node-kafka-streams

npm install --save kafka-streams

const {KafkaStreams} = require("kafka-streams");

const config = require("./config.json");
const factory = new KafkaStreams(config);

const kstream = factory.getKStream("input-topic");
const ktable = factory.getKTable(/* .. */);

kstream.merge(ktable).filter(/* .. */).map(/* .. */).reduce(/* .. */).to("output-topic");

CHANGES: The latest version brings a lot of changes, please check here before updating.

API Overview

• Quick Start
• Message 'to' and 'from' Apache Kafka
• API Info
• Documentation
• Operator descriptions
• Examples
• Native Client | SSL, SASL, Kerberos

You might also like

• node-kafka-connect
• node-schema-registry
• node-kafka-rest-ui

README Overview

• Prerequisites
• Aim of this Library
• Description
• Port Progress Overview
• Operator Implementations
• Additional Operators
• Stream Action Implementations
• Join Operators Status
• Window Operations
• FAQ - More

Prerequisites

• kafka broker should be version >= 0.11.x
• Node.js should be version >= 8.x.x

Aim of this Library

• this is not a 1:1 port of the official JAVA kafka-streams
• the goal of this project is to give at least the same options to a nodejs developer that kafka-streams provides for JVM developers
• stream-state processing, table representation, joins, aggregate etc. I am aiming for the easiest api access possible checkout the word count example

Description

kafka-streams 🐙 equivalent for nodejs ✨🐢🚀✨ build on super fast 🔥 observables using most.js 🤘

ships with sinek 🙏 for backpressure

comes with js and native Kafka client, for more performance and SSL, SASL and Kerberos features

the lib also comes with a few window operations that are more similar to Apache Flink, yet they still feel natural in this api :squirrel:

overwriteable local-storage solution allows for any kind of datastore e.g. RocksDB, Redis, Postgres..

async (Promises) and sync stream operators e.g. stream$.map() or stream$.asyncMap()

super easy API :goberserk:

the lib is based on sinek, which is based on kafka-node's ConsumerGroups

Port Progress Overview

• core structure
• KStream base - stream as a changelog
• KTable base - stream as a database
• KStream & KTable cloning
• complex stream join structure
• advanced joins see
• windows (for joins) see
• flink like window operations
• word-count example
• more examples
• local-storage for etl actions
• local-storage factory (one per action)
• KStorage example for any DB that supports atomic actions
• backing-up local-storage via kafka
• kafka client implementation
• KTable replay to Kafka (produce)
• stream for topic message production only
• sinek implementation
• backpressure mode for KafkaClient
• auto-json payloads (read-map/write-map)
• auto producer partition and keyed-message handling
• documentation
• API description
• higher join & combine examples
• embed native client librdkafka for more performance
• SSL
• SASL
• Kerberos

Operator Implementations

• map
• asyncMap
• constant
• scan
• timestamp
• tap
• filter
• skipRepeats
• skipRepeatsWith
• slice
• take
• skip
• takeWhile
• skipWhile
• until
• since
• reduce
• chainReduce
• forEach (observe)
• chainForEach
• drain
• _zip
• _merge
• _join
• _combine
• _sample
• throttle
• debounce
• delay
• multicast
• A description of the operators can be found here
• Missing an operator? Feel free to open an issue 👮

Additional Operators

• mapStringToArray
• mapArrayToKV
• mapStringToKV
• mapParse
• mapStringify
• atThroughput
• mapWrapKafkaPayload
• mapToFormat
• mapFromFormat
• Want more? Feel free to open an issue 👮

Stream Action Implementations

• countByKey
• sumByKey
• min
• max
• Want more? Feel free to open an issue 👮

Join Operations

Operation description

KStream Status

• merge
• outerJoin
• innerJoin
• leftJoin

KTable Status

• merge
• outerJoin
• innerJoin
• leftJoin

KTable <-> KStream Status

• merge
• outerJoin
• innerJoin
• leftJoin

Window Operations

KStream

• window
• advanced window
• rolling window

More

Can I use this library yet?

Yes.

Are we ready for production yet?

Probably, yes. 😄

Even More

Forks or Stars give motivation :bowtie: