FeatureStoreOperations Class

FeatureStoreOperations.

You should not instantiate this class directly. Instead, you should create an MLClient instance that instantiates it for you and attaches it as an attribute.

Inheritance

azure.ai.ml.operations._workspace_operations_base.WorkspaceOperationsBase

FeatureStoreOperations

Constructor

FeatureStoreOperations(operation_scope: OperationScope, service_client: AzureMachineLearningWorkspaces, all_operations: OperationsContainer, credentials: TokenCredential | None = None, **kwargs: Dict)

Parameters

Name	Description
operation_scope Required
service_client Required
all_operations Required
credentials	default value: None

Methods

begin_create	Create a new FeatureStore. Returns the feature store if already exists.
begin_delete	Delete a FeatureStore.
begin_provision_network	Triggers the feature store to provision the managed network. Specifying spark enabled as true prepares the feature store managed network for supporting Spark.
begin_update	Update friendly name, description, online store connection, offline store connection, materialization identities or tags of a feature store.
get	Get a feature store by name.
list	List all feature stores that the user has access to in the current resource group or subscription.

begin_create

Create a new FeatureStore.

Returns the feature store if already exists.

begin_create(feature_store: FeatureStore, *, grant_materialization_permissions: bool = True, update_dependent_resources: bool = False, **kwargs: Dict) -> LROPoller[FeatureStore]

Parameters

Name	Description
feature_store Required	FeatureStore FeatureStore definition.

Returns

Type	Description
LROPoller[FeatureStore]	An instance of LROPoller that returns a FeatureStore.

begin_delete

Delete a FeatureStore.

begin_delete(name: str, *, delete_dependent_resources: bool = False, **kwargs: Any) -> LROPoller[None]

Parameters

Name	Description
name Required	str Name of the FeatureStore

Keyword-Only Parameters

Name	Description
delete_dependent_resources	bool Whether to delete resources associated with the feature store, i.e., container registry, storage account, key vault, and application insights. The default is False. Set to True to delete these resources.

Returns

Type	Description
LROPoller[None]	A poller to track the operation status.

begin_provision_network

Triggers the feature store to provision the managed network. Specifying spark enabled as true prepares the feature store managed network for supporting Spark.

begin_provision_network(*, feature_store_name: str | None = None, include_spark: bool = False, **kwargs: Any) -> LROPoller[ManagedNetworkProvisionStatus]

Keyword-Only Parameters

Name	Description
feature_store_name	str Name of the feature store.

Returns

Type	Description
LROPoller[ManagedNetworkProvisionStatus]	An instance of LROPoller.

begin_update

Update friendly name, description, online store connection, offline store connection, materialization identities or tags of a feature store.

begin_update(feature_store: FeatureStore, *, grant_materialization_permissions: bool = True, update_dependent_resources: bool = False, **kwargs: Any) -> LROPoller[FeatureStore]

Parameters

Name	Description
feature_store Required	FeatureStore FeatureStore resource.

Keyword-Only Parameters

Name	Description
update_dependent_resources	gives your consent to update the feature store dependent resources. Note that updating the feature store attached Azure Container Registry resource may break lineage of previous jobs or your ability to rerun earlier jobs in this feature store. Also, updating the feature store attached Azure Application Insights resource may break lineage of deployed inference endpoints this feature store. Only set this argument if you are sure that you want to perform this operation. If this argument is not set, the command to update Azure Container Registry and Azure Application Insights will fail.
application_insights	Optional[str] Application insights resource for feature store. Defaults to None.
container_registry	Optional[str] Container registry resource for feature store. Defaults to None.

Returns

Type	Description
LROPoller[FeatureStore]	An instance of LROPoller that returns a FeatureStore.

get

Get a feature store by name.

get(name: str, **kwargs: Any) -> FeatureStore

Parameters

Name	Description
name Required	str Name of the feature store.

Returns

Type	Description
FeatureStore	The feature store with the provided name.

Exceptions

Type	Description
HttpResponseError	Raised if the corresponding name and version cannot be retrieved from the service.

list

List all feature stores that the user has access to in the current resource group or subscription.

list(*, scope: str = 'resource_group', **kwargs: Dict) -> Iterable[FeatureStore]

Keyword-Only Parameters

Name	Description
scope	str scope of the listing, "resource_group" or "subscription", defaults to "resource_group"

Returns

Type	Description
ItemPaged[FeatureStore]	An iterator like instance of FeatureStore objects