The following presentation contains references on how to configure hadoop on a single pi, initially. In the later part of the presentation we'll be configuring hadoop in and out. And also will be experimenting with an application on HadoopPY

1. CLOUD INFRASTRUCTURE
SERVICES
Topic : Installing Hadoop on Raspberry Pi
Team Member:
Aniket Maithani
Rajat Goyal
Mentor : Mr. Manoj Kumar Baliyan

2. What is Raspberry Pi?
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The Raspberry Pi is a credit-card-sized
single-board computer developed in the UK
by the Raspberry Pi Foundation with the
intention of promoting the teaching of basic
computer science in schools.
The Raspberry Pi is manufactured in two board
configurations, Pi A and Pi B.
It was first released in 2012 and since then
massive development work have been done
over it.

3. Components of Raspberry Pi

For our current project, we have purchased
Raspberry Pi Model B. It's basic structure is
given here :

4. Raspberry Pi in India
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Some of the major hardware distributors that
sell Raspbery Pi in India are Element 14,
RCElectro etc.
Pi B model cost around 3000/- Rs.
The model does not contain any accessories,
in general unless is given under some offer by
the hardware distributor.

5. Accessories Required with Pi
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With Pi, you need the following accessories
 Micro USB Charger
 Ethernet Cable
 SD Card
 HDMI cable
 HDMI – VGA Converter
 RSA cable [optional]
In case you are planning to use more
attachment with Pi, you'll also be needing a
USB Power Hub.

7. Making SDHC card bootable
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Before you start configuring your Pi, you need
to make the SD Card Bootable.
This can be done easily.
You need to download the available distros for
Pi, from their official website :
http://www.raspberrypi.org/downloads
I downloaded the 'Raspbian Wheezy'

8. Making SDHC card bootable
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After downloading the .img file. I used
PowerISO software [Windows] to burn the
.img on the card and make it bootable.
If you are using Linux, you can use
UNetBootin or some other program, in case
your version of UNetBootin doesn't supports
.img file.

9. Let's get started....
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Once you have loaded the distro into the
card, all you need to do is plug in the card in
the memory card slot.
Connect the neccessary peripherals in the
USB slots.
Connect your output cable [RCA/HDMI
whatever is your preference].

10. This is what our setup looks like

11. On the first bootup
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You'll see the following screen on your first
bootup, please go through the options
carefully.

12. Configuration
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Since Pi does not have start/off switch on
board, it automatically gets started once you
plugged in the power source.
Now you'll see the first bootup screen.
When it is done, it will prompt you for login
The default username for Pi Board is pi and
password is raspberry.
Once it accepts your credentials, you'll see the
command prompt. Type startx and GUI session
will start.

13. Tada..
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This is what the GUI interface of Wheezy
looks like.

14. Connecting to Internet
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To connect your Pi to internet you can use
both wifi dongle or ethernet cable.
During this process I chose ethernet to
connect Pi to Internet.
DHCP setting, automatically detected by Pi.

15. Configuring Hadoop
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Before configuring Hadoop on a single node Pi
. We need to install webserver onto it.
This can be done by executing the following
commands on the terminal.
$: apt-get install phpmyadmin apache2 php5
php5-cli mysql-server

16. Installation Process
●
Here is a snapshot of the installation process.

17. Hadoop
Before installing Hadoop we need to install
OpenJDK on Pi.
●
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Then we need to create Hadoop system user.
Set up the ssh.
●
Install Hadoop from any of the given mirrors.
●
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Edit .bashrc file accordingly, specify path into it.
Then once Hadoop is installed, configure the
hadoop-env.sh file.
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18. Final Step
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You can find more details about configuration at our blog.
[experimentswithpi.blogspot.in]
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If all goes well, restart the pi and enter
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$ hadoop version in terminal, you'll see this
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Hadoop 1.2.1
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Subversion
https://svn.apache.org/repos/asf/hadoop/common/branches/branch-1.2 -r
1503152
●
Compiled by mattf on Mon Jul 22 15:23:09 PDT 2013
●
From source with checksum 6923c86528809c4e7e6f493b6b413a9a
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This command was run using /usr/local/hadoop/hadoop-1.2.1/hadoopcore-1.2.1.jar

19. Future Scope
I'll be adding more Pi, making a comhrensive
and robust cluster
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Load Balancer to be configured
●
Will be creating an application using HadooPY

20. For detailed information you can
visit our blog:
http://experimentswithpi.blogspot.in

21. References
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Wikipedia
Raspberry Pi Foundation Official Blog
IRC #RaspberryPi
DIY Guides ADAFRUIT
Apache Hadoop Guide

22. About This Presentation
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The following presentation is released under
CC License.
All the “products/softwares” described in the
presentation belongs to their respectful
owners.
The following presentation is a cumulation of
our research work, this can be reproduce
provided proper citation of our work is given.