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The Fogbow toolkit

Author: Jason Baldridge (jasonbaldridge@gmail.com)
	Matt Lease (matt.lease@gmail.com)
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Introduction
============

This package provides example code for instruction for Hadoop. It
provides a build structure that ensures that all the packages
necessary for building basic Hadoop applications are available for
compilation, and further, that they are available for running
applications using a pre-configured classpath or bottleds-up assembly
jar that contains Fogbow and all its dependencies. 

The toolkit is called Fogbow because of the prevalent use of
meteorological terms in cloud computing packages. (The word "fogbow"
itself means a rainbow formed from fog rather than clouds.)

There are just two classes in Fogbow.

 * fogbow.example.WordCount - word count in Java (from the
   standard Hadoop distribution)

 * fogbow.scala.WordCount - word count in Scala (adapted from the
   Java)

This file contains the configuration and build instructions. 

Requirements
============

* Version 1.6 of the Java 2 SDK (http://java.sun.com)
* Version 0.20.2 of Hadoop: http://hadoop.apache.org/common/releases.html


Configuring your environment variables
======================================

The easiest thing to do is to set the environment variables JAVA_HOME
and FOGBOW_DIR to the relevant locations on your system. Set JAVA_HOME
to match the top level directory containing the Java installation you
want to use.

For example, on Windows:

C:\> set JAVA_HOME=C:\Program Files\jdk1.5.0_04

or on Unix:

% setenv JAVA_HOME /usr/local/java
  (csh)
> export JAVA_HOME=/usr/java
  (ksh, bash)

On Windows, to get these settings to persist, it's actually easiest to
set your environment variables through the System Properties from the
Control Panel. For example, under WinXP, go to Control Panel, click on
System Properties, choose the Advanced tab, click on Environment
Variables, and add your settings in the User variables area.

Next, likewise set FOGBOW_DIR to be the top level directory where you
unzipped the Fogbow download. In Unix, type 'pwd' in the directory
where this file is and use the path given to you by the shell as
FOGBOW_DIR.  You can set this in the same manner as for JAVA_HOME
above.

Next, add the directory FOGBOW_DIR/bin to your path. For example, you
can set the path in your .bashrc file as follows:

export PATH=$PATH:$FOGBOW_DIR/bin

Once you have taken care of these three things, you should be able to
build and use the Fogbow Library.

Note: Spaces are allowed in JAVA_HOME but not in FOGBOW_DIR.  To set
an environment variable with spaces in it, you need to put quotes around
the value when on Unix, but you must *NOT* do this when under Windows.

It is assumed that you have Hadoop 0.20.2 installed and in your path,
and that you have set HADOOP_HOME to be the location of your Hadoop
0.20.2 installation.


Building the system from source
===============================

Fogbow uses SBT (Simple Build Tool) with a standard directory
structure.  To build Fogbow, type (in the $FOGBOW_DIR directory):

$ fogbow build update compile

This will compile the source files and put them in
./target/classes. If this is your first time running it, you will see
messages about Scala being dowloaded -- this is fine and
expected. Once that is over, the Fogbow code will be compiled.

To try out other build targets, do:

$ fogbow build

This will drop you into the SBT interface. To see the actions that are
possible, hit the TAB key. (In general, you can do auto-completion on
any command prefix in SBT, hurrah!)

Documentation for SBT is here:

https://github.com/harrah/xsbt/wiki

Note: if you have SBT 0.10.1 already installed on your system, you can
also just call it directly with "sbt" in FOGBOW_DIR.


Trying it out
=============

Assuming you have completed all of the above steps, including running
the "compile" action in SBT, you should now be able to try out the
word count example on a single machine in non-distributed mode. As an
example, let's do word count on the Adventures of Sherlock Holmes.

Obtain the text:

$ wget http://www.gutenberg.org/cache/epub/1661/pg1661.txt

To do Java word count, run:

$ fogbow run fogbow.example.WordCount pg1661.txt wc_out_holmes_java

To do Scala word count, run:

$ fogbow run fogbow.example.WordCountScala pg1661.txt wc_out_holmes_scala


Using the Fogbow assembly jar and calling it with Hadoop
========================================================

Using the 'fogbow' shell script will work for debugging your
applications on a single machine in non-distributed mode (and without
using HDFS). To deploy your application on HDFS, you need a jar file
that you can call with the 'hadoop' exectuble.  For this, Fogbow
allows you to build an assembly jar that packages all the dependencies
of Fogbow in a single jar file.

To build the assembly jar, do the following:

$ fogbow build assembly

This will create fogbow-assembly.jar in the $FOGBOW_DIR/target
directory.

As before, you can try it out on a single machine in non-distributed
mode on Sherlock Holmes.

To do Java word count, run:

$ hadoop jar $FOGBOW_DIR/target/fogbow-assembly.jar fogbow.example.WordCount pg1661.txt wc_out_holmes_java_assembly

To do Scala word count, run:

$ hadoop jar $FOGBOW_DIR/target/fogbow-assembly.jar fogbow.example.WordCountScala pg1661.txt wc_out_holmes_scala_assembly

Note: If you have set up HDFS and have put pg1661.txt onto it (e.g.,
using "hadoop fs -put pg1661.txt pg1661.txt"), then this *will* run in
distributed mode.


Try out Cloud9
==============

Fogbow includes Cloud9, a Hadoop package created by Jimmy Lin for
teaching MapReduce at the University of Maryland. Try out the Cloud9
word count as follows.

Get the Cloud9 file that has the Bible and Shakespeare bundled
together:

$ wget --no-check-certificate https://github.com/lintool/Cloud9/raw/603977334b5e25ecf23a182a77fda136fe1df5ff/data/bible+shakes.nopunc.gz

Unzip the file:

$ gunzip bible+shakes.nopunc.gz

Run Cloud9 word count:

$ fogbow run edu.umd.cloud9.example.simple.DemoWordCount bible+shakes.nopunc wc 1

This says to count the words in the file bible+shakes.nopunc,
outputting the results to the directory "wc", and using one reducer.

Check that you obtained the desired output:

$ grep othello wc/part-r-00000
othello	339
othello's	11



Now what?
=============

The purpose of this package is to allow people to easily build a jar
of their own without needing anything other than the command line, a
Hadoop installation, and Java. You should be able to adapt the SBT
build to your own project and start creating your own packages based
on these fairly straightforwardly. You'll want to:

 * Change $FOGBOW_DIR/build.sbt properties and configurations to be
   appropriate for your project. If you need to specify new managed
   dependencies, you can do so easily in that file (see SBT
   documentation for details). If you prefer to add dependencies
   manually, just add them to $FOGBOW_DIR/lib and they'll get picked
   up without any fuss.

 * Change $FOGBOW_DIR/bin to be an executable of your choice, named
   for your project, and adapt as necessary (including changing
   $FOGBOW to your project name, etc).

Good luck!


Questions or suggestions?
=========================

Email Jason Baldridge: jasonbaldrige@gmail.com

Or, create an issue on Bitbucket: 

    https://bitbucket.org/jasonbaldridge/fogbow/issues

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