Export Data from SQL Server to Azure Data Lake Storage through SSIS

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Azure Data Lake Storage SSIS Components

パワフルなSSIS Source & Destination Components で、SQL Server とAzure Data Lake Storage をSSIS ワークフローで連携。

Azure Data Lake Storage Data Flow Components を使って、Azure Data Lake Storage データを簡単に同期。データ同期、ローカルバックアップ、ワークフロー自動化に最適!



Easily push SQL Server data to Azure Data Lake Storage using the CData SSIS Tasks for Azure Data Lake Storage.

SQL Server databases are commonly used to store enterprise records. It is often necessary to move this data to other locations. The CData SSIS Task for Azure Data Lake Storage allows you to easily transfer Azure Data Lake Storage data. In this article you will export data from SQL Server to Azure Data Lake Storage.

Add Source and Destination Components

To get started, add a new ADO.NET Source control and a new Azure Data Lake Storage Destination control to the data flow task.

Configure the ADO.NET Source

Follow the steps below to specify properties required to connect to the SQL Server instance.

  1. Open the ADO.NET Source and add a new connection. Enter your server and database information here.
  2. In the Data access mode menu, select "Table or view" and select the table or view to export into Azure Data Lake Storage.
  3. Close the ADO NET Source wizard and connect it to the destination component.

Create a New Connection Manager for Azure Data Lake Storage

Follow the steps below to set required connection properties in the Connection Manager.

  1. Create a new connection manager: In the Connection Manager window, right-click and then click New Connection. The Add SSIS Connection Manager dialog is displayed.
  2. Select CData ADLS Connection Manager in the menu.
  3. Configure the connection properties. A typical connection requires:
    • Schema
    • Account
    • FileSystem
    • AccessKey

    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.

Configure the Azure Data Lake Storage Destination

In the destination component Connection Manager, define mappings from the SQL Server source table into the Azure Data Lake Storage destination table.

  1. Double-click the Azure Data Lake Storage destination to open the destination component editor.
  2. In the Connection Managers tab, select the connection manager previously created.
  • Specify the table into which the data will be exported: On the Component Properties tab, enter the table name in the TableName property, under the Custom Properties section. In this case, you will transfer Resources records.
  • On the Column Mappings tab, configure the mappings from the input columns to the destination columns.
  • Run the Project

    You can now run the project. After the SSIS Task has finished executing, data from your SQL table will be exported to the chosen table.