Build BigQuery-Connected ETL Processes in Google Data Fusion

Google Data Fusion allows users to perform self-service data integration to consolidate disparate data. Uploading the CData JDBC Driver for Google BigQuery enables users to access live BigQuery data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping BigQuery data to any data source natively supported in Google Data Fusion, this article walks through piping data from BigQuery to Google BigQuery,

Upload the CData JDBC Driver for Google BigQuery to Google Data Fusion

Upload the CData JDBC Driver for Google BigQuery to your Google Data Fusion instance to work with live BigQuery data. Due to the naming restrictions for JDBC drivers in Google Data Fusion, create a copy or rename the JAR file to match the following format driver-version.jar. For example: cdatagooglebigquery-2020.jar

1. Open your Google Data Fusion instance
2. Click the to add an entity and upload a driver
3. On the "Upload driver" tab, drag or browse to the renamed JAR file.
4. On the "Driver configuration" tab:
   • Name: Create a name for the driver (cdata.jdbc.googlebigquery) and make note of the name
   • Class name: Set the JDBC class name: (cdata.jdbc.googlebigquery.GoogleBigQueryDriver)
5. Click "Finish"

Connect to BigQuery Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live BigQuery data in Google Data Fusion Pipelines.

1. Navigate to the Pipeline Studio to create a new Pipeline
2. From the "Source" options, click "Database" to add a source for the JDBC Driver
3. Click "Properties" on the Database source to edit the properties

   NOTE: To use the JDBC Driver in Google Data Fusion, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.

   • Set the Label
   • Set Reference Name to a value for any future references (i.e.: cdata-googlebigquery)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for BigQuery. For example:
     
     jdbc:googlebigquery:RTK=5246...;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.

     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.

   • Set Import Query to a SQL query that will extract the data you want from BigQuery, i.e.:
     SELECT * FROM Orders
4. From the "Sink" tab, click to add a destination sink (we use Google BigQuery in this example)
5. Click "Properties" on the BigQuery sink to edit the properties
   • Set the Label
   • Set Reference Name to a value like googlebigquery-bigquery
   • Set Project ID to a specific Google BigQuery Project ID (or leave as the default, "auto-detect")
   • Set Dataset to a specific Google BigQuery dataset
   • Set Table to the name of the table you wish to insert BigQuery data into

With the Source and Sink configured, you are ready to pipe BigQuery data into Google BigQuery. Save and deploy the pipeline. When you run the pipeline, Google Data Fusion will request live data from BigQuery and import it into Google BigQuery.

While this is a simple pipeline, you can create more complex BigQuery pipelines with transforms, analytics, conditions, and more. Download a free, 30-day trial of the CData JDBC Driver for Google BigQuery and start working with your live BigQuery data in Google Data Fusion today.