Connect to BigQuery Data in CloverDX (formerly CloverETL)



Transfer BigQuery data using the visual workflow in the CloverDX data integration tool.

The CData JDBC Driver for BigQuery enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with BigQuery as sources and destinations. In this article, you will use the JDBC Driver for BigQuery to set up a simple transfer into a flat file. The CData JDBC Driver for BigQuery enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with BigQuery as sources and destinations. In this article, you will use the JDBC Driver for BigQuery to set up a simple transfer into a flat file.

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


Connect to BigQuery as a JDBC Data Source

  1. Create the connection to BigQuery data. In a new CloverDX graph, right-click the Connections node in the Outline pane and click Connections -> Create Connection. The Database Connection wizard is displayed.
  2. Click the plus icon to load a driver from a JAR. Browse to the lib subfolder of the installation directory and select the cdata.jdbc.googlebigquery.jar file.
  3. Enter 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 below:

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

Query BigQuery Data with the DBInputTable Component

  1. Drag a DBInputTable from the Readers selection of the Palette onto the job flow and double-click it to open the configuration editor.
  2. In the DB connection property, select the BigQuery JDBC data source from the drop-down menu.
  3. Enter the SQL query. For example: SELECT OrderName, Freight FROM Orders

Write the Output of the Query to a UniversalDataWriter

  1. Drag a UniversalDataWriter from the Writers selection onto the jobflow.
  2. Double-click the UniversalDataWriter to open the configuration editor and add a file URL.
  3. Right-click the DBInputTable and then click Extract Metadata.
  4. Connect the output port of the DBInputTable to the UniversalDataWriter.
  5. In the resulting Select Metadata menu for the UniversalDataWriter, choose the Orders table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
  6. Click Run to write to the file.

Ready to get started?

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

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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.