Author: Jason Baldridge (firstname.lastname@example.org)
- Matt Lease (email@example.com)
-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.
+This is to be a package for helping teach Computational Linguistics
+using Scala. No aspirations in particular to be like NLTK, just
+something to provide some basic functionality and a build structure
-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
-This file contains the configuration and build instructions.
+It's called Scalabha because "bha" is a Proto-Indo-European root that
+is connected with language and speech.
The easiest thing to do is to set the environment variables JAVA_HOME
FOGBOW_DIR to the relevant locations on your system. Set JAVA_HOME
+and _DIR to the relevant locations on your system. Set JAVA_HOME
to match the top level directory containing the Java installation you
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
+Next, likewise set SCALABHA_DIR to be the top level directory where you
+unzipped the Scalabha 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
+_DIR. You can set this in the same manner as for JAVA_HOME
-Next, add the directory
FOGBOW_DIR/bin to your path. For example, you
+Next, add the directory _DIR/bin to your path. For example, you
can set the path in your .bashrc file as follows:
Once you have taken care of these three things, you should be able to
-build and use the
+build and use the Library.
-Note: Spaces are allowed in JAVA_HOME but not in
FOGBOW_DIR. To set
+Note: Spaces are allowed in JAVA_HOME but not in _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.
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):
+Scalabha uses SBT (Simple Build Tool) with a standard directory
+structure. To build Scalabha, type (in the $SCALABHA_DIR directory):
fogbow build update compile
+$ 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.
+expected. Once that is over, the code will be compiled.
To try out other build targets, do:
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
Note: if you have SBT 0.10.1 already installed on your system, you can
-also just call it directly with "sbt" in
+also just call it directly with "sbt" in _DIR.
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.
-$ 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:
-This will create fogbow-assembly.jar in the $FOGBOW_DIR/target
-As before, you can try it out on a single machine in non-distributed
-mode on Sherlock Holmes.
-To do Java word count, run:
-$ 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 $FOGBOW_DIR/target/fogbow-assembly.jar fogbow.example.WordCountScala pg1661.txt wc_out_holmes_scala_assembly
-Note: If you have set up HDFS and have put pg1661.txt onto it (e.g.,
-using "hadoop fs -put pg1661.txt pg1661.txt"), then this *will* run in
-Fogbow includes Cloud9, a Hadoop package created by Jimmy Lin for
-teaching MapReduce at the University of Maryland. Try out the Cloud9
-Get the Cloud9 file that has the Bible and Shakespeare bundled
-$ wget --no-check-certificate https://github.com/lintool/Cloud9/raw/603977334b5e25ecf23a182a77fda136fe1df5ff/data/bible+shakes.nopunc.gz
-$ gunzip bible+shakes.nopunc.gz
-$ 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
+the "compile" action in SBT, you should now be able to try out some
The purpose of this package is to allow people to easily build a jar
+e 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
+ * Change $_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
+ manually, just add them to $_DIR/lib and they'll get picked
- * Change $
FOGBOW_DIR/bin to be an executable of your choice, named
+ * Change $_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).
+ $ to your project name, etc).
Or, create an issue on Bitbucket: