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Back Up Spark data to SQL Server through SSIS

Easily back up data to SQL Server using the CData ADO.NET Provider for Spark. This example uses an SSIS workflow to populate a database with Spark data.

The CData ADO.NET Provider for Spark connects Spark data to applications that provide backup, reporting, full-text search, analytics, and more.

This example demonstrates how to use the provider for Spark inside of a SQL Server SSIS workflow to directly transfer Spark data into a Microsoft SQL Server database. The exact same procedure outlined below can be used with any CData ADO.NET Data Providers to connect SQL Server directly with remote data via SSIS.

  1. Open Visual Studio and create a new Integration Services project.
  2. Add a new Data Flow task from the toolbox onto the Control Flow screen.
  3. In the Data Flow screen, add an ADO.NET Source and an OLE DB Destination from the toolbox.

  4. Add a new connection and select .NET Providers\CData ADO.NET Provider for Spark 2015.
  5. In the connection manager, enter the connection details for Spark data. Below is a typical connection string:

    Server=127.0.0.1;

    SparkSQL への接続

    SparkSQL への接続を確立するには以下を指定します。

    • Server:SparkSQL をホストするサーバーのホスト名またはIP アドレスに設定。
    • Port:SparkSQL インスタンスへの接続用のポートに設定。
    • TransportMode:SparkSQL サーバーとの通信に使用するトランスポートモード。有効な入力値は、BINARY およびHTTP です。デフォルトではBINARY が選択されます。
    • AuthScheme:使用される認証スキーム。有効な入力値はPLAIN、LDAP、NOSASL、およびKERBEROS です。デフォルトではPLAIN が選択されます。

    Databricks への接続

    Databricks クラスターに接続するには、以下の説明に従ってプロパティを設定します。Note:The needed values can be found in your Databricks instance by navigating to 'Clusters', selecting the desired cluster, and selecting the JDBC/ODBC tab under 'Advanced Options'.

    • Server:Set to the Server Hostname of your Databricks cluster.
    • Port:443
    • TransportMode:HTTP
    • HTTPPath:Set to the HTTP Path of your Databricks cluster.
    • UseSSL:True
    • AuthScheme:PLAIN
    • User:'token' に設定。
    • Password:Set to your personal access token (value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).

  6. Open the DataReader editor and set the following information:

    • ADO.NET connection manager: In the Connection Managers menu, select the Data Connection you just created.
    • Data access mode: Select 'SQL command'.
    • SQL command text: In the DataReader Source editor, open the Component Properties tab and enter a SELECT command, such as the one below:

      SELECT City, Balance FROM Customers

  7. Close the DataReader editor and drag the arrow below the DataReader Source to connect it to the OLE DB Destination.
  8. Open the OLE DB Destination and enter the following information in the Destination Component Editor.

    • Connection manager: Add a new connection. Enter your server and database information here. In this example, SQLExpress is running on a separate machine.
    • Data access mode: Set your data access mode to "table or view" and select the table or view to populate in your database.
  9. Configure any properties you wish on the Mappings screen.

  10. Close the OLE DB Destination Editor and run the project. After the SSIS task has finished executing, your database will be populated with data obtained from Spark data.
 
 
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