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This article shows how you can easily integrate the CData JDBC driver for Kafka into your processes in RapidMiner. This article uses the CData JDBC Driver for Kafka to transfer Kafka data to a process in RapidMiner.
You can follow the procedure below to establish a JDBC connection to Kafka:
jdbc:apachekafka:
cdata.jdbc.apachekafka.ApacheKafkaDriverπ The JDBC driver configuration. (Salesforce is shown.)
Set BootstrapServers and the Topic properties to specify the address of your Apache Kafka server, as well as the topic you would like to interact with.
You may be required to trust the server certificate. In such cases, specify the TrustStorePath and the TrustStorePassword if necessary.
For assistance in constructing the JDBC URL, use the connection string designer built into the Kafka JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.apachekafka.jar
Fill in the connection properties and copy the connection string to the clipboard.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)A typical connection string is below:
User=admin;Password=pass;BootStrapServers=https://localhost:9091;Topic=MyTopic;
You can now use your Kafka connection with the various RapidMiner operators in your process. To retrieve Kafka data, drag the Retrieve operator from the Operators view.
π A Retrieve operation to select data. (Salesforce is shown.)
With the Retrieve operator selected, you can then define which table to retrieve in the Parameters view by clicking the folder icon next to the "repository entry." In the resulting Repository Browser, you can expand your connection node to select the desired example set.
Finally, wire the output to the Retrieve process to a result, and run the process to see the Kafka data.
π The results of the Retrieve operation. (Salesforce is shown.)Download a free trial of the Apache Kafka Driver to get started:
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π Apache Kafka IconRapidly create and deploy powerful Java applications that integrate with Apache Kafka.