Access Live Sage 300 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 Sage 300, you get federated access to live Sage 300 data directly within TIBCO Data Virtualization. This article walks through deploying an adapter and creating a new data source based on Sage 300.

With built-in optimized data processing, the CData TIBCO DV Adapter offers unmatched performance for interacting with live Sage 300 data. When you issue complex SQL queries to Sage 300, the adapter pushes supported SQL operations, like filters and aggregations, directly to Sage 300. Its built-in dynamic metadata querying allows you to work with and analyze Sage 300 data using native data types.

Deploy the Sage 300 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 Sage300
   

2. Extract the CData TIBCO DV Adapter to a local folder and deploy the JAR file (tdv.sage300.jar) to the server from the extract location.

   .\server_util.bat -server localhost -user admin -password ******** -deploy -package /PATH/TO/tdv.sage300.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 Sage 300 Data Source in TDV Studio

With the CData TIBCO DV Adapter for Sage 300, you can easily create a data source for Sage 300 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. Sage 300) and click Next.
3. Name the data source (e.g. CData Sage 300 Source).

4. Fill in the required connection properties.

   Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

   • Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
   • Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
   • Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

   Authenticate to Sage 300 using Basic authentication.

   Connect Using Basic Authentication

   You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

   • Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
   • User: Set this to the username of your account.
   • Password: Set this to the password of your account.
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 Sage 300 tables, views, and stored procedures as resources.

After creating and introspecting the data source, you are ready to work with Sage 300 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.