Skip to content

Distributed Apache Cassandra in Raspberry PI cluster with Docker Swarm

Notifications You must be signed in to change notification settings

LSC-RPi-Cluster/cassandra-armhf

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Distributed Apache Cassandra in Raspberry PI cluster

This repository describes the use of custom Docker images for running Apache Cassandra in a cluster of Raspberry Pi's. The cluster management tool used is Docker Swarm.

  • Cassandra version: 3.11
  • Architecture: armv7l
  • The custom Dockerfile in this repository is based on the official Cassandra Dockerfile on the Docker Hub

Deploy process

1. Network

In a swarm manager node, execute the command line bellow to create a new overlay network named "cassandra-net":

docker network create -d overlay --attachable cassandra-net

2. Swarm Nodes Labels

Set the type label in nodes to define groups for service scale command:

docker node update --label-add type=(slave or master) node-id

To list with one command all node labels in swarm cluster, you can run:

docker node ls -q | xargs docker node inspect -f '[{{ .Description.Hostname }}]: {{ .Spec.Labels.type }}'

3. Storage

Create the directories that will be mapped as volumes to the Cassandra services data storage.

The default storage path in the host to the Cassandra stack is: /mnt/storage/cassandra. The Docker volume must be map the /var/lib/cassandra directory of the container to the host directory, as follows:

    volumes:
      - /storage/dir/host:/var/lib/cassandra 

4. Deploy Cassandra stack

To deploy the stack defined in the compose file, execute:

docker stack deploy -c docker-compose.yml cassandra

Two Docker services will be launched, the first being the Cassandra node responsible for the seeds (service seed) and a non-seed node (service node).

Make sure you have clean storage before perform deploy.

5. Scale Cassandra service

To scale the number of Cassandra services, execute the command below, passing the number of replicas (example: 3):

docker service scale cassandra_node=3

As the stack is configured to run only one instance of the Cassandra service (task) per node, it is only possible to scale to a number of replicas equal to the number of available nodes in the cluster.

Configurations:

Exposed Ports

Port Usage
7000 Unencrypted Intra-node gossip communication
7001 TLS Intra-node gossip communication
9042 CQL native service
7199 JMX server
9160 Thrift service

Compose environments

Some configurations are adjustable and provided as environment variables. Default value to some variables are defined in docker-compose.yaml. Those variables are:

Property Name Usage
CASSANDRA_CLUSTER_NAME The universal name across all nodes in the cluster
CASSANDRA_NUM_TOKENS Number of tokens for this node.
MAX_HEAP_SIZE Heap size settings (Xms and Xmx)
HEAP_NEW_SIZE Size for young generation (Xmn).
SEEDS_SERVICE Name of the seeds service, used to find the ip of the seed node in the swarm network.
TASK_NAME Name of the task representing each service instance, used to synchronize the boot order
WAIT_TIME Wait time that each task must be wait before starting the cluster join process

Management tips

Cassandra cluster status

To view the cluster status, among other Cassandra cluster management tasks, use the nodetool utility.

docker exec -t container-id nodetool status

CQLSH connection

To perform queries in the Cassandra database you can use cqlsh directly, passing the service port and ip of the node that exposes the service:

cqlsh 15.0.0.1 -p9042 --cqlversion=3.4.4

Service logs

To view Cassandra service runtime log incrementally (like tail -f):

docker service logs -f (service-name or service-id)
  • is the same for task-name or task-id

References

About

Distributed Apache Cassandra in Raspberry PI cluster with Docker Swarm

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages