Build Google Cloud Storage-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 Cloud Storage enables users to access live Google Cloud Storage data from within their Google Data Fusion pipelines. While the CData JDBC Driver enables piping Google Cloud Storage data to any data source natively supported in Google Data Fusion, this article walks through piping data from Google Cloud Storage to Google BigQuery,

Upload the CData JDBC Driver for Google Cloud Storage to Google Data Fusion

Upload the CData JDBC Driver for Google Cloud Storage to your Google Data Fusion instance to work with live Google Cloud Storage 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: cdatagooglecloudstorage-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.googlecloudstorage) and make note of the name
   • Class name: Set the JDBC class name: (cdata.jdbc.googlecloudstorage.GoogleCloudStorageDriver)
5. Click "Finish"

Connect to Google Cloud Storage Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live Google Cloud Storage 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-googlecloudstorage)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for Google Cloud Storage. For example:
     
     jdbc:googlecloudstorage:RTK=5246...;ProjectId='project1';InitiateOAuth=GETANDREFRESH;

     Authenticate with a User Account

     You can connect without setting any connection properties for your user credentials. After setting InitiateOAuth to GETANDREFRESH, you are ready to connect.

     When you connect, the Google Cloud Storage OAuth endpoint opens in your default browser. Log in and grant permissions, then the OAuth process completes

     Authenticate with a Service Account

     Service accounts have silent authentication, without user authentication in the browser. You can also use a service account to delegate enterprise-wide access scopes.

     You need to create an OAuth application in this flow. See the Help documentation for more information. After setting the following connection properties, you are ready to connect:

     • InitiateOAuth: Set this to GETANDREFRESH.
     • OAuthJWTCertType: Set this to "PFXFILE".
     • OAuthJWTCert: Set this to the path to the .p12 file you generated.
     • OAuthJWTCertPassword: Set this to the password of the .p12 file.
     • OAuthJWTCertSubject: Set this to "*" to pick the first certificate in the certificate store.
     • OAuthJWTIssuer: In the service accounts section, click Manage Service Accounts and set this field to the email address displayed in the service account Id field.
     • OAuthJWTSubject: Set this to your enterprise Id if your subject type is set to "enterprise" or your app user Id if your subject type is set to "user".
     • ProjectId: Set this to the Id of the project you want to connect to.

     The OAuth flow for a service account then completes.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.googlecloudstorage.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 Google Cloud Storage, i.e.:
     SELECT * FROM Buckets
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 googlecloudstorage-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 Google Cloud Storage data into

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

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