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Connect to BigQuery Data in CloverETL

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

The CData JDBC Driver for BigQuery enables you to use the data transformation components in CloverETL to execute create, read, update, and delete (CRUD) commands to BigQuery data. In this article, you will use the JDBC Driver for BigQuery to set up a simple transfer into a flat file.

Connect to BigQuery as a JDBC Data Source

  1. Create the connection to BigQuery data. In a new CloverETL 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. A typical JDBC URL is below: jdbc:googlebigquery:DataSetId=MyDataSetId;ProjectId=MyProjectId;

    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.

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 * 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.
 
 
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