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 you are on Mac or Windows and want to connect from another container, use host.docker.internal:29092
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/
- Conduktor Platform: latest
- Zookeeper version: 3.6.3 (Confluent 7.3.2)
- Kafka version: 3.3.0 (Confluent 7.3.2)
- Kafka Schema Registry: Confluent 7.3.2
- Kafka Rest Proxy: Confluent 7.3.2
- Kafka Connect: Confluent 7.3.2
- ksqlDB Server: Confluent 7.3.2
- Zoonavigator: 1.1.1
For a UI tool to access your local Kafka cluster, use the free version of Conduktor
Kafka will be exposed on 127.0.0.1
or DOCKER_HOST_IP
if set in the environment.
(You probably don't need to set it if you're not using Docker-Toolbox)
Docker toolbox is deprecated and not maintained anymore for several years. We can't guarantee this stack will work with Docker Toolbox, but if you want to try anyway, please export your environment before starting the stack:
export DOCKER_HOST_IP=192.168.99.100
(your docker machine IP is usually 192.168.99.100
)
Confluent platform supports Apple M1 (ARM64) since version 7.2.0
! Basically, this stack will work out of the box.
If you want to downgrade confluent platform version, there are two ways:
- Add
platform: linux/amd64
. It will work as docker is able to emulate AMD64 instructions. - Previous versions have been built for ARM64 by the community. If you want to use it, just change the image in the corresponding yml. Since it is a not an official image, use it at your own risks.
To ease you journey with kafka just connect to localhost:8080
login: [email protected]
password: admin
- Conduktor-platform:
$DOCKER_HOST_IP:8080
- 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
- (experimental) JMX port at
$DOCKER_HOST_IP:9001
Run with:
docker compose -f full-stack.yml up
docker compose -f full-stack.yml down
** Note: if you find that you can not connect to localhost:8080 please run docker compose -f full-stack.yml build
to rebuild the port mappings.
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,$DOCKER_HOST_IP:9094
Run with:
docker compose -f zk-multiple-kafka-multiple.yml up
docker compose -f zk-multiple-kafka-multiple.yml down
Q: Kafka's log is too verbose, how can I reduce it?
A: Add the following line to your docker compose environment variables: KAFKA_LOG4J_LOGGERS: "kafka.controller=INFO,kafka.producer.async.DefaultEventHandler=INFO,state.change.logger=INFO"
. Full logging control can be accessed here: https://github.com/confluentinc/cp-docker-images/blob/master/debian/kafka/include/etc/confluent/docker/log4j.properties.template
Q: How do I delete data to start fresh?
A: Your data is persisted from within the docker compose folder, so if you want for example to reset the data in the full-stack docker compose, do a docker compose -f full-stack.yml down
.
Q: Can I change the zookeeper ports?
A: yes. Say you want to change zoo1
port to 12181
(only relevant lines are shown):
zoo1:
ports:
- "12181:12181"
environment:
ZOO_PORT: 12181
kafka1:
environment:
KAFKA_ZOOKEEPER_CONNECT: "zoo1:12181"
Q: Can I change the Kafka ports?
A: yes. Say you want to change kafka1
port to 12345
(only relevant lines are shown). Note only LISTENER_DOCKER_EXTERNAL
changes:
kafka1:
image: confluentinc/cp-kafka:7.2.1
hostname: kafka1
ports:
- "12345:12345"
environment:
KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka1:19092,EXTERNAL://${DOCKER_HOST_IP:-127.0.0.1}:12345,DOCKER://host.docker.internal:29092
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:7.2.1
...
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:7.2.1
...
environment:
...
KAFKA_ADVERTISED_LISTENERS: INTERNAL://kafka2:19093,EXTERNAL://50.10.2.3:9093,DOCKER://host.docker.internal:29093
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