New-AzMLWorkspaceDatastore

Reference

Module:: Az.MachineLearningServices

Create or update datastore.

Syntax

New-AzMLWorkspaceDatastore
   -Name <String>
   -ResourceGroupName <String>
   -WorkspaceName <String>
   [-SubscriptionId <String>]
   [-SkipValidation]
   -Datastore <IDatastoreProperties>
   [-DefaultProfile <PSObject>]
   [-WhatIf]
   [-Confirm]
   [<CommonParameters>]

Description

Create or update datastore.

Examples

Example 1: Create or update datastore

# The datastore type includes AzureBlob, AzureDataLakeGen1, AzureDataLakeGen2, AzureFile.
# You can use following command to create it then pass it as value to Datastore parameter of the New-AzMLWorkspaceDatastore cmdlet.
# New-AzMLWorkspaceDatastoreBlobObject
# New-AzMLWorkspaceDatastoreDataLakeGen1Object
# New-AzMLWorkspaceDatastoreDataLakeGen2Object
# New-AzMLWorkspaceDatastoreFileObject
# You can specify credentials when creating a datastore type. The following commands can be used to create credentials.
# New-AzMLWorkspaceDatastoreKeyCredentialObject
# New-AzMLWorkspaceDatastoreCredentialsObject
# New-AzMLWorkspaceDatastoreNoneCredentialsObject
# New-AzMLWorkspaceDatastoreSasCredentialsObject
# New-AzMLWorkspaceDatastoreServicePrincipalCredentialsObject

$accountKey = New-AzMLWorkspaceDatastoreKeyCredentialObject -Key "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx"
$datastoreBlob = New-AzMLWorkspaceDatastoreBlobObject -AccountName 'mmstorageeastus' -ContainerName "globaldatasets" -Endpoint "core.windows.net" -Protocol "https" -ServiceDataAccessAuthIdentity 'None' -Credentials $accountKey
New-AzMLWorkspaceDatastore -ResourceGroupName ml-rg-test -WorkspaceName mlworkspace-demo -Name blobdatastore -Datastore $datastoreBlob

Name          SystemDataCreatedAt  SystemDataCreatedBy SystemDataCreatedByType SystemDataLastModifiedAt SystemDataLastModifiedBy SystemDataLastModifiedByType ResourceGroupName
----          -------------------  ------------------- ----------------------- ------------------------ ------------------------ ---------------------------- -----------------
blobdatastore 5/27/2022 7:15:04 AM UserName (Example)  User                    5/27/2022 7:15:05 AM     UserName (Example)       User                         ml-rg-test

These commands create a datastore for specified workspace.

Parameters

-Confirm

Prompts you for confirmation before running the cmdlet.

Type:	SwitchParameter
Aliases:	cf
Position:	Named
Default value:	None
Required:	False
Accept pipeline input:	False
Accept wildcard characters:	False

-Datastore

[Required] Additional attributes of the entity. To construct, see NOTES section for DATASTORE properties and create a hash table.

Type:	IDatastoreProperties
Position:	Named
Default value:	None
Required:	True
Accept pipeline input:	False
Accept wildcard characters:	False

-DefaultProfile

The DefaultProfile parameter is not functional. Use the SubscriptionId parameter when available if executing the cmdlet against a different subscription.

Type:	PSObject
Aliases:	AzureRMContext, AzureCredential
Position:	Named
Default value:	None
Required:	False
Accept pipeline input:	False
Accept wildcard characters:	False

-Name

Datastore name.

Type:	String
Position:	Named
Default value:	None
Required:	True
Accept pipeline input:	False
Accept wildcard characters:	False

-ResourceGroupName

The name of the resource group. The name is case insensitive.

Type:	String
Position:	Named
Default value:	None
Required:	True
Accept pipeline input:	False
Accept wildcard characters:	False

-SkipValidation

Flag to skip validation.

Type:	SwitchParameter
Position:	Named
Default value:	None
Required:	False
Accept pipeline input:	False
Accept wildcard characters:	False

-SubscriptionId

The ID of the target subscription.

Type:	String
Position:	Named
Default value:	(Get-AzContext).Subscription.Id
Required:	False
Accept pipeline input:	False
Accept wildcard characters:	False

-WhatIf

Shows what would happen if the cmdlet runs. The cmdlet is not run.

Type:	SwitchParameter
Aliases:	wi
Position:	Named
Default value:	None
Required:	False
Accept pipeline input:	False
Accept wildcard characters:	False

-WorkspaceName

Name of Azure Machine Learning workspace.

Type:	String
Position:	Named
Default value:	None
Required:	True
Accept pipeline input:	False
Accept wildcard characters:	False

Outputs

IDatastore

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