id | title | sidebar_label |
---|---|---|
deploy-docker |
Deploy a cluster on Docker |
Docker |
You can use two kinds of methods to deploy a Pulsar cluster on Docker.
The first uses Docker commands, while the second uses a docker-compose.yaml
file.
To deploy a Pulsar cluster on Docker, you need to complete the following steps:
- Pull a Pulsar Docker image.
- Create a network.
- Create and start the ZooKeeper, bookie, and broker containers.
To run Pulsar on Docker, you need to create a container for each Pulsar component: ZooKeeper, bookie, and the broker. You can pull the images of ZooKeeper and bookie separately on Docker Hub, and pull the Pulsar image for the broker. You can also pull only one Pulsar image and create three containers with this image. This tutorial takes the second option as an example.
You can pull a Pulsar image from Docker Hub with the following command. If you do not want to use some connectors, you can use apachepulsar/pulsar:latest
there.
docker pull apachepulsar/pulsar-all:latest
To deploy a Pulsar cluster on Docker, you need to create a network and connect the containers of ZooKeeper, bookie, and broker to this network.
Use the following command to create the network pulsar
:
docker network create pulsar
Create a ZooKeeper container and start the ZooKeeper service.
docker run -d -p 2181:2181 --net=pulsar -e metadataStoreUrl=zk:zookeeper:2181 -e cluster-name=cluster-a -e managedLedgerDefaultEnsembleSize=1 -e managedLedgerDefaultWriteQuorum=1 -e managedLedgerDefaultAckQuorum=1 -v $(pwd)/data/zookeeper:/pulsar/data/zookeeper --name zookeeper --hostname zookeeper apachepulsar/pulsar-all:latest bash -c "bin/apply-config-from-env.py conf/zookeeper.conf && bin/generate-zookeeper-config.sh conf/zookeeper.conf && exec bin/pulsar zookeeper"
After creating the ZooKeeper container successfully, you can use the following command to initialize the cluster metadata.
docker run --net=pulsar --name initialize-pulsar-cluster-metadata apachepulsar/pulsar-all:latest bash -c "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"
Create a bookie container and start the bookie service.
docker run -d -e clusterName=cluster-a -e zkServers=zookeeper:2181 --net=pulsar -e metadataServiceUri=metadata-store:zk:zookeeper:2181 -v $(pwd)/data/bookkeeper:/pulsar/data/bookkeeper --name bookie --hostname bookie apachepulsar/pulsar-all:latest bash -c "bin/apply-config-from-env.py conf/bookkeeper.conf && exec bin/pulsar bookie"
Create a broker container and start the broker service.
docker run -d -p 6650:6650 -p 8080:8080 --net=pulsar -e metadataStoreUrl=zk:zookeeper:2181 -e zookeeperServers=zookeeper:2181 -e clusterName=cluster-a -e managedLedgerDefaultEnsembleSize=1 -e managedLedgerDefaultWriteQuorum=1 -e managedLedgerDefaultAckQuorum=1 --name broker --hostname broker apachepulsar/pulsar-all:latest bash -c "bin/apply-config-from-env.py conf/broker.conf && exec bin/pulsar broker"
Use the following template to create a docker-compose.yaml
file to deploy a Pulsar cluster quickly. And you can modify or add 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
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
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
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"
To create a Pulsar cluster by using the docker-compose.yaml
file, run the following command.
docker-compose up -d
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