AzureDataLakeGen1Datastore Class
Azure Data Lake aka Gen 1 datastore that is linked to an Azure ML workspace.
- Inheritance
-
azure.ai.ml.entities._datastore.datastore.DatastoreAzureDataLakeGen1Datastore
Constructor
AzureDataLakeGen1Datastore(*, name: str, store_name: str, description: str | None = None, tags: Dict | None = None, properties: Dict | None = None, credentials: CertificateConfiguration | ServicePrincipalConfiguration | None = None, **kwargs: Any)
Parameters
Name | Description |
---|---|
name
Required
|
Name of the datastore. |
store_name
Required
|
Name of the Azure storage resource. |
description
Required
|
Description of the resource. |
tags
Required
|
Tag dictionary. Tags can be added, removed, and updated. |
properties
Required
|
The asset property dictionary. |
credentials
Required
|
Credentials to use for Azure ML workspace to connect to the storage. |
kwargs
Required
|
A dictionary of additional configuration parameters. |
Keyword-Only Parameters
Name | Description |
---|---|
name
Required
|
|
store_name
Required
|
|
description
Required
|
|
tags
Required
|
|
properties
Required
|
|
credentials
Required
|
|
Methods
dump |
Dump the datastore content into a file in yaml format. |
dump
Dump the datastore content into a file in yaml format.
dump(dest: str | PathLike | IO, **kwargs: Any) -> None
Parameters
Name | Description |
---|---|
dest
Required
|
The destination to receive this datastore's content. Must be either a path to a local file, or an already-open file stream. If dest is a file path, a new file will be created, and an exception is raised if the file exists. If dest is an open file, the file will be written to directly, and an exception will be raised if the file is not writable. |
Attributes
base_path
creation_context
The creation context of the resource.
Returns
Type | Description |
---|---|
The creation metadata for the resource. |
id
The resource ID.
Returns
Type | Description |
---|---|
The global ID of the resource, an Azure Resource Manager (ARM) ID. |
type
Azure SDK for Python