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Emma is a project to create a platform for development of application for Spark and DockerSwarm clusters. The platform runs on an infra-structure composed by virtual machines and Ansible playbooks are used to create a storage layer, processing layer and JupyterHub services. The storage layer offers two flavors of storage, file-base by GlusterFS and Hadoop Distributed File System (HDFS), and object-based using Minio. The processing layer has a Apache Spark cluster and a Docker Swarm sharing the storage instances.


At the moment the deployment of clusters with emma was tested with two OSs environment, Linux and Windows.

Linux as host OS

For Linux it was tested using Ubuntu 14.04 and Ubuntu 16.04, however, it is recommended to use the latter. For Linux no special environment setup is required. Before deploying a cluster user needs to clone emma repository:

git clone

Windows as host OS

For Windows, emma was only tested on Windows 10 using the embedded Ubuntu 16.04 environment. It setup is straight forward and it simple follows the steps listed in the installation guide.

Once installed it recommended to verify if the version 16.04 is installed. For that the user simply needs to type bash in the search windows at the left bottom of Windows 10 Desktop-environment and press enter. Once the bash console is open the user should then type:

lsb_release -a

If not 16.04, then do the following:

#Powershell as administrator, and enter the command
lxrun /uninstall /full .

lxrun /install /y

#Verify again the version:
lsb_release -a

After the installation the Ubuntu environment is accessible through the bash command of Windows. To add Windows executables to your Ubuntu $PATH, add the following to your ~/.bashrc in the bash console:

vim ~/bashrc
export PATH=$PATH:/mnt/c/Windows/System32/

Note the C drive will be mounted with the files owned by root and file permissions set to 777. This means ssh keys will to open for Ansible. Hence, before you run ansible you need to call

For windows users need to change the line-ending setting for git, they should configure git to Checkout as-is, commit as-is:

git config --global core.autocrlf false

Before deploying a cluster user needs to clone emma repository:

git clone

The Windows Subsystem Linux will mount the C: drive as /mnt/c. By default the file permissions will be read/write/executable for all, this is bad because to use ssh-keys stricter permissions are required. To solve this create the /etc/wsl.conf file with the following content and restart the shell.


Setup environment

Independently of which OS the user is using the following steps need to be done after the repository is cloned.

cd emma

#create and edit

#Linux environments (also in the embedded Ubuntu environment in Windows).
#On each bash

# Key used by root, do not set passphrase when asked
ssh-keygen -f ${CLUSTER_NAME}.key
# Key used by ${CLUSTER_NAME} user
ssh-keygen -f files/${CLUSTER_NAME}.key

Every time the user opens a bash console on Windows or Linux the environment is set through the following commands:

cd <path_to_emma>/emma

cd <path_to_emma>/emma


With the environment set, the next step is to setup the infra-structure. The infra-structure, physical place where the platform runs, is composed by a set of virtual machines with the following characteristics:

  1. Ubuntu 16.04 OS
  2. Public network interface
  3. OS disk, 200Mb for software + enough room in /tmp
  4. Passwordless login as root with ${CLUSTER_NAME}.key private key.
  5. XFS Partition mounted at /data/local (used for swapfile, GlusterFS brick, Docker root)
  6. Python2 to run Ansible tasks

The infrastructure is a collection of machines which must be reachable by ssh. The machines must be prepared/constructed by either preparing cloud virtual machine or constructing using Vagrant boxes. Once the machines are prepared the servers are provisioned using Ansible, an automation tool for IT infra-structure. The roles defined for Ansible will create a platform with the following features:

Preceding the platform's installation, the user should click on each feature to understand the setup requirements for each of them. Once all the requirements have been fulfilled, the user should follow the platform's installation steps listed in


Ansible playbook to create a cluster with GlusterFS, Docker, Spark and JupyterHub services







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