Bare metal Hadoop provisioning with Ansible and Cobbler
When setting up a Hadoop cluster you don't want to setup every machine doing manual installation of all required software. The idea is to start automating as soon as possible. While there are lots of tools able to help you with that, I recently came across Cobbler and Ansible which make a good combo in helping you easily define the tasks at hand.
In this blog I would like to share the way we installed the operating system and configured the software to run a Hadoop cluster on bare metal machines.
What we've done here is nothing new and certainly no magic. It's just another possibility. Also there's nothing tool specific in there. For the demo setup of the Hadoop cluster we use Cloudera Manager, but it will work also with for example the Hortonworks Data Platform. The most important part of it is that we automate everything.
Since we don't want to install everything we need manually and the normal stack for building such a cluster consists of multiple layers like the operating system, basic configuration (firewall, ipsec, ipv6, ntpd, diskformatting etc.), the cluster install and some extra stuff (monitoring, extra packages) we need a way to have an easy configuration of the needs of each layer.
First tool we use is Cobbler which manages the operating system install iso's and we use it for handing out the IP addresses to the nodes of the 'cluster to be built'. We mainly use it as our Content Management System where we configure which operating system to install and which IP a machine gets given a specific MAC address.
So on our installhost the cobbler daemon is running and waiting for a machine with a specific MAC address to announce itself on boot (using the network boot option). Cobbler then responds with handing over a kickstart script to the machine to do the operating system install. This script contains all instructions about the mounting and formatting of the disks and makes sure the operating system is installed properly.
After that's finished our next tool Ansible is coming in to the picture. Ansible is used to tie the rest together. Here we define the different roles the machines have and for each role we can define which specific software needs to be installed. Defining this is done with an easy to read DSL. For example this is our role definition:
[cluster] node01 node02 [cobbler] cobbler [proxy] cobbler [ganglia-master] node01 [ganglia-nodes:children] cluster [cloudera-manager] node01
Between the angle brackets the role name is defined and below that the names of the nodes which need to be part of that role are mentioned.
And here is a file defining to copy a yum repo file form the installhost to all cluster machines and install the jdk and cloudera-manager-deamons packages:
--- - name: Configure CM4 Repo copy: src=cloudera-manager/files/etc/yum.repos.d/cm4.repo dest=/etc/yum.repos.d/ owner=root group=root - name: Install CM4 common stuff yum: name=$item state=installed with_items: - jdk - cloudera-manager-daemons
You can create several of this kind of files to specify all the tasks you want to be executed. By combining multiple of these files together you can define a total set of requirements like this:
- include: bootstrap.yml - include: repo.yml - include: monitoring.yml - include: cloudera-manager.yml
Last tool we use is Cloudera Manager which is installed by the ansible scripts and can be used to install the cluster specific tools like Impala, HBase etc.
- Remember it's no magic: Vendor specific hardware can screw things up (strange names for disk mounts for example)
- Currently Bios settings, different RAID settings are not handled (yet).
- There is a large amount of initial network traffic with large clusters (N-times downloading the same software packages from yum repositories) => Repo mirroring to the rescue
- The MAC address of all nodes must be known
- Do automate from the start
- It's easy
- Use our open source code to get a head start
Follow us for more of this
Deep Learning Blimp
October 16, 2018
Big Data Expo 2018: Deep Learning, the Engine of the AI Revolution
October 05, 2018
How Blockchain Technology Will Make Platforms Obsolete
September 27, 2018
Wasting money with data science
September 21, 2018
How to Find Blockchain Use Cases: Part I
September 17, 2018
Opening up some training material
September 05, 2018