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

Prerequisites

Before connecting the CData JDBC Driver for streaming SingleStore 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 SingleStore data

1. Download CData JDBC Driver for SingleStore 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 SingleStore

      		mkdir SingleStore
      		

   2. Move the downloaded driver file (.zip) into this new directory

      		mv SingleStoreJDBCDriver.zip SingleStore/
      		

   3. Unzip the CData SingleStoreJDBCDriver contents into this new directory

      		unzip SingleStoreJDBCDriver.zip
      		

3. Open the SingleStore directory and navigate to the lib folder

   ls
   cd lib/
   

4. Copy the contents of the lib folder of the CData JDBC Driver for SingleStore into the lib folder of Kafka Connect JDBC. Check the Kafka Connect JDBC folder contents to confirm that the cdata.jdbc.singlestore.jar file is successfully copied into the lib folder

   cp -r /path/to/CData JDBC Driver for SingleStore/lib/* /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/
   cd /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/
   

5. Install the CData SingleStore JDBC driver license using the given command, followed by your Name and Email ID

   	java -jar cdata.jdbc.singlestore.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 SingleStore to stream messages using Kafka Connect Driver into Kafka Topics on ksqlDB.

   👁 Start the Confluent local services
   
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_singlestore_01", 
   		"config": { 
   			"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector", 
   			"connection.url": "jdbc:singlestore:User=myUser;Password=myPassword;Database=NorthWind;Server=myServer;Port=3306;",
   		"topic.prefix": "singlestore-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 SingleStore data.

     Built-in Connection String Designer

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

     		java -jar cdata.jdbc.singlestore.jar
     		

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

     The following connection properties are required in order to connect to data.

     • Server: The host name or IP of the server hosting the SingleStore database.
     • Port: The port of the server hosting the SingleStore database.
     • Database (Optional): The default database to connect to when connecting to the SingleStore Server. If this is not set, tables from all databases will be returned.

     Connect Using Standard Authentication

     To authenticate using standard authentication, set the following:

     • User: The user which will be used to authenticate with the SingleStore server.
     • Password: The password which will be used to authenticate with the SingleStore server.

     Connect Using Integrated Security

     As an alternative to providing the standard username and password, you can set IntegratedSecurity to True to authenticate trusted users to the server via Windows Authentication.

     Connect Using SSL Authentication

     You can leverage SSL authentication to connect to SingleStore data via a secure session. Configure the following connection properties to connect to data:

     • SSLClientCert: Set this to the name of the certificate store for the client certificate. Used in the case of 2-way SSL, where truststore and keystore are kept on both the client and server machines.
     • SSLClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
     • SSLClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
     • SSLClientCertType: The certificate type of the client store.
     • SSLServerCert: The certificate to be accepted from the server.

     Connect Using SSH Authentication

     Using SSH, you can securely login to a remote machine. To access SingleStore data via SSH, configure the following connection properties:

     • SSHClientCert: Set this to the name of the certificate store for the client certificate.
     • SSHClientCertPassword: If a client certificate store is password-protected, set this value to the store's password.
     • SSHClientCertSubject: The subject of the TLS/SSL client certificate. Used to locate the certificate in the store.
     • SSHClientCertType: The certificate type of the client store.
     • SSHPassword: The password that you use to authenticate with the SSH server.
     • SSHPort: The port used for SSH operations.
     • SSHServer: The SSH authentication server you are trying to authenticate against.
     • SSHServerFingerPrint: The SSH Server fingerprint used for verification of the host you are connecting to.
     • SSHUser: Set this to the username that you use to authenticate with the SSH server.
     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     
   • topic.prefix: A prefix that will be added to the Kafka topics created by the connector. It's set to "singlestore-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 SingleStore 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;
   

   👁 List the Kafka Topics (BigCommerce is shown)
   
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 SingleStore and start streaming SingleStore data into Apache Kafka. Reach out to our Support Team if you have any questions.