Create Informatica Mappings From/To a JDBC Data Source for Lakebase

Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for Lakebase, 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 Lakebase 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 Lakebase 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.lakebase.LakebaseDriver

4. In the Connection String property, enter the JDBC URL, using the connection properties for Lakebase. To connect to Databricks Lakebase, start by setting the following properties:
   • DatabricksInstance: The Databricks instance or server hostname, provided in the format instance-abcdef12-3456-7890-abcd-abcdef123456.database.cloud.databricks.com.
   • Server: The host name or IP address of the server hosting the Lakebase database.
   • Port (optional): The port of the server hosting the Lakebase database, set to 5432 by default.
   • Database (optional): The database to connect to after authenticating to the Lakebase Server, set to the authenticating user's default database by default.

   OAuth Client Authentication

   To authenicate using OAuth client credentials, you need to configure an OAuth client in your service principal. In short, you need to do the following:

   1. Create and configure a new service principal
   2. Assign permissions to the service principal
   3. Create an OAuth secret for the service principal

   For more information, refer to the Setting Up OAuthClient Authentication section in the Help documentation.

   OAuth PKCE Authentication

   To authenticate using the OAuth code type with PKCE (Proof Key for Code Exchange), set the following properties:

   • AuthScheme: OAuthPKCE.
   • User: The authenticating user's user ID.

   For more information, refer to the Help documentation.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.lakebase.jar
   

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

   👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
   

   A typical connection string is below:

   jdbc:lakebase:DatabricksInstance=lakebase;Server=127.0.0.1;Port=5432;Database=my_database;InitiateOAuth=GETANDREFRESH;

Browse Lakebase Tables

After you have added the driver JAR to the classpath and created a JDBC connection, you can now access Lakebase entities in Informatica. Follow the steps below to connect to Lakebase and browse Lakebase 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. 👁 The driver models Lakebase entities as relational tables. (Salesforce is shown.)
   

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

Create Lakebase Data Objects

Follow the steps below to add Lakebase tables to your project:

1. Select tables in Lakebase, then right-click a table in Lakebase, 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 Lakebase source to a mapping:

   1. In the Object Explorer, right-click your project and then click New -> Mapping.
   2. Expand the node for the Lakebase connection and then drag the data object for the table onto the editor.
   3. In the dialog that appears, select the Read option.
   👁 The source Lakebase table in the mapping. (Salesforce is shown.)
   

   Follow the steps below to map Lakebase 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 Lakebase 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 Lakebase data, right-click in the workspace and then click Run Mapping.

   👁 The completed mapping. (Salesforce is shown.)