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DataBind Charts to Google Data Catalog Data


Use the standard ADO.NET procedures for databinding to provide bidirectional access to Google Data Catalog 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 facilitates two-way interaction with data through UI controls. Using the CData ADO.NET Provider for Google Data Catalog streamlines the process of binding Google Data Catalog data to Windows Forms and Web controls within Visual Studio. In this article, we will demonstrate using wizards to establish a binding between Google Data Catalog data and a chart that dynamically updates. Additionally, the code walk-through section will guide you through the creation of a chart using just 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

To create a chart control and establish a connection to Google Data Catalog, follow the steps outlined below using the Data Source Configuration Wizard. Within the wizard, you'll have the option to choose the specific Google Data Catalog entities you wish to bind to.

  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 Google Data Catalog Data Source.

    Below is a typical connection string:

    ProjectId=YourProjectId;InitiateOAuth=GETANDREFRESH

    Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.

    Before connecting, specify the following to identify the organization and project you would like to connect to:

    • OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.

      Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.

    • ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.

      Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.

    When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.

    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 Schemas 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 Type and the y-axis to DatasetName.

  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 Google Data Catalog data. Run the chart to display the current data.

Code Walk-through

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

  1. Connect to Google Data Catalog.
  2. Create the GoogleDataCatalogDataAdapter 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:

GoogleDataCatalogConnection conn = new GoogleDataCatalogConnection("ProjectId=YourProjectId;InitiateOAuth=GETANDREFRESH"); GoogleDataCatalogCommand comm = new GoogleDataCatalogCommand("SELECT Type, DatasetName FROM Schemas WHERE ProjectId = 'bigquery-public-data'", conn); GoogleDataCatalogDataAdapter da = new GoogleDataCatalogDataAdapter(comm); DataSet dataset = new DataSet(); da.Fill(dataset); chart1.DataSource = dataset; chart1.Series[0].XValueMember = "Type"; chart1.Series[0].YValueMembers = "DatasetName"; // Insert code for additional chart formatting here. chart1.DataBind();