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DataBind Charts to BigQuery Data


Use the standard ADO.NET procedures for databinding to provide bidirectional access to BigQuery 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 BigQuery streamlines the process of binding BigQuery data to Windows Forms and Web controls within Visual Studio. In this article, we will demonstrate using wizards to establish a binding between BigQuery 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.

About BigQuery Data Integration

CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:

  • Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
  • Enhance data workflows with Bi-directional data access between BigQuery and other applications.
  • Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.

Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.

For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery


Getting Started


Binding Data to a Chart

DataBinding to a Chart 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 BigQuery, follow the steps outlined below using the Data Source Configuration Wizard. Within the wizard, you'll have the option to choose the specific BigQuery 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 BigQuery Data Source.

    Below is a typical connection string:

    DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH

    Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.

    OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, you will need to register an application to obtain the OAuth JWT values.

    In addition to the OAuth values, you will need to specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

    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 Orders 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 OrderName and the y-axis to Freight.

  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 BigQuery data. Run the chart to display the current data.

Code Walk-through

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

  1. Connect to BigQuery.
  2. Create the GoogleBigQueryDataAdapter 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:

GoogleBigQueryConnection conn = new GoogleBigQueryConnection("DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH"); GoogleBigQueryCommand comm = new GoogleBigQueryCommand("SELECT OrderName, Freight FROM Orders", conn); GoogleBigQueryDataAdapter da = new GoogleBigQueryDataAdapter(comm); DataSet dataset = new DataSet(); da.Fill(dataset); chart1.DataSource = dataset; chart1.Series[0].XValueMember = "OrderName"; chart1.Series[0].YValueMembers = "Freight"; // Insert code for additional chart formatting here. chart1.DataBind();

Ready to get started?

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