clojure-hadoop
An library to assist in writing Hadoop MapReduce jobs in Clojure.
by Stuart Sierra
https://stuartsierra.com/
For more information
on Clojure, https://clojure.org/
on Hadoop, https://hadoop.apache.org/
Copyright (c) Stuart Sierra, 2009. All rights reserved.  The use and
distribution terms for this software are covered by the Eclipse Public
License 1.0 (https://opensource.org/licenses/eclipse-1.0.php) which can
be found in the file epl-v10.html at the root of this distribution.
By using this software in any fashion, you are agreeing to be bound by
the terms of this license.  You must not remove this notice, or any
other, from this software.
DEPENDENCIES
This library requires Java 6.
In order to compile and use this library, you will need the following
JAR files in your classpath:
 1. clojure.jar
 2. hadoop-0.18.3-core.jar
 3. Dependent JARs included with Hadoop (such as commons-logging)
This code was developed with Hadoop MapReduce 0.18.3, although it
should work with any later version.
You can download the Hadoop distribution by visiting this web page:
https://www.apache.org/dyn/closer.cgi/hadoop/core/hadoop-0.18.3/
and selecting a mirror close to you.
COMPILING (optional for layers 1-3, required for layer 4)
1. Create a "lib" directory (in the same directory as this README) and
copy the JARs listed above into it.
2. Run "ant"
USING THE LIBRARY
This library provides different layers of abstraction away from the
raw Hadoop API.
Layer 1: clojure-hadoop.imports
    Provides convenience functions for importing the many classes and
    interfaces in the Hadoop API.
Layer 2: clojure-hadoop.gen
    Provides gen-class macros to generate the multiple classes needed
    for a MapReduce job.  See the file "examples/wordcount1.clj" for a
    demonstration of these macros.
Layer 3: clojure-hadoop.wrap
    clojure-hadoop.wrap: provides wrapper functions that automatically
    convert between Hadoop Text objects and Clojure data structures.
    See the file "examples/wordcount2.clj" for a demonstration of
    these wrappers.
Layer 4: clojure-hadoop.job
    Provides a complete implementation of a Hadoop MapReduce job that
    can be dynamically configured to use any Clojure functions in the
    map and reduce phases.  See the file "examples/wordcount3.clj" for
    a demonstration of this usage.