name: mytestdatalakegen2
filesystem: my-gen2-container

YAML: tenant ID, client ID, client secret

$schema: https://azuremlschemas.azureedge.net/latest/azureDataLakeGen2.schema.json
name: adls_gen2_example
type: azure_data_lake_gen2
description: Datastore pointing to an Azure Data Lake Storage Gen2.
account_name: mytestdatalakegen2
filesystem: my-gen2-container
credentials:
  tenant_id: XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
  client_id: XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXXXX
  client_secret: XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX

Next steps