PowerShell Cmdlets でAzure Data Lake Storage データをCSV にエクスポート

CData Cmdlets Module for ADLS は、直感的なAzure Data Lake Storage データ連携を提供する標準cmdlet です。 本記事では、ADLS Cmdlets を使ったサンプルを提供します。

Azure Data Lake Storage への接続を設定

Authenticating to a Gen 1 DataLakeStore Account

Gen 1 uses OAuth 2.0 in Azure AD for authentication.

For this, an Active Directory web application is required. You can create one as follows:

1. Sign in to your Azure Account through the .
2. Select "Azure Active Directory".
3. Select "App registrations".
4. Select "New application registration".
5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

• Schema: Set this to ADLSGen1.
• Account: Set this to the name of the account.
• OAuthClientId: Set this to the application Id of the app you created.
• OAuthClientSecret: Set this to the key generated for the app you created.
• TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
• Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

Authenticating to a Gen 2 DataLakeStore Account

To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

• Schema: Set this to ADLSGen2.
• Account: Set this to the name of the account.
• FileSystem: Set this to the file system which will be used for this account.
• AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
• Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

$conn = Connect-ADLS  -Schema "$Schema" -Account "$Account" -FileSystem "$FileSystem" -AccessKey "$AccessKey"

Azure Data Lake Storage データを取得してCSV にパイプライン

次の手順で、Resources テーブルデータを取得して、結果をCSV ファイルにエクスポートします:

Select-ADLS -Connection $conn -Table Resources | Select -Property * -ExcludeProperty Connection,Table,Columns | Export-Csv -Path c:\myResourcesData.csv -NoTypeInformation

このように、Select-ADLS から取得した結果を、Select-Object cmdlet に流し、Export-Csv cmdlet に渡す前にいくつかのプロパティを除外しています。これは、CData Cmdlets が接続情報、テーブル、およびカラム情報が結果セットのそれぞれの"行"に挿入されるためです。それらの情報を表示したくない場合に、Export-Csv cmdlet に渡す前に除外を先に行い、それからCSV ファイルにエクスポートします。。

このように、CData Cmdlets でデータ連携をシンプルに構成できます。Cmdlets では、モジュールのインストール、接続プロパティの設定だけで、データ連携の構築を始めることができます。是非、CData PowerShell Cmdlets の無償試用版をダウンロードして、シンプルかつパワフルなデータ連携を体感してください。