Connect to BigQuery Data from PowerBuilder



This article demonstrates how to access BigQuery data from Appeon PowerBuilder using the CData ADO.NET Provider for BigQuery.

This article demonstrates using the CData ADO.NET Provider for BigQuery in PowerBuilder, showcasing the ease of use and compatibility of these standards-based controls across various platforms and development technologies that support Microsoft .NET, including Appeon PowerBuilder.

This article shows how to create a basic PowerBuilder application that uses the CData ADO.NET Provider for BigQuery to perform reads and writes.

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


  1. In a new WPF Window Application solution, add all the Visual Controls needed for the connection properties. 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.

  2. Add the DataGrid control from the .NET controls.
  3. Configure the columns of the DataGrid control. Below are several columns from the Account table: <DataGrid AutoGenerateColumns="False" Margin="13,249,12,14" Name="datagrid1" TabIndex="70" ItemsSource="{Binding}"> <DataGrid.Columns> <DataGridTextColumn x:Name="idColumn" Binding="{Binding Path=Id}" Header="Id" Width="SizeToHeader" /> <DataGridTextColumn x:Name="nameColumn" Binding="{Binding Path=OrderName}" Header="OrderName" Width="SizeToHeader" /> ... </DataGrid.Columns> </DataGrid>
  4. Add a reference to the CData ADO.NET Provider for BigQuery assembly.

Connect the DataGrid

Once the visual elements have been configured, you can use standard ADO.NET objects like Connection, Command, and DataAdapter to populate a DataTable with the results of an SQL query:

System.Data.CData.GoogleBigQuery.GoogleBigQueryConnection conn conn = create System.Data.CData.GoogleBigQuery.GoogleBigQueryConnection(connectionString) System.Data.CData.GoogleBigQuery.GoogleBigQueryCommand comm comm = create System.Data.CData.GoogleBigQuery.GoogleBigQueryCommand(command, conn) System.Data.DataTable table table = create System.Data.DataTable System.Data.CData.GoogleBigQuery.GoogleBigQueryDataAdapter dataAdapter dataAdapter = create System.Data.CData.GoogleBigQuery.GoogleBigQueryDataAdapter(comm) dataAdapter.Fill(table) datagrid1.ItemsSource=table.DefaultView

The code above can be used to bind data from the specified query to the DataGrid.

Ready to get started?

Download a free trial of the Google BigQuery Data Provider to get started:

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Learn more:

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Rapidly create and deploy powerful .NET applications that integrate with Google BigQuery data including Tables and Datasets.