kstream

README

KStream - Kafka Streams for Golang

KStream is a kafka streams implementation written in Golang. It is heavily influenced by Kafka-Streams(Java) library and includes features such as Streams, Tables, State Stores, EOS support, and so on.

Features

• Streams: Leverage the streaming capabilities of KStream to process and transform data in real-time.
• Tables: Utilize tables to perform aggregations, joins, and other advanced operations on the data streams.
• State Stores: Benefit from built-in state stores for efficient storage and retrieval of stream data.
• EOS Support: Enjoy the reliability of exactly-once semantics with KStream's support for EOS.

DSL
Branch	Supported(Split Example )
Filter	Supported
Inverse Filter	Not Supported
FlatMap	Supported
FlatMap (values only)	Supported(Word Count Example)
Peek	Not Supported(Use Each instead)
Foreach	Supported(Word Count Example)
Map	Supported
Map (values only)	Supported
Merge	Supported
SelectKey	Supported(Word Count Example)
Repartition	Supported
Table to Stream	Supported(Word Count Example)
Stream to Table	Supported(Word Count Example)
Aggregate	Supported(Word Count Example)
GroupBy	Not Supported
GroupByKey	Not Supported
Aggregate (windowed)	Not Supported
Cogroup	Not Supported

Join Support

Please refer https://kafka.apache.org/20/documentation/streams/developer-guide/dsl-api.html#joining

Join
KTable-to-KTable	Supported
KStream-to-KTable	Supported
KStream-to-GlobalKTable	Supported
KTable-to-KTable Foreign-Key Join	Supported(Using lookup functions)
KTable-to-GlobalKTable	Not Supported
KStream-to-KStream	Not Supported

Getting Started

To get started with KStream, follow these steps:

1. Install librdkafka(https://github.com/confluentinc/librdkafka#installation).