Stream Sybase 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 Sybase, Kafka can work with live Sybase data. This article describes how to connect, access and stream Sybase data into Apache Kafka Topics and to start Confluent Control Center to help users secure, manage, and monitor the Sybase 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 Sybase data. When you issue complex SQL queries to Sybase, the driver pushes supported SQL operations, like filters and aggregations, directly to Sybase 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 Sybase data using native data types.

Prerequisites

Before connecting the CData JDBC Driver for streaming Sybase 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 Sybase data

1. Download CData JDBC Driver for Sybase 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 Sybase mkdir Sybase
   2. Move the downloaded driver file (.zip) into this new directory mv SybaseJDBCDriver.zip Sybase/
   3. Unzip the CData SybaseJDBCDriver contents into this new directory unzip SybaseJDBCDriver.zip
3. Open the Sybase directory and navigate to the lib folder ls cd lib/
4. Copy the contents of the lib folder of Sybase into the lib folder of Kafka Connect JDBC. Check the Kafka Connect JDBC folder contents to confirm that the cdata.jdbc.sybase.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 Sybase JDBC driver license using the given command, followed by your Name and Email ID java -jar cdata.jdbc.sybase.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 Sybase 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_sybase_01", "config": { "connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector", "connection.url": "jdbc:sybase:User=myuser;Password=mypassword;Server=localhost;Database=mydatabase;Charset=iso_1;", "topic.prefix": "sybase-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 Sybase data.

     Built-in Connection String Designer

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

     java -jar cdata.jdbc.sybase.jar

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

     To connect to Sybase, specify the following connection properties:

     • Server: Set this to the name or network address of the Sybase database instance.
     • Database: Set this to the name of the Sybase database running on the specified Server.

     Optionally, you can also secure your connections with TLS/SSL by setting UseSSL to true.

     Sybase supports several methods for authentication including Password and Kerberos.

     Connect Using Password Authentication

     Set the AuthScheme to Password and set the following connection properties to use Sybase authentication.

     • User: Set this to the username of the authenticating Sybase user.
     • Password: Set this to the username of the authenticating Sybase user.

     Connect using LDAP Authentication

     To connect with LDAP authentication, you will need to configure Sybase server-side to use the LDAP authentication mechanism.

     After configuring Sybase for LDAP, you can connect using the same credentials as Password authentication.

     Connect Using Kerberos Authentication

     To leverage Kerberos authentication, begin by enabling it setting AuthScheme to Kerberos.

   See the Using Kerberos section in the Help documentation for more information on using Kerberos authentication.

   You can find an example connection string below: Server=MyServer;Port=MyPort;User=SampleUser;Password=SamplePassword;Database=MyDB;Kerberos=true;KerberosKDC=MyKDC;KerberosRealm=MYREALM.COM;KerberosSPN=server-name

9. topic.prefix: A prefix that will be added to the Kafka topics created by the connector. It's set to "sybase-01-".
10. 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 Sybase as Kafka Topics.

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

11. Run ksqlDB and list the topics. Use the commands: ksql list topics;
12. 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 Sybase and start streaming Sybase data into Apache Kafka. Reach out to our Support Team if you have any questions.