Getting Started with ZIO Kafka

ZIO Kafka is a Kafka client for ZIO. It provides a purely functional, streams-based interface to the Kafka client and integrates effortlessly with ZIO and ZIO Streams.

Introduction

Apache Kafka is a distributed event streaming platform that acts as a distributed publish-subscribe messaging system. It enables us to build distributed streaming data pipelines and event-driven applications.

Kafka has a mature Java client for producing and consuming events, but it has a low-level API. ZIO Kafka is a ZIO native client for Apache Kafka. It has a high-level streaming API on top of the Java client. So we can produce and consume events using the declarative concurrency model of ZIO Streams.

Installation

In order to use this library, we need to add the following line in our build.sbt file:

libraryDependencies += "dev.zio" %% "zio-kafka"         % "2.7.4"
libraryDependencies += "dev.zio" %% "zio-kafka-testkit" % "2.7.4" % Test

Example

Let's write a simple Kafka producer and consumer using ZIO Kafka with ZIO Streams. Before everything, we need a running instance of Kafka. We can do that by saving the following docker-compose script in the docker-compose.yml file and run docker-compose up:

version: '2'
services:
  zookeeper:
    image: confluentinc/cp-zookeeper:latest
    environment:
      ZOOKEEPER_CLIENT_PORT: 2181
      ZOOKEEPER_TICK_TIME: 2000
    ports:
      - 22181:2181
  
  kafka:
    image: confluentinc/cp-kafka:latest
    depends_on:
      - zookeeper
    ports:
      - 29092:29092
    environment:
      KAFKA_BROKER_ID: 1
      KAFKA_ZOOKEEPER_CONNECT: zookeeper:2181
      KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://kafka:9092,PLAINTEXT_HOST://localhost:29092
      KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT
      KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT
      KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1

Now, we can run our ZIO Kafka Streaming application:

import zio._
import zio.kafka.consumer._
import zio.kafka.producer.{Producer, ProducerSettings}
import zio.kafka.serde._
import zio.stream.ZStream

object MainApp extends ZIOAppDefault {
  val producer: ZStream[Producer, Throwable, Nothing] =
    ZStream
      .repeatZIO(Random.nextIntBetween(0, Int.MaxValue))
      .schedule(Schedule.fixed(2.seconds))
      .mapZIO { random =>
        Producer.produce[Any, Long, String](
          topic = "random",
          key = random % 4,
          value = random.toString,
          keySerializer = Serde.long,
          valueSerializer = Serde.string
        )
      }
      .drain

  val consumer: ZStream[Consumer, Throwable, Nothing] =
    Consumer
      .plainStream(Subscription.topics("random"), Serde.long, Serde.string)
      .tap(r => Console.printLine(r.value))
      .map(_.offset)
      .aggregateAsync(Consumer.offsetBatches)
      .mapZIO(_.commit)
      .drain

  def producerLayer =
    ZLayer.scoped(
      Producer.make(
        settings = ProducerSettings(List("localhost:29092"))
      )
    )

  def consumerLayer =
    ZLayer.scoped(
      Consumer.make(
        ConsumerSettings(List("localhost:29092")).withGroupId("group")
      )
    )

  override def run =
    producer.merge(consumer)
      .runDrain
      .provide(producerLayer, consumerLayer)
}

Resources

• An Introduction to ZIO Kafka
• Streaming microservices with ZIO and Kafka by Aleksandar Skrbic (February 2021)
• ZIO WORLD - ZIO Kafka by Aleksandar Skrbic (March 2020) — Aleksandar Skrbic presented ZIO Kafka, a critical library for the modern Scala developer, which hides some of the complexities of Kafka.

Adopters

Here is a partial list of companies using zio-kafka in production.

Want to see your company here? Submit a PR!

• Conduktor
• KelkooGroup
• Rocker