CLI (v2) blob store connection YAML schema
APPLIES TO: Azure CLI ml extension v2 (current)
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, include $schema at the top of your file to invoke schema and resource completions. |
||
name |
string | Required. The connection name. | ||
description |
string | The connection description. | ||
tags |
object | The connection tag dictionary. | ||
type |
string | Required. The connection type. | azure_blob |
azure_blob |
account_name |
string | Required. The Azure Storage Account name. | ||
container_name |
string | Required. The blob container name. | ||
is_shared |
boolean | true if the connection is shared across other projects in the hub; otherwise, false . |
true |
|
url |
string | Required. The URL to the blob container. | ||
credentials |
object | Credential-based authentication to access the storage account. An account key, or shared access signature (SAS) token will work. Do not specify credentials when using credential-less authentication. |
||
credentials.account_key |
string | The account key used to access the storage account. Don't use credentials.sas_token if you are using an account key for authentication. |
||
credentials.sas_token |
string | The SAS token to access the storage account. Don't use credentials.account_key if you are using a SAS token for authentication. |
Remarks
While the az ml connection
commands can be used to manage both Azure Machine Learning and Azure AI Studio connections, the blob store connection is specific to Azure AI Studio.
Examples
These examples would be in the form of YAML files and used from the CLI. For example, az ml connection create -f <file-name>.yaml
.
YAML: account key
#AzureBlobStoreConnection.yaml
name: my_blobstore_ak
type: azure_blob
url: "myendpoint"
container_name: dummycont
account_name: mystroageacct
credentials:
account_key: "XXXXXXXXXXX"
YAML: SAS token
#AzureBlobStoreConnection.yaml
name: my_blobstore_sas
type: azure_blob
url: "myendpoint"
container_name: dummycont
account_name: mystroageacct
credentials:
sas_token: "XXXXXXX"
YAML: credential-less
#AzureBlobStoreConnection.yaml
name: my_blobstore_cl
type: azure_blob
url: "myendpoint"
container_name: dummycont
account_name: mystroageacct