This is a highly configurable Dockerized Apache Zookeeper image. There is a published version on DockerHub using the automated build process.

The container can be configured via environment variables:

The data directory, /var/lib/zookeeper, is exposed for mounting to your local host. This facilitates using external storage for data (/var/lib/zookeeper/data), snapshots and the transaction logs (/var/lib/zookeeper/logs). The configuration directory, /opt/zookeeper/conf, is also exposed for mounting such that you can use your own configuration file (and also take advantage of variable substitution).

If you are happy with the defaults, just run the container to get Zookeeper in standalone mode:

docker run --rm --name zk --publish 2181:2181 cgswong/zookeeper:latest

To run a cluster just set more ZK_SERVER_X environment variables (replace X with the respective Zookeeper ID) set to the respective IP/hostname:

docker run --rm --name zk1 \
  --publish 2181:2181 --publish 2888:2888 --publish 3888:3888 \
  --env ZK_ID=1 --env ZK_SERVER_1=172.17.8.101 --env ZK_SERVER_2=172.17.8.102 --env ZK_SERVER_3=172.17.8.103 \
  cgswong/zookeeper:latest
docker run --rm --name zk2 \
  --publish 2181:2181 --publish 2888:2888 --publish 3888:3888 \
  --env ZK_ID=2 --env ZK_SERVER_1=172.17.8.101 --env ZK_SERVER_2=172.17.8.102 --env ZK_SERVER_3=172.17.8.103 \
  cgswong/zookeeper:latest
docker run --rm --name zk3 \
  --publish 2181:2181 --publish 2888:2888 --publish 3888:3888 \
  --env ZK_ID=3 --env ZK_SERVER_1=172.17.8.101 --env ZK_SERVER_2=172.17.8.102 --env ZK_SERVER_3=172.17.8.103 \
  cgswong/zookeeper:latest

The above commands are run across 3 separate hosts. To form a cluster on a single host change the local port mappings to avoid collisions.

If you have any problems with or questions about this image, please contact me through a GitHub issue.

You are invited to contribute new features, fixes, or updates, large or small; I'm always thrilled to receive pull requests, and I'll do my best to process them as fast as I can.

Before you start to code, I recommend discussing your plans through a GitHub issue, especially for more ambitious contributions. This gives other contributors a chance to point you in the right direction, give you feedback on your design, and help you find out if someone else is working on the same thing.