Kafka Streams 101: KTable

| Sophie Blee-Goldman (Apache Kafka® Committer and Software Engineer, Confluent) provides a full introduction to Kafka Tables, also known as KTables. A KTable is an abstraction of a changelog stream, where each record in the stream is an update on the primary-keyed table. Whereas event streams, which are sequences of key-value pairs that are independent of each other. In contrast, an update stream is also a sequence of key-value pairs, but newly arriving records replace existing ones with the same key. A KTable is an update stream. Like a KStream, you build a KTable with a StreamBuilder, but you use builder.table instead of builder.stream. But unlike a KStream, a KTable can only subscribe to a single topic at once. Since a KTable needs to store its latest value somewhere, it uses a state store. Updates to a KTable may be buffered in a cache, and only when it gets flushed do the updates proceed further down the processor topology. Like a KStream, you can use mapping and filtering operations with a KTable. KTable has a special variant, a GlobalKTable, which can access all of a topic’s partitions at once, unlike a regular KTable, which typically just accesses one.

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► Streams and Tables in Apache Kafka: A Primer:
► KTable:
► Interface KTable:


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#kafka #kafkastreams #streamprocessing #apachekafka #confluent


6 thoughts on “Kafka Streams 101: KTable”
  1. You could use the white space on the side by keywords there.
    Following something totally new just by listening someone talking could be less easy for new comers.

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