ערוך

שתף באמצעות

CLI (v2) Azure Files datastore YAML schema

  • מאמר

APPLIES TO: Azure CLI ml extension v2 (current)

The source JSON schema can be found at https://azuremlschemas.azureedge.net/latest/azureFile.schema.json.

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 VS Code extension to author the YAML file, include $schema at the top of your file to invoke schema and resource completions.
type string Required. The datastore type. azure_file
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.
file_share_name string Required. The file share name.
endpoint string Endpoint suffix of the storage service. This is used to create the storage account endpoint URL. It combines the storage account name and endpoint. Example storage account URL: https://<storage-account-name>.file.core.windows.net. core.windows.net
protocol string Protocol to use to connect to the file share. https https
credentials object Credential-based authentication credentials to connect to the Azure storage account. Provide either an account key or a shared access signature (SAS) token for this. Credential secrets are stored in the workspace key vault.
credentials.account_key string The account key to access the storage account. One of eithercredentials.account_key or credentials.sas_token is required if credentials is specified.
credentials.sas_token string The SAS token to access the storage account. One of credentials.account_key or credentials.sas_token is required if credentials is specified.

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 below.

YAML: account key

$schema: https://azuremlschemas.azureedge.net/latest/azureFile.schema.json
name: file_example
type: azure_file
description: Datastore pointing to an Azure File Share.
account_name: mytestfilestore
file_share_name: my-share
credentials:
  account_key: XxXxXxXXXXXXXxXxXxxXxxXXXXXXXXxXxxXXxXXXXXXXxxxXxXXxXXXXXxXXxXXXxXxXxxxXXxXXxXXXXXxXxxXX

YAML: sas token

$schema: https://azuremlschemas.azureedge.net/latest/azureFile.schema.json
name: file_sas_example
type: azure_file
description: Datastore pointing to an Azure File Share using SAS token.
account_name: mytestfilestore
file_share_name: my-share
credentials:
  sas_token: ?xx=XXXX-XX-XX&xx=xxxx&xxx=xxx&xx=xxxxxxxxxxx&xx=XXXX-XX-XXXXX:XX:XXX&xx=XXXX-XX-XXXXX:XX:XXX&xxx=xxxxx&xxx=XXxXXXxxxxxXXXXXXXxXxxxXXXXXxxXXXXXxXXXXxXXXxXXxXX

Next steps