Message Transformation Within Kafka

Robin Moffatt shows how to use Single Message Transforms inside Kafka Connect to reshape messages as you send them downstream:

Single Message Transforms (SMT) is a functionality within Kafka Connect that enables the transformation … of single messages. Clever naming, right?! Anything that’s more complex, such as aggregating or joins streams of data should be done with Kafka Streams — but simple transformations can be done within Kafka Connect itself, without needing a single line of code.

SMTs are applied to messages as they flow through Kafka Connect; inbound it modifies the message before it hits Kafka, outbound and the message in Kafka remains untouched but the data landed downstream is modified.

There’s quite a bit you can do with this, so check it out.

Related Posts

Five Books For Learning Kafka

Data Flair has a guide to five books to help you learn Apache Kafka: The book “Kafka: The Definitive Guide” is written by engineers from Confluent andLinkedIn who are responsible for developing Kafka. They explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. It contains detailed examples as well. […]

Read More

Push-Based Alerting With Kafka Streams

Robin Moffatt shows how to take syslog data and create a notification app using Python and Kafka Streams: Now we can query from it and show the aggregate window timestamp alongside the result: ksql> SELECT ROWTIME, TIMESTAMPTOSTRING(ROWTIME, 'yyyy-MM-dd HH:mm:ss'), \ HOST, INVALID_LOGIN_COUNT \ FROM INVALID_USERS_LOGINS_PER_HOST; 1521644100000 | 2018-03-21 14:55:00 | rpi-03 | 1 1521646620000 | […]

Read More


September 2017
« Aug Oct »