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Processing node

A processing node is a stream-processing component in a topology that processes records using logic such as filtering, aggregation, or transformation.

How 2 Manning books explain it

Kafka Streams in Action, Second Edition

The Processor API is the lower-level Kafka Streams programming interface for processing records with direct access to record context and metadata.

How it is used
Builds record-processing steps in Kafka Streams topologies, using the Processor API when DSL operations cannot provide required control.
How deep it goes
Explains topology wiring, process() logic, selective forwarding, state stores, punctuation, and node inspection; defers deeper sub-topology treatment.
Examples
Uses uppercase messages, beer-sales currency routing, stock trend analysis, and sensor aggregation processors.
What you can do after
Build it from scratch by wiring named sources, processors, and sinks and implementing process() to transform or selectively forward records.

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Kafka for Architects

A processing node is a topology node that contains stream-processing logic such as filtering, aggregation, or transformation.

How it is used
Implements filtering, mapping, joining, aggregation, or transformation within a Kafka Streams topology.
How deep it goes
Details graph placement, state-store links, Java Processor implementations, scheduling, and low-level Kafka access.
Examples
Uses fraud detection with historical state and event flow from input topics through processing nodes to output topics.
What you can do after
Build custom processing logic as Java Processor implementations and place it in an explicitly defined topology.

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Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.