Google Translate Reporting in OBIEE with the Google Translate JDBC Driver

The CData JDBC Driver for Google Translate is a standard database driver that can integrate real-time access to Google Translate data into your Java-based reporting server. This article shows how to deploy the driver to Oracle Business Intelligence Enterprise Edition (OBIEE) and create reports on Google Translate data that reflect any changes.

Deploy the JDBC Driver

Follow the steps below to add the JDBC driver to WebLogic's classpath.

For WebLogic 12.2.1, simply place the driver JAR and .lic file into DOMAIN_HOME\lib; for example, ORACLE_HOME\user_projects\domains\MY_DOMAIN\lib. These files will be added to the server classpath at startup.

You can also manually add the driver to the classpath: This is required for earlier versions. Prepend the following to PRE_CLASSPATH in setDomainEnv.cmd (Windows) or setDomainEnv.sh (Unix). This script is located in the bin subfolder of the folder for that domain. For example: ORACLE_HOME\user_projects\domains\MY_DOMAIN\bin.

set PRE_CLASSPATH=your-installation-directory\lib\cdata.jdbc.api.jar;%PRE_CLASSPATH%

Restart all servers; for example, run the stop and start commands in DOMAIN_HOME\bitools\bin.

Create a JDBC Data Source for Google Translate

After deploying the JDBC driver, you can create a JDBC data source from BI Publisher.

1. Log into BI Publisher, at the URL http://localhost:9502/analytics, for example, and click Administration -> Manage BI Publisher.
2. Click JDBC Connection -> Add Data Source.
3. Enter the following information:
   • Data Source Name: Enter the name that users will create connections to in their reports.
   • Driver Type: Select Other.
   • Database DriverClass: Enter the driver class, cdata.jdbc.api.APIDriver.
   • Connection String: Enter the JDBC URL.

     Authentication

     Google Cloud Translation API requires OAuth 2.0 authentication to ensure secure access to translation services, datasets, glossaries, and adaptive MT resources. This authentication method allows you to securely connect to your Google Cloud project and manage translation resources with proper authorization.

     OAuth 2.0 Setup and Configuration

     Step 1: Create Google Cloud Project and Enable API

     To set up OAuth authentication:

     1. Visit the Google Cloud Console
     2. Create a new project or select an existing project
     3. Note down your Project ID (required for all API calls)
     4. Navigate to "APIs & Services" > "Library"
     5. Search for and enable the "Cloud Translation API"
     6. Go to "APIs & Services" > "Credentials"
     7. Click "Create Credentials" and select "OAuth Client ID"
     8. Configure the OAuth consent screen if prompted
     9. Select "Desktop application" or "Web application" as appropriate
     10. Set the authorized redirect URI (CallbackURL)
     11. Copy the Client ID and Client Secret for use in your connection

     Required Connection Properties

     • AuthScheme: Set this to OAuth (required)
     • OAuthClientId: Client ID from Google Cloud Console (required)
     • OAuthClientSecret: Client secret from Google Cloud Console (required)
     • CallbackURL: Redirect URI specified in your OAuth application (required)
     • InitiateOAuth: Set to GETANDREFRESH for automatic token management (recommended)
     • ProjectId: Your Google Cloud project ID or project number (required for queries)

     Required OAuth Scopes

     The Google Cloud Translation API Profile requires the following OAuth scope:

     • https://www.googleapis.com/auth/cloud-translation - Full access to Cloud Translation API resources including translation, datasets, glossaries, and adaptive MT

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.api.jar
     

     Fill in the connection properties and copy the connection string to the clipboard.

     

     When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

     A typical JDBC URL is below:

     jdbc:api:Profile=C:\profiles\GoogleTranslate.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackUrl=your_callback_url;

   • Username: Enter the username.
   • Password: Enter the password.
4. In the Security section, select the allowed user roles.

Create Real-Time Google Translate Reports

You can now create reports and analyses based on real-time Google Translate data. Follow the steps below to use the standard report wizard to create an interactive report that reflects any changes to Google Translate data.

1. On the global header, click New -> Data Model.
2. On the Diagram tab, select SQL query in the menu.
3. Enter a name for the query and in the Data Source menu select the Google Translate JDBC data source you created.
4. Select standard SQL and enter a query like the following:

   SELECT LanguageCode, DisplayName FROM SupportedLanguages WHERE ProjectId = 'my-project-12345'

   
5. Click View Data to generate the sample data to be used as you build your report.
6. Select the number of rows to include in the sample data, click View, and then click Save As Sample Data.
7. Click Create Report -> Use Data Model.
8. Select Guide Me and on the Select Layout page select the report objects you want to include. In this example we select Chart and Table.
9. Drop a numeric column like DisplayName onto the Drop Value Here box on the y-axis. Drop a dimension column like LanguageCode onto the Drop Label Here box on the x-axis.
10. Click Refresh to pick up any changes to the Google Translate data.