Stream SAP SuccessFactors Data into Apache Kafka Topics

Apache Kafka is an open-source stream processing platform that is primarily used for building real-time data pipelines and event-driven applications. When paired with the CData JDBC Driver for SAP SuccessFactors, Kafka can work with live SAP SuccessFactors data. This article describes how to connect, access and stream SAP SuccessFactors data into Apache Kafka Topics and to start Confluent Control Center to help users secure, manage, and monitor the SAP SuccessFactors data received using Kafka infrastructure in the Confluent Platform.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live SAP SuccessFactors data. When you issue complex SQL queries to SAP SuccessFactors, the driver pushes supported SQL operations, like filters and aggregations, directly to SAP SuccessFactors and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze SAP SuccessFactors data using native data types.

Prerequisites

Before connecting the CData JDBC Driver for streaming SAP SuccessFactors data in Apache Kafka Topics, install and configure the following in the client Linux-based system.

1. Confluent Platform for Apache Kafka
2. Confluent Hub CLI Installation
3. Self-Managed Kafka JDBC Source Connector for Confluent Platform

Define a New JDBC Connection to SAP SuccessFactors data

1. Download CData JDBC Driver for SAP SuccessFactors on a Linux-based system
2. Follow the given instructions to create a new directory extract all the driver contents into it:
   1. Create a new directory named SAP SuccessFactors mkdir SAPSuccessFactors
   2. Move the downloaded driver file (.zip) into this new directory mv SAPSuccessFactorsJDBCDriver.zip SAPSuccessFactors/
   3. Unzip the CData SAPSuccessFactorsJDBCDriver contents into this new directory unzip SAPSuccessFactorsJDBCDriver.zip
3. Open the SAP SuccessFactors directory and navigate to the lib folder ls cd lib/
4. Copy the contents of the lib folder of SAP SuccessFactors into the lib folder of Kafka Connect JDBC. Check the Kafka Connect JDBC folder contents to confirm that the cdata.jdbc.sapsuccessfactors.jar file is successfully copied into the lib folder cp * ../../confluent-7.5.0/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/ cd ../../confluent-7.5.0/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/
5. Install the CData SAP SuccessFactors JDBC driver license using the given command, followed by your Name and Email ID java -jar cdata.jdbc.sapsuccessfactors.jar -l
6. Enter the product key or "TRIAL" (In the scenarios of license expiry, please contact our CData Support team)
7. Start the Confluent local services using the command: confluent local services start

   This starts all the Confluent Services like Zookeeper, Kafka, Schema Registry, Kafka REST, Kafka CONNECT, ksqlDB and Control Center. You are now ready to use the CData JDBC driver for SAP SuccessFactors to stream messages using Kafka Connect Driver into Kafka Topics on ksqlDB.

8. Create the Kafka topics manually using a POST HTTP API Request: curl --location 'server_address:8083/connectors' --header 'Content-Type: application/json' --data '{ "name": "jdbc_source_cdata_sapsuccessfactors_01", "config": { "connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector", "connection.url": "jdbc:sapsuccessfactors:User=username;Password=password;CompanyId=CompanyId;Url=https://api4.successfactors.com;", "topic.prefix": "sapsuccessfactors-01-", "mode": "bulk" } }'

   Let us understand the fields used in the HTTP POST body (shown above):

   • connector.class: Specifies the Java class of the Kafka Connect connector to be used.
   • connection.url: The JDBC connection URL to connect with SAP SuccessFactors data.

     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.

     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.

   • topic.prefix: A prefix that will be added to the Kafka topics created by the connector. It's set to "sapsuccessfactors-01-".
   • mode: Specifies the mode in which the connector operates. In this case, it's set to "bulk", which suggests that the connector is configured to perform bulk data transfer.

   This request adds all the tables/contents from SAP SuccessFactors as Kafka Topics.

   Note: The IP Address (server) to POST the request (shown above) is the Linux Network IP Address.

9. Run ksqlDB and list the topics. Use the commands: ksql list topics;
10. To view the data inside the topics, type the SQL Statement: PRINT topic FROM BEGINNING;

Connecting with the Confluent Control Center

To access the Confluent Control Center user interface, ensure to run the "confluent local services" as described in the above section and type http://<server address>:9021/clusters/ on your local browser.

Get Started Today

Download a free, 30-day trial of the CData JDBC Driver for SAP SuccessFactors and start streaming SAP SuccessFactors data into Apache Kafka. Reach out to our Support Team if you have any questions.