Create Informatica Mappings From/To a JDBC Data Source for SQL Server

Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for SQL Server, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's powerful data transportation and manipulation features. This tutorial shows how to transfer and browse SQL Server data in Informatica PowerCenter.

Deploy the Driver

To deploy the driver to the Informatica PowerCenter server, copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, to the following folder: Informatica-installation-directory\services\shared\jars\thirdparty.

To work with SQL Server data in the Developer tool, you will need to copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, into the following folders:

• Informatica-installation-directory\client\externaljdbcjars
• Informatica-installation-directory\externaljdbcjars

Create the JDBC Connection

Follow the steps below to connect from Informatica Developer:

1. In the Connection Explorer pane, right-click your domain and click Create a Connection.
2. In the New Database Connection wizard that is displayed, enter a name and Id for the connection and in the Type menu select JDBC.
3. In the JDBC Driver Class Name property, enter: cdata.jdbc.sql.SQLDriver
4. In the Connection String property, enter the JDBC URL, using the connection properties for SQL Server.

   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.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.sql.jar

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

   A typical connection string is below:

   jdbc:sql:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=1433;

Browse SQL Server Tables

After you have added the driver JAR to the classpath and created a JDBC connection, you can now access SQL Server entities in Informatica. Follow the steps below to connect to SQL Server and browse SQL Server tables:

1. Connect to your repository.
2. In the Connection Explorer, right-click the connection and click Connect.
3. Clear the Show Default Schema Only option.

You can now browse SQL Server tables in the Data Viewer: Right-click the node for the table and then click Open. On the Data Viewer view, click Run.

Create SQL Server Data Objects

Follow the steps below to add SQL Server tables to your project:

1. Select tables in SQL Server, then right-click a table in SQL Server, and click Add to Project.
2. In the resulting dialog, select the option to create a data object for each resource.
3. In the Select Location dialog, select your project.

   Create a Mapping

   Follow the steps below to add the SQL Server source to a mapping:

   1. In the Object Explorer, right-click your project and then click New -> Mapping.
   2. Expand the node for the SQL Server connection and then drag the data object for the table onto the editor.
   3. In the dialog that appears, select the Read option.

   Follow the steps below to map SQL Server columns to a flat file:

   1. In the Object Explorer, right-click your project and then click New -> Data Object.
   2. Select Flat File Data Object -> Create as Empty -> Fixed Width.
   3. In the properties for the SQL Server object, select the rows you want, right-click, and then click copy. Paste the rows into the flat file properties.
   4. Drag the flat file data object onto the mapping. In the dialog that appears, select the Write option.
   5. Click and drag to connect columns.

   To transfer SQL Server data, right-click in the workspace and then click Run Mapping.