KStream & KTable Concepts
Distinguish between KStream (a record-by-record stream) and KTable (a changelog stream representing a materialized view) in Kafka Streams.
KStream & KTable Unveiled
In Kafka Streams, KStream and KTable are fundamental data abstractions. They represent different ways to view and process your data.
Understanding their differences is key to building powerful, real-time stream processing applications.
KStream: A Stream of Events
A KStream represents an unbounded, immutable sequence of data records. Think of it like a traditional log or event stream.
- Each record is treated as a distinct, independent event.
- Records are processed one by one, in the order they arrive.
- It never "updates" a previous record; new records are always additions.
It's perfect for handling events like clicks, sensor readings, or financial transactions.