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Enable the CData JDBC Driver for SQL Server in KNIME

Use standard data access components in KNIME to create charts and reports with SQL Server data.

One of the strengths of the CData JDBC Driver for SQL Server is its cross-platform support, enabling integration with major BI tools. Follow the procedure below to access SQL Server data in KNIME and to create a chart from SQL Server data using the report designer.

Define a New JDBC Connection to SQL Server Data

  1. If you have not already done so, install the Report Designer extension: Click File -> Install KNIME Extensions, and filter on "Report".
  2. In a new workflow, click File -> Preferences and expand the KNIME -> Database Driver nodes to add cdata.jdbc.sql.jar. The driver JAR is located in the lib subfolder of the installation directory.
  3. In the Node Repository view, expand the Database node and drag a Database Reader onto the workflow editor.
  4. Double-click the Database Reader and set the following properties:

    • Database Driver: In the menu, select the CData JDBC driver.
    • Database URL: Enter the connection properties. The JDBC URL begins with jdbc:sql: and is followed by a semicolon-separated list of connection properties.

      Connecting to Microsoft SQL Server

      Connect to Microsoft SQL Server using the following properties:

      • Server: The name of the server running SQL Server.
      • User: The username provided for authentication with SQL Server.
      • Password: The password associated with the authenticating user.
      • Database: The name of the SQL Server database.

      Connecting to Azure SQL Server and Azure Data Warehouse

      You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

      • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
      • User: The name of the user authenticating to Azure.
      • Password: The password associated with the authenticating user.
      • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.

      A typical JDBC URL is below. jdbc:sql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=1433;

    • User Name: The username used to authenticate.
    • Password: The password used to authenticate.
    • SQL Statement: Enter an SQL query in the SQL Statement box or double-click a table. This article uses the query below to create a chart: SELECT ShipName, Freight FROM Orders
  5. Test the connection by clicking Fetch Metadata.

  6. Connect the Database Reader to a Data to Report node to supply the dataset to a range of data visualization controls. Click Execute and then click Edit Report at the top of the workflow to open the report designer perspective.
  7. You can now generate reports based on live data. To create a chart, drag the chart control from the palette to the report designer. In the resulting wizard, you can use the filtering and aggregation controls available in KNIME.
 
 
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