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
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/
- Zookeeper version: 3.6.3 (Confluent 7.0.1)
- Kafka version: 3.0.x (Confluent 7.0.1)
- Kafka Schema Registry: Confluent 7.0.1
- Kafka Rest Proxy: Confluent 7.0.1
- Kafka Connect: Confluent 7.0.1
- ksqlDB Server: Confluent 7.0.1
- Zoonavigator: 1.1.1
For a UI tool to access your local Kafka cluster, use the free version of Conduktor
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)
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
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
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
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
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
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
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
$DOCKER_HOST_IP:9999
Run with:
docker-compose -f full-stack.yml up
docker-compose -f full-stack.yml down
Q: Kafka's log is too verbose, how can I reduce it?
A: Add the following line to your docker-compose environment variables: KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO". Full logging control can be accessed here: https://github.com/confluentinc/cp-docker-images/blob/master/debian/kafka/include/etc/confluent/docker/log4j.properties.template
Q: How do I delete data to start fresh?
A: Your data is persisted from within the docker compose folder, so if you want for example to reset the data in the full-stack docker compose, do a docker-compose -f full-stack.yml down.
Q: Can I change the zookeeper ports?
A: yes. Say you want to change zoo1 port to 12181 (only relevant lines are shown):
zoo1:
ports:
- "12181:12181"
environment:
ZOO_PORT: 12181
kafka1:
environment:
KAFKA_ZOOKEEPER_CONNECT: "zoo1:12181"
Q: Can I change the Kafka ports?
A: yes. Say you want to change kafka1 port to 12345 (only relevant lines are shown). Note only LISTENER_DOCKER_EXTERNAL changes:
kafka1:
image: confluentinc/cp-kafka:7.0.1
hostname: kafka1
ports:
- "12345:12345"
environment:
KAFKA_ADVERTISED_LISTENERS: LISTENER_DOCKER_INTERNAL://kafka1:19092,LISTENER_DOCKER_EXTERNAL://${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:7.0.1
...
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:7.0.1
...
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