An open-source project by

This project is sponsored by Conduktor.io, a graphical desktop user interface for Apache Kafka.

Once you have started your cluster, you can use Conduktor to easily manage it. Just connect against localhost:9092 if using Docker, or 192.168.99.100 if using Docker Toolbox

kafka-stack-docker-compose

This replicates as well as possible real deployment configurations, where you have your zookeeper servers and kafka servers actually all distinct from each other. This solves all the networking hurdles that comes with Docker and docker-compose, and is compatible cross platform.

UPDATE: No /etc/hosts file changes are necessary anymore. Explanations at: https://rmoff.net/2018/08/02/kafka-listeners-explained/

Stack version

• Zookeeper version: 3.5.9
• Kafka version: 2.8.0 (Confluent 6.2.1)
• Kafka Schema Registry: Confluent 6.2.1
• Kafka Rest Proxy: Confluent 6.2.1
• Kafka Connect: Confluent 6.2.1
• ksqlDB Server: Confluent 6.2.1
• Zoonavigator: 0.8.0

For a UI tool to access your local Kafka cluster, use the free version of Conduktor

Requirements

Docker

Please export your environment before starting the stack:

export DOCKER_HOST_IP=127.0.0.1

(that's the default value and you actually don't need to do a thing)

Docker-Toolbox

If you are using Docker for Mac <= 1.11, or Docker Toolbox for Windows (your docker machine IP is usually 192.168.99.100)

Please export your environment before starting the stack:

export DOCKER_HOST_IP=192.168.99.100

Mac M1 issues

Currently, the Docker Images are not working with M1 Mac. This is because they haven't been built by Confluent for that platform. See confluentinc/common-docker/#117 for more details

Single Zookeeper / Single Kafka

This configuration fits most development requirements.

• Zookeeper will be available at $DOCKER_HOST_IP:2181
• Kafka will be available at $DOCKER_HOST_IP:9092
• (experimental) JMX port at $DOCKER_HOST_IP:9999

Run with:

docker-compose -f zk-single-kafka-single.yml up
docker-compose -f zk-single-kafka-single.yml down

Clean state (zookeeper & kafka) with :

docker-compose -f zk-single-kafka-single.yml down
docker-compose -f zk-single-kafka-single.yml rm

Single Zookeeper / Multiple Kafka

If you want to have three brokers and experiment with kafka replication / fault-tolerance.

• Zookeeper will be available at $DOCKER_HOST_IP:2181
• Kafka will be available at $DOCKER_HOST_IP:9092,$DOCKER_HOST_IP:9093,$DOCKER_HOST_IP:9094

Run with:

docker-compose -f zk-single-kafka-multiple.yml up
docker-compose -f zk-single-kafka-multiple.yml down

Clean state (zookeeper & kafka) with :

docker-compose -f zk-single-kafka-multiple.yml down
docker-compose -f zk-single-kafka-multiple.yml rm

Multiple Zookeeper / Single Kafka

If you want to have three zookeeper nodes and experiment with zookeeper fault-tolerance.

• Zookeeper will be available at $DOCKER_HOST_IP:2181,$DOCKER_HOST_IP:2182,$DOCKER_HOST_IP:2183
• Kafka will be available at $DOCKER_HOST_IP:9092
• (experimental) JMX port at $DOCKER_HOST_IP:9999

Run with:

docker-compose -f zk-multiple-kafka-single.yml up
docker-compose -f zk-multiple-kafka-single.yml down

Clean state (zookeeper & kafka) with :

docker-compose -f zk-multiple-kafka-single.yml down
docker-compose -f zk-multiple-kafka-single.yml rm

Multiple Zookeeper / Multiple Kafka

If you want to have three zookeeper nodes and three kafka brokers to experiment with production setup.

• Zookeeper will be available at $DOCKER_HOST_IP:2181,$DOCKER_HOST_IP:2182,$DOCKER_HOST_IP:2183
• Kafka will be available at $DOCKER_HOST_IP:9092,$DOCKER_HOST_IP:9093,$DOCKER_HOST_IP:9094

Run with:

docker-compose -f zk-multiple-kafka-multiple.yml up
docker-compose -f zk-multiple-kafka-multiple.yml down

Clean state (zookeeper & kafka) with :

docker-compose -f zk-multiple-kafka-multiple.yml down
docker-compose -f zk-multiple-kafka-multiple.yml rm

Full stack

Need a UI? We recommend using Conduktor as your tool to bring a unified UI to all these components

• Single Zookeeper: $DOCKER_HOST_IP:2181
• Single Kafka: $DOCKER_HOST_IP:9092
• Kafka Schema Registry: $DOCKER_HOST_IP:8081
• Kafka Rest Proxy: $DOCKER_HOST_IP:8082
• Kafka Connect: $DOCKER_HOST_IP:8083
• KSQL Server: $DOCKER_HOST_IP:8088
• Zoonavigator Web: $DOCKER_HOST_IP:8004
• (experimental) JMX port at $DOCKER_HOST_IP:9999

Run with:

docker-compose -f full-stack.yml up
docker-compose -f full-stack.yml down

Clean state (zookeeper & kafka) with :

docker-compose -f full-stack.yml down
docker-compose -f full-stack.yml rm

FAQ

Kafka

Q: Kafka's log is too verbose, how can I reduce it?

A: Add the following line to your docker-compose environment variables: KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO". Full logging control can be accessed here: https://github.com/confluentinc/cp-docker-images/blob/master/debian/kafka/include/etc/confluent/docker/log4j.properties.template

Q: How do I delete data to start fresh?

A: Your data is persisted from within docker volumes , so if you want for example to reset the data in the full-stack docker compose, do a docker-compose -f full-stack.yml rm.

Q: Can I change the zookeeper ports?

A: yes. Say you want to change zoo1 port to 12181 (only relevant lines are shown):

  zoo1:
    ports:
      - "12181:12181"
    environment:
        ZOO_PORT: 12181
        
  kafka1:
    environment:
      KAFKA_ZOOKEEPER_CONNECT: "zoo1:12181"

Q: Can I change the Kafka ports?

A: yes. Say you want to change kafka1 port to 12345 (only relevant lines are shown). Note only LISTENER_DOCKER_EXTERNAL changes:

  kafka1:
    image: confluentinc/cp-kafka:6.2.1
    hostname: kafka1
    ports:
      - "12345:12345"
    environment:
      KAFKA_ADVERTISED_LISTENERS: LISTENER_DOCKER_INTERNAL://kafka1:19092,LISTENER_DOCKER_EXTERNAL://${DOCKER_HOST_IP:-127.0.0.1}:12345

Q: Kafka is using a lot of disk space for testing. Can I reduce it?

A: yes. This is for testing only!!! Reduce the KAFKA_LOG_SEGMENT_BYTES to 16MB and the KAFKA_LOG_RETENTION_BYTES to 128MB

  kafka1:
    image: confluentinc/cp-kafka:6.2.1
    ...
    environment:
      ...
      # For testing small segments 16MB and retention of 128MB
      KAFKA_LOG_SEGMENT_BYTES: 16777216
      KAFKA_LOG_RETENTION_BYTES: 134217728

Q: How do I expose kafka?

A: If you want to expose kafka outside of your local machine, you must set KAFKA_ADVERTISED_LISTENERS to the IP of the machine so that kafka is externally accessible. To achieve this you can set LISTENER_DOCKER_EXTERNAL to the IP of the machine. For example, if the IP of your machine is 50.10.2.3, follow the sample mapping below:

  kafka1:
    image: confluentinc/cp-kafka:6.2.1
    ...
    environment:
      ...
      KAFKA_ADVERTISED_LISTENERS: LISTENER_DOCKER_INTERNAL://kafka2:19093,LISTENER_DOCKER_EXTERNAL://50.10.2.3:9093

Q: How do I add connectors to kafka connect?

Create a connectors directory and place your connectors there (usually in a subdirectory) connectors/example/my.jar

The directory is automatically mounted by the kafka-connect Docker container

OR edit the bash command which pulls connectors at runtime

confluent-hub install --no-prompt debezium/debezium-connector-mysql:latest
        confluent-hub install 

Q: How to disable Confluent metrics?

Add this environment variable

KAFKA_CONFLUENT_SUPPORT_METRICS_ENABLE=false