Connect to SAP SuccessFactors Data in NetBeans

The CData JDBC Driver for SAP SuccessFactors integrates connectivity to live SAP SuccessFactors data in IDEs that support JDBC. The JDBC standard enables you to use built-in data access wizards and other tools supporting rapid development. This article shows how to connect to SAP SuccessFactors data in NetBeans. You will create a connection and edit and save SAP SuccessFactors data in the Table Editor.

Create a JDBC Data Source for SAP SuccessFactors in NetBeans

To create the JDBC data source, expand the Database node in the Service window, right-click the Drivers node, and select New Driver. In the New Driver wizard that results, enter the following information:

• Driver File(s): Click Add and, in the file explorer dialog that appears, select the cdata.jdbc.sapsuccessfactors.jar file. The driver JAR is located in the lib subfolder of the installation directory.
• Driver Class: Click Find to search for the driver class inside the JAR. Then select cdata.jdbc.sapsuccessfactors.SAPSuccessFactorsDriver from the menu.
• Name: Enter the name for the driver.

Define Connection Parameters

Follow the steps below to define required connection properties:

1. In the Service window, right-click the Database node and click New Connection.

2. In the New Connection Wizard, enter the following connection properties:

   • Driver Name: In the menu, select the CData JDBC Driver for SAP SuccessFactors.
   • User Name: Enter the username. This can also be defined in the JDBC URL.
   • Password: Enter the password. This can also be defined in the JDBC URL.

   • JDBC URL: Specify the JDBC URL.

     You can authenticate to SAP Success Factors using Basic authentication or OAuth with SAML assertion.

     Basic Authentication

     You must provide values for the following properties to successfully authenticate to SAP Success Factors. Note that the provider will reuse the session opened by SAP Success Factors using cookies. Which means that your credentials will be used only on the first request to open the session. After that, cookies returned from SAP Success Factors will be used for authentication.

     • Url: set this to the URL of the server hosting Success Factors. Some of the servers are listed in the SAP support documentation (external link).
     • User: set this to the username of your account.
     • Password: set this to the password of your account.
     • CompanyId: set this to the unique identifier of your company.

     OAuth Authentication

     You must provide values for the following properties, which will be used to get the access token.

     • Url: set this to the URL of the server hosting Success Factors. Some of the servers are listed in the SAP support documentation (external link).
     • User: set this to the username of your account.
     • CompanyId: set this to the unique identifier of your company.
     • OAuthClientId: set this to the API Key that was generated in API Center.
     • OAuthClientSecret: the X.509 private key used to sign SAML assertion. The private key can be found in the certificate you downloaded in Registering your OAuth Client Application.
     • InitiateOAuth: set this to GETANDREFRESH.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.sapsuccessfactors.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 JDBC URL is the following:

     jdbc:sapsuccessfactors:User=username;Password=password;CompanyId=CompanyId;Url=https://api4.successfactors.com;

Query SAP SuccessFactors Data

To connect to SAP SuccessFactors data, right-click the connection in the Database node and click Connect. After the connection is established, you can expand it to discover schema information.

To load a table in the Data Views window, right-click the table and then click View Data. You can also insert, update, or delete records in the Data Views window.