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Version: 2.x

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.

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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"         % "2.9.0"
libraryDependencies += "dev.zio" %% "zio-kafka-testkit" % "2.9.0" % Test

Snapshots are available on Sonatype's snapshot repository https://oss.sonatype.org/content/repositories/snapshots. Browse here to find available versions.

For zio-kafka-testkit together with Scala 3, you also need to add the following to your build.sbt file:

excludeDependencies += "org.scala-lang.modules" % "scala-collection-compat_2.13"

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​

Adopters​

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

Want to see your company here? Submit a PR!