This repository defines multiple ansible roles to help deploying different modes of a Spark cluster and Data Science Platform based on Anaconda and Jupyter Notebook stack

Requirements

You will need a driver machine with ansible installed and a clone of the current repository:

• If you are running on cloud (public/private network)
  • Install ansible on the edge node (with public ip)
• if you are running on private cloud (public network access to all nodes)
  • Install ansible on your laptop and drive the deployment from it

Installing Ansible on RHEL

curl -O https://dl.fedoraproject.org/pub/epel/epel-release-latest-7.noarch.rpm
sudo rpm -i epel-release-latest-7.noarch.rpm
sudo yum update -y
sudo yum install -y  ansible

Installing Ansible on Mac

• Install Annaconda
• Use pip install ansible

pip install --upgrade ansible

Updating Ansible configuration

In order to have variable overriding from host inventory, please add the following configuration into your ~/.ansible.cfg file

[defaults]
host_key_checking = False
hash_behaviour = merge

Supported/Tested Platform

• RHEL 7.x
• Ansible 2.6.3

Defining your cluster deployment metadata (host inventory)

Ansible uses 'host inventory' files to define the cluster configuration, nodes, and groups of nodes that serves a given purpose (e.g. master node).

Below is a host inventory sample definition:

[all:vars]
ansible_connection=ssh
#ansible_user=root
#ansible_ssh_private_key_file=~/.ssh/ibm_rsa
gather_facts=True
gathering=smart
host_key_checking=False
install_java=True
install_temp_dir=/tmp/ansible-install
install_dir=/opt
python_version=2

[master]
lresende-elyra-node-1   ansible_host=IP   ansible_host_private=IP  ansible_host_id=1

[nodes]
lresende-elyra-node-2   ansible_host=IP   ansible_host_private=IP  ansible_host_id=2
lresende-elyra-node-3   ansible_host=IP   ansible_host_private=IP  ansible_host_id=3
lresende-elyra-node-4   ansible_host=IP   ansible_host_private=IP  ansible_host_id=4
lresende-elyra-node-5   ansible_host=IP   ansible_host_private=IP  ansible_host_id=5

Some specific configurations are:

• install_java=True : install/update java 8
• install_temp_dir=/tmp/ansible-install : temporary folder used for install files
• install_dir=/opt : where packages are installed (e.g. Spark)
• python_version=2 : python version to use, influence which version of Anaconda to download

Note: ansible_host_id is only used when deploying a "Spark Standalone" cluster. Note: Ambari is currently only supporting Python 2.x

Deploying Spark using Ambari and HDP distribution

In this scenario, a minimal blueprint is used to deploy the required components to run YARN and Spark.

Related ansible roles

• Common Deploys Java and common dependencies
• Ambari Deploys Ambari cluster with HDP Stack

Deployment playbook

The sample playbook below can be used to deploy an Spark using an HDP distribution

- name: ambari setup
  hosts: all
  remote_user: root
  roles:
    - role: common
    - role: ambari

Deploying

ansible-playbook --verbose <deployment playbook.yml> -i <hosts inventory>

Example:

ansible-playbook --verbose setup-ambari.yml -c paramiko -i hosts-fyre-ambari

Deploying Spark standalone

In this scenario, a Standalone Spark cluster will be deployed with a few optional components.

Related ansible roles

• Common Deploys Java and common dependencies
• HDFS Deploys HDFS filesystem using slave nodes as data nodes
• Spark Deploys Spark in Standalone mode using slave nodes as workers
• Spark-CLuster-Admin Utility scripts for managing Spark cluster
• ElasticSearch Deploy ElasticSearch nodes on all slave nodes
• Zookeeper Depoys Zookeeper on all nodes (required by Kafka)
• Kafka Deploy Kafka nodes on all slave nodes

Deployment playbook

- name: spark setup
  hosts: all
  remote_user: root
  roles:
    - role: common
    - role: hdfs
    - role: spark
    - role: spark-cluster-admin

Note: When deploying Kafka, the Zookeeper role is required

Deploying

ansible-playbook --verbose <deployment playbook.yml> -i <hosts inventory>

Example:

ansible-playbook --verbose setup-spark-standalone.yml -c paramiko -i hosts-fyre-spark

Deploying Data Science Platform components

In this scenario, an existing Spark cluster is updated with necessary components to build a data science platform based on Anaconda and Jupyter Notebook stack.

Related ansible roles

• Anaconda Deploys Anaconda Python distribution on all nodes
• Notebook Deploys Notebook Platform

Deployment playbook

- name: anaconda
  hosts: all
  vars:
    anaconda:
      update_path: true
  remote_user: root
  roles:
   - role: anaconda

- name: notebook platform dependencies
  hosts: all
  vars:
    notebook:
      use_anaconda: true
      deploy_kernelspecs_to_workers: false
  remote_user: root
  roles:
    - role: notebook

Playbook Configuration

• use_anaconda: Flag to identify if anaconda is available and should be used as python package manager
• deploy_kernelspecs_to_workers: optionally deploy kernelspecs for Python, R, and Scala to all nodes

Legal Disclaimers

• The Ambari role will install MySQL community edition which is available under GPL license.

• The Notebook role will install R which is available under GPL2 | GPL 3

By deploying these packages via the ansible utility scripts in this project you are accepting the license terms for these components.