Connect to BigQuery Data in NetBeans



Connect to BigQuery data in NetBeans with the data source configuration wizard.

The CData JDBC Driver for BigQuery integrates connectivity to live BigQuery data in IDEs that support JDBC. The JDBC standard enables you to use built-in data access wizards and other tools supporting rapid development. This article shows how to connect to BigQuery data in NetBeans. You will create a connection and edit and save BigQuery data in the Table Editor.

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


Create a JDBC Data Source for BigQuery in NetBeans

To create the JDBC data source, expand the Database node in the Service window, right-click the Drivers node, and select New Driver. In the New Driver wizard that results, enter the following information:

  • Driver File(s): Click Add and, in the file explorer dialog that appears, select the cdata.jdbc.googlebigquery.jar file. The driver JAR is located in the lib subfolder of the installation directory.
  • Driver Class: Click Find to search for the driver class inside the JAR. Then select cdata.jdbc.googlebigquery.GoogleBigQueryDriver from the menu.
  • Name: Enter the name for the driver.

Define Connection Parameters

Follow the steps below to define required connection properties:

  1. In the Service window, right-click the Database node and click New Connection.

  2. In the New Connection Wizard, enter the following connection properties:

    • Driver Name: In the menu, select the CData JDBC Driver for BigQuery.
    • User Name: Enter the username. This can also be defined in the JDBC URL.
    • Password: Enter the password. This can also be defined in the JDBC URL.
    • JDBC URL: Specify the JDBC URL.

      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.

      Built-in Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the BigQuery JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.googlebigquery.jar

      Fill in the connection properties and copy the connection string to the clipboard.

      A typical JDBC URL is the following:

      jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;InitiateOAuth=GETANDREFRESH

Query BigQuery Data

To connect to BigQuery data, right-click the connection in the Database node and click Connect. After the connection is established, you can expand it to discover schema information.

To load a table in the Data Views window, right-click the table and then click View Data. You can also insert, update, or delete records in the Data Views window.

Ready to get started?

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

 Download Now

Learn more:

Google BigQuery Icon Google BigQuery JDBC Driver

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