custom/New-AzMLWorkspaceDatastoreDataLakeGen2Object.ps1
# ---------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # Code generated by Microsoft (R) AutoRest Code Generator.Changes may cause incorrect behavior and will be lost if the code # is regenerated. # ---------------------------------------------------------------------------------- <# .Synopsis Create an in-memory object for AzureDataLakeGen2Datastore. .Description Create an in-memory object for AzureDataLakeGen2Datastore. .Outputs Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.AzureDataLakeGen2Datastore .Link https://learn.microsoft.com/powershell/module/az.MLWorkspace/new-AzMLWorkspaceDatastoreDataLakeGen2Object #> function New-AzMLWorkspaceDatastoreDataLakeGen2Object { [OutputType('Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.AzureDataLakeGen2Datastore')] [CmdletBinding(PositionalBinding=$false)] Param( [Parameter(Mandatory, HelpMessage="[Required] Storage account name.")] [string] $AccountName, [Parameter(HelpMessage="Azure cloud endpoint for the storage account.")] [string] $Endpoint, [Parameter(Mandatory, HelpMessage="[Required] The name of the Data Lake Gen2 filesystem.")] [string] $Filesystem, [Parameter(HelpMessage="Protocol used to communicate with the storage account.")] [string] $Protocol, [Parameter(HelpMessage="Indicates which identity to use to authenticate service data access to customer's storage.")] [ArgumentCompleter([Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.ServiceDataAccessAuthIdentity])] [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.ServiceDataAccessAuthIdentity] $ServiceDataAccessAuthIdentity, [Parameter(Mandatory, HelpMessage="[Required] Account credentials.")] [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IDatastoreCredentials] $Credentials, [Parameter(HelpMessage="The asset description text.")] [string] $Description, [Parameter(HelpMessage="The asset property dictionary.")] [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IResourceBaseProperties] $Property, [Parameter(HelpMessage="Tag dictionary. Tags can be added, removed, and updated.")] [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.IResourceBaseTags] $Tag ) process { $Object = [Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Models.Api20220501.AzureDataLakeGen2Datastore]::New() $Object.DatastoreType = "AzureDataLakeGen2" if ($PSBoundParameters.ContainsKey('AccountName')) { $Object.AccountName = $AccountName } if ($PSBoundParameters.ContainsKey('Endpoint')) { $Object.Endpoint = $Endpoint } if ($PSBoundParameters.ContainsKey('Filesystem')) { $Object.Filesystem = $Filesystem } if ($PSBoundParameters.ContainsKey('Protocol')) { $Object.Protocol = $Protocol } if ($PSBoundParameters.ContainsKey('ServiceDataAccessAuthIdentity')) { $Object.ServiceDataAccessAuthIdentity = $ServiceDataAccessAuthIdentity } if ($PSBoundParameters.ContainsKey('Credentials')) { $Object.Credentials = $Credentials } if ($PSBoundParameters.ContainsKey('Description')) { $Object.Description = $Description } if ($PSBoundParameters.ContainsKey('Property')) { $Object.Property = $Property } if ($PSBoundParameters.ContainsKey('Tag')) { $Object.Tag = $Tag } return $Object } } # 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