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

Upload the CData JDBC Driver for HubDB to Google Data Fusion

Upload the CData JDBC Driver for HubDB to your Google Data Fusion instance to work with live HubDB 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: cdatahubdb-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.hubdb) and make note of the name
   • Class name: Set the JDBC class name: (cdata.jdbc.hubdb.HubDBDriver)
5. Click "Finish"

Connect to HubDB Data in Google Data Fusion

With the JDBC Driver uploaded, you are ready to work with live HubDB 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-hubdb)
   • Set Plugin Type to "jdbc"
   • Set Connection String to the JDBC URL for HubDB. For example:
     
     jdbc:hubdb:RTK=5246...;AuthScheme=OAuth;OAuthClientID=MyOAuthClientID;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH;

     There are two authentication methods available for connecting to HubDB data source: OAuth Authentication with a public HubSpot application and authentication with a Private application token.

     Using a Custom OAuth App

     AuthScheme must be set to "OAuth" in all OAuth flows. Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).

     Follow the steps below to register an application and obtain the OAuth client credentials:

     1. Log into your HubSpot app developer account.
        • Note that it must be an app developer account. Standard HubSpot accounts cannot create public apps.
     2. On the developer account home page, click the Apps tab.
     3. Click Create app.
     4. On the App info tab, enter and optionally modify values that are displayed to users when they connect. These values include the public application name, application logo, and a description of the application.
     5. On the Auth tab, supply a callback URL in the "Redirect URLs" box.
        • If you're creating a desktop application, set this to a locally accessible URL like http://localhost:33333.
        • If you are creating a Web application, set this to a trusted URL where you want users to be redirected to when they authorize your application.
     6. Click Create App. HubSpot then generates the application, along with its associated credentials.
     7. On the Auth tab, note the Client ID and Client secret. You will use these later to configure the driver.

     8. Under Scopes, select any scopes you need for your application's intended functionality.

        A minimum of the following scopes is required to access tables:

        • hubdb
        • oauth
        • crm.objects.owners.read
     9. Click Save changes.
     10. Install the application into a production portal with access to the features that are required by the integration.
         • Under "Install URL (OAuth)", click Copy full URL to copy the installation URL for your application.
         • Navigate to the copied link in your browser. Select a standard account in which to install the application.
         • Click Connect app. You can close the resulting tab.

     Using a Private App

     To connect using a HubSpot private application token, set the AuthScheme property to "PrivateApp."

     You can generate a private application token by following the steps below:

     1. In your HubDB account, click the settings icon (the gear) in the main navigation bar.
     2. In the left sidebar menu, navigate to Integrations > Private Apps.
     3. Click Create private app.
     4. On the Basic Info tab, configure the details of your application (name, logo, and description).
     5. On the Scopes tab, select Read or Write for each scope you want your private application to be able to access.
     6. A minimum of hubdb and crm.objects.owners.read is required to access tables.
     7. After you are done configuring your application, click Create app in the top right.
     8. Review the info about your application's access token, click Continue creating, and then Show token.
     9. Click Copy to copy the private application token.

     To connect, set PrivateAppToken to the private application token you retrieved.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.hubdb.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 HubDB, i.e.:
     SELECT * FROM NorthwindProducts
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 hubdb-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 HubDB data into

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

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