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URL: https://www.cdata.com/kb/tech/bigquery-tdv-setup.rst

⇱ Access Live BigQuery Data in TIBCO Data Virtualization


Access Live BigQuery Data in TIBCO Data Virtualization

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use the Google BigQuery Tibco DV Adapter to create a BigQuery data source in TIBCO Data Virtualization Studio and gain access to live BigQuery data from your TDV Server.

TIBCO Data Virtualization (TDV) is an enterprise data virtualization solution that orchestrates access to multiple and varied data sources. When paired with the Google BigQuery Tibco DV Adapter, you get federated access to live BigQuery data directly within TIBCO Data Virtualization. This article explains how to deploy an adapter and create a new data source based on BigQuery.

With built-in optimized data processing, the CData TIBCO DV Adapter offers unmatched performance for interacting with live BigQuery data. When you issue complex SQL queries to BigQuery, the adapter pushes supported SQL operations, like filters and aggregations, directly to BigQuery. Its built-in dynamic metadata querying allows you to work with and analyze BigQuery data using native data types.

About BigQuery Data Integration

CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:

  • Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
  • Enhance data workflows with Bi-directional data access between BigQuery and other applications.
  • Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.

Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.

For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery


Getting Started


Deploy the BigQuery TIBCO DV Adapter

  1. In a console, navigate to the bin folder in the TDV Server installation directory. If there is a current version of the adapter installed, you will need to undeploy it.

    .\server_util.bat -server localhost -user admin -password ******** -undeploy -version 1 -name GoogleBigQuery
    
  2. Extract the CData TIBCO DV Adapter to a local folder and deploy the JAR file (tdv.googlebigquery.jar) to the server from the extract location.

    .\server_util.bat -server localhost -user admin -password ******** -deploy -package /PATH/TO/tdv.googlebigquery.jar
    

You may need to restart the server to ensure the new JAR file is loaded properly, which can be accomplished by running the composite.bat script located at: C:\Program Files\TIBCO\TDV Server <version>\bin. Note that reauthenticating to the TDV Studio is required after restarting the server.

Sample Restart Call

.\composite.bat monitor restart

Authenticate with BigQuery Using OAuth

Since BigQuery authenticates using the OAuth protocol and TDV Studio does not support browser-based authentication internally, you will need to create and run a simple Java application to retrieve the OAuth tokens. Once retrieved, the tokens are used to connect to BigQuery directly from the adapter.

Create the Java Application

  1. Create a new Java file with preferred name for example GenOAuthSettings.java. This Java file leverages the GoogleBigQueryOAuth class contained within the TDV Adapter JAR to initiate a test connection and perform the required OAuth authentication flow
  2. Copy and insert the following code into the .java file:
  3. public class GenOAuthSettings {
     public static void main(String[] args) {
     try {
     	 if (args.length != 2) {
     			throw new Exception("Input must have two arguments: 'data source', 'connection string'");
     		}
     
     		String source = args[0].replace(" ", "").toLowerCase();
     		String connectionString = args[1];
     		String prefix;
     
     		if (source.equals("googlebigquery")) {
     			prefix = "jdbc:googlebigquery:";
     
     			com.cdata.cis.googlebigquery.GoogleBigQueryOAuth oauth = new com.cdata.cis.googlebigquery.GoogleBigQueryOAuth();
     
     			if (!connectionString.startsWith(prefix)) connectionString = prefix + connectionString;
     			oauth.generateOAuthSettingsFile(connectionString);
     		}
     		// More sources can be added below using the same format. You must add the import statement and ensure the jar file resides in the classpath
    			// else if (source.equals("googlebigquery") || source.equals("bigquery")) {
    			// prefix = "jdbc:googlebigquery:";
    			//
    			// com.cdata.cis.googlebigquery.GoogleBigQueryOAuth oauth = new com.cdata.cis.googlebigquery.GoogleBigQueryOAuth();
    			//
    			// if (!connectionString.startsWith(prefix)) connectionString = prefix + connectionString;
    			// oauth.generateOAuthSettingsFile(connectionString);
    			// }
     		else {
    				throw new Exception("Data Source not supported. Available Data Sources: BigQuery");
    			}
    			
    			System.out.println("Test Connection Successful!");
    		} catch (Exception e) {
    			e.printStackTrace();
    		}
    	}
    }
    
  4. Place the .java file in the same directory as the tdv.googlebigquery.jar file. This is required to prevent classpath resolution errors during compilation and execution

Build and run the Java Application

  1. Open Console and navigate to the directory containing the .java file and adapter jar
  2. Compile the Java file using the following command:
  3. javac -cp .;tdv.googlebigquery.jar GenOAuthSettings.java
    
  4. Execute the application using one of the following commands:
  5. java -cp .;tdv.googlebigquery.jar GenOAuthSettings "GoogleBigQuery" "connection string"
    

This command initiates the OAuth authentication flow and generates the OAuth settings file at the location specified in the OAuthSettingsLocation parameter. Once you deploy the adapter and authenticate, you can create a new data source for BigQuery in TDV Studio.

Create a BigQuery Data Source in TDV Studio

With the Google BigQuery Tibco DV Adapter, you can easily create a data source for BigQuery and introspect the data source to add resources to TDV.

Create the Data Source

  1. Right-click on the folder you wish to add the data source to and select New -> New Data Source
  2. Scroll until you find the adapter (e.g. BigQuery) and click Next
  3. Name the data source (e.g. CData BigQuery Source)
  4. Fill in the required connection properties
  5. 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, register an application to obtain the OAuth JWT values.

    In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

    NOTE: Ensure that the OAuthSettingsLocation property in the DV Adapter is set to the same file path used during the OAuth authentication process. Additionally, set the InitiateOAuth property to REFRESH so that the adapter can automatically handle OAuth access-token refreshes in the background without requiring any user action.

    👁 Filling in Connection Information (Salesforce is shown.)
  6. Click Create & Close.

Introspect the Data Source

Once the data source is created, you can introspect the data source by right-clicking and selecting Open. In the dashboard, click Add/Remove Resources and select the Tables, Views, and Stored Procedures to include as part of the data source. Click Next and Finish to add the selected BigQuery tables, views, and stored procedures as resources.

👁 Introspecting the Data Source (Salesforce is shown.)

After creating and introspecting the data source, you are ready to work with BigQuery data in TIBCO Data Virtualization just like you would any other relational data source. You can create views, query using SQL, publish the data source, and more.