DataBind Charts to Databricks Data

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Use the standard ADO.NET procedures for databinding to provide bidirectional access to Databricks data from controls in the Visual Studio toolbox. This article demonstrates a graphical approach using wizards in Visual Studio, as well as how to databind with only a few lines of code.

DataBinding enables bidirectional access to data from UI controls. You can use the CData ADO.NET Provider for Databricks to easily databind Databricks data to Windows Forms and Web controls in Visual Studio. This article shows how to use wizards to databind Databricks data to a chart that reflects any changes. The code walk-through section shows how to create a chart in 10 lines of code.

DataBind to a Chart

DataBinding consists of three steps: Instantiate the control, configure the data source, and databind.

Configure the Connection and Select Database Objects

Follow the procedure below to use the Data Source Configuration Wizard to create a chart control and the connection to Databricks. In the wizard, you can select the Databricks entities you want to databind.

  1. In a Windows Forms project, drag and drop a Chart control from the toolbox to the form. In the Data section of the Chart properties, select DataSource and then select Add Project Data Source from the menu.
  2. In the Data Source Configuration Wizard that appears, select Database -> Dataset.
  3. In the Choose Your Data Connection step, click New Connection.
  4. In the Add Connection dialog, click Change to select the CData Databricks Data Source.

    Below is a typical connection string:

    Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;

    To connect to a Databricks cluster, set the properties as described below.

    Note: The needed values can be found in your Databricks instance by navigating to Clusters, and selecting the desired cluster, and selecting the JDBC/ODBC tab under Advanced Options.

    • Server: Set to the Server Hostname of your Databricks cluster.
    • HTTPPath: Set to the HTTP Path of your Databricks cluster.
    • Token: Set to your personal access token (this value can be obtained by navigating to the User Settings page of your Databricks instance and selecting the Access Tokens tab).

    When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

  5. Choose the database objects you want to work with. This example uses the Customers table.

DataBind

After adding the data source and selecting database objects, you can bind the objects to the chart. This example assigns the x-axis to City and the y-axis to CompanyName.

  1. In the Chart properties, click the button in the Series property to open the Series Collection Editor.
  2. In the Series properties, select the columns you want for the x- and y-axes: Select columns from the menu in the XValueMember and YValueMember properties.

The chart is now databound to the Databricks data. Run the chart to display the current data.

Code Walk-through

DataBinding to Databricks data requires only a few lines of code and can be completed in three easy steps.

  1. Connect to Databricks.
  2. Create the DatabricksDataAdapter to execute the query and create a DataSet to be filled with its results.
  3. DataBind the result set to the chart.

Below is the complete code:

DatabricksConnection conn = new DatabricksConnection("Server=127.0.0.1;Port=443;TransportMode=HTTP;HTTPPath=MyHTTPPath;UseSSL=True;User=MyUser;Password=MyPassword;"); DatabricksCommand comm = new DatabricksCommand("SELECT City, CompanyName FROM Customers WHERE Country = 'US'", conn); DatabricksDataAdapter da = new DatabricksDataAdapter(comm); DataSet dataset = new DataSet(); da.Fill(dataset); chart1.DataSource = dataset; chart1.Series[0].XValueMember = "City"; chart1.Series[0].YValueMembers = "CompanyName"; // Insert code for additional chart formatting here. chart1.DataBind();