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Version: 4.0.x

Run a Pulsar cluster locally with Docker Compose

To run Pulsar loccally with Docker Compose, follow the steps below.

Step 1: Configure the compose.yml template

To get up and run a Pulsar cluster quickly, you can use the following template to create a compose.yml file by modifying or adding the configurations in the environment section.

version: '3'
networks:
pulsar:
driver: bridge
services:
# Start zookeeper
zookeeper:
image: apachepulsar/pulsar:latest
container_name: zookeeper
restart: on-failure
networks:
- pulsar
volumes:
- ./data/zookeeper:/pulsar/data/zookeeper
environment:
- metadataStoreUrl=zk:zookeeper:2181
- PULSAR_MEM=-Xms256m -Xmx256m -XX:MaxDirectMemorySize=256m
command: >
bash -c "bin/apply-config-from-env.py conf/zookeeper.conf && \
bin/generate-zookeeper-config.sh conf/zookeeper.conf && \
exec bin/pulsar zookeeper"
healthcheck:
test: ["CMD", "bin/pulsar-zookeeper-ruok.sh"]
interval: 10s
timeout: 5s
retries: 30

# Init cluster metadata
pulsar-init:
container_name: pulsar-init
hostname: pulsar-init
image: apachepulsar/pulsar:latest
networks:
- pulsar
command: >
bin/pulsar initialize-cluster-metadata \
--cluster cluster-a \
--zookeeper zookeeper:2181 \
--configuration-store zookeeper:2181 \
--web-service-url http://broker:8080 \
--broker-service-url pulsar://broker:6650
depends_on:
zookeeper:
condition: service_healthy

# Start bookie
bookie:
image: apachepulsar/pulsar:latest
container_name: bookie
restart: on-failure
networks:
- pulsar
environment:
- clusterName=cluster-a
- zkServers=zookeeper:2181
- metadataServiceUri=metadata-store:zk:zookeeper:2181
# otherwise every time we run docker compose uo or down we fail to start due to Cookie
# See: https://github.com/apache/bookkeeper/blob/405e72acf42bb1104296447ea8840d805094c787/bookkeeper-server/src/main/java/org/apache/bookkeeper/bookie/Cookie.java#L57-68
- advertisedAddress=bookie
- BOOKIE_MEM=-Xms512m -Xmx512m -XX:MaxDirectMemorySize=256m
depends_on:
zookeeper:
condition: service_healthy
pulsar-init:
condition: service_completed_successfully
# Map the local directory to the container to avoid bookie startup failure due to insufficient container disks.
volumes:
- ./data/bookkeeper:/pulsar/data/bookkeeper
command: bash -c "bin/apply-config-from-env.py conf/bookkeeper.conf && exec bin/pulsar bookie"

# Start broker
broker:
image: apachepulsar/pulsar:latest
container_name: broker
hostname: broker
restart: on-failure
networks:
- pulsar
environment:
- metadataStoreUrl=zk:zookeeper:2181
- zookeeperServers=zookeeper:2181
- clusterName=cluster-a
- managedLedgerDefaultEnsembleSize=1
- managedLedgerDefaultWriteQuorum=1
- managedLedgerDefaultAckQuorum=1
- advertisedAddress=broker
- advertisedListeners=external:pulsar://127.0.0.1:6650
- PULSAR_MEM=-Xms512m -Xmx512m -XX:MaxDirectMemorySize=256m
depends_on:
zookeeper:
condition: service_healthy
bookie:
condition: service_started
ports:
- "6650:6650"
- "8080:8080"
command: bash -c "bin/apply-config-from-env.py conf/broker.conf && exec bin/pulsar broker"

Step 2: Create a Pulsar cluster

As preparation, create data directories and change the data directory ownership to uid(10000) which is the default user id used in the Pulsar Docker container.

sudo mkdir -p ./data/zookeeper ./data/bookkeeper
# this step might not be necessary on other than Linux platforms
sudo chown -R 10000 data

To create a Pulsar cluster by using the compose.yml file, run the following command.

docker compose up -d

Step 3: Destroy the Pulsar cluster

If you want to destroy the Pulsar cluster with all the containers, run the following command. It will also delete the network that the containers are connected to.

docker compose down