Synopsis

Learn the core concepts that ksqlDB is built around.

Events

An event is the fundamental unit of data in stream processing.

Stream processing is a way to write programs computing over unbounded streams of events.

Materialized views precompute the results of queries at write-time so reads become predictably fast.

Streams

A stream is an immutable, append-only collection of events that represents a series of historical facts.

Tables

A table is a mutable collection of events that models change over time.

Queries

Queries are how you process events and retrieve computed results.

Joins

Joins are how to combine data from many streams and tables into one.

Windows help you bound a continuous stream of events into distinct time intervals.

Extend ksqlDB to invoke custom code written in Java.

Connectors

Connectors source and sink data from external systems.

Lambda Functions

Lambda functions allow you to apply in-line functions without creating a full UDF.

None of this making sense? Take a step back and learn the basics of Kafka first.

Last update: 2021-12-05