Access Live SQL Server Data in TIBCO Data Virtualization

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TIBCO DV Adapters


Use the CData TIBCO DV Adapter for SQL Server to create a SQL Server data source in TIBCO Data Virtualization Studio and gain access to live SQL Server 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 CData TIBCO DV Adapter for SQL Server, you get federated access to live SQL Server data directly within TIBCO Data Virtualization. This article walks through deploying an adapter and creating a new data source based on SQL Server.

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

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

    .\server_util.bat -server localhost -user admin -password ******** -deploy -package /PATH/TO/tdv.sql.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
Once you deploy the adapter, you can create a new data source in TDV Studio for SQL Server.

Create a SQL Server Data Source in TDV Studio

With the CData TIBCO DV Adapter for SQL Server, you can easily create a data source for SQL Server 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. SQL Server) and click Next.
  3. Name the data source (e.g. CData SQL Server Source).
  4. Fill in the required connection properties.

    Connecting to Microsoft SQL Server

    Connect to Microsoft SQL Server using the following properties:

    • Server: The name of the server running SQL Server.
    • User: The username provided for authentication with SQL Server.
    • Password: The password associated with the authenticating user.
    • Database: The name of the SQL Server database.

    Connecting to Azure SQL Server and Azure Data Warehouse

    You can authenticate to Azure SQL Server or Azure Data Warehouse by setting the following connection properties:

    • Server: The server running Azure. You can find this by logging into the Azure portal and navigating to "SQL databases" (or "SQL data warehouses") -> "Select your database" -> "Overview" -> "Server name."
    • User: The name of the user authenticating to Azure.
    • Password: The password associated with the authenticating user.
    • Database: The name of the database, as seen in the Azure portal on the SQL databases (or SQL warehouses) page.
  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 SQL Server tables, views, and stored procedures as resources.

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