Access Live Harvest Data in TIBCO Data Virtualization

TIBCO Data Virtualization (TDV) is an enterprise data virtualization solution that orchestrates access to multiple and varied data sources. When paired with the CData TIBCO DV Adapter for Harvest, you get federated access to live Harvest data directly within TIBCO Data Virtualization. This article walks through deploying an adapter and creating a new data source based on Harvest.

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

Deploy the Harvest 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 API
   

2. Extract the CData TIBCO DV Adapter to a local folder and deploy the JAR file (tdv.api.jar) to the server from the extract location.

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

Create a Harvest Data Source in TDV Studio

With the CData TIBCO DV Adapter for Harvest, you can easily create a data source for Harvest 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. Harvest) and click Next.
3. Name the data source (e.g. CData Harvest Source).

4. Fill in the required connection properties.

   Start by setting the Profile connection property to the location of the Harvest Profile on disk (e.g. C:\profiles\Harvest.apip). Next, set the ProfileSettings connection property to the connection string for Harvest (see below).

   Harvest API Profile Settings

   To authenticate to Harvest, you can use either Token authentication or the OAuth standard. Use Basic authentication to connect to your own data. Use OAuth to allow other users to connect to their data.

   Using Token Authentication

   To use Token Authentication, set the APIKey to your Harvest Personal Access Token in the ProfileSettings connection property. In addition to APIKey, set your AccountId in ProfileSettings to connect.

   Using OAuth Authentication

   First, register an OAuth2 application with Harvest. The application can be created from the "Developers" section of Harvest ID.

   After setting the following connection properties, you are ready to connect:

   • ProfileSettings: Set your AccountId in ProfileSettings.
   • AuthScheme: Set this to OAuth.
   • OAuthClientId: Set this to the client ID that you specified in your app settings.
   • OAuthClientSecret: Set this to the client secret that you specified in your app settings.
   • CallbackURL: Set this to the Redirect URI that you specified in your app settings.
   • InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage how the driver obtains and refreshes the OAuthAccessToken.
5. 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 Harvest tables, views, and stored procedures as resources.

After creating and introspecting the data source, you are ready to work with Harvest 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.