README.rdoc in jruby-on-hadoop-0.0.3 vs README.rdoc in jruby-on-hadoop-0.0.4

@@ -1,36 +1,48 @@
 = JRuby on Hadoop
 
 JRuby on Hadoop is a thin wrapper for Hadoop Mapper / Reducer by JRuby.
+We recommend to use this with hadoop-rubydsl on the github / gemcutter.
 
+== Description
+
 == Install
 
 Required gems are all on GemCutter.
 
 1. Upgrade your rubygem to 1.3.5
 2. Install gems
  $ gem install jruby-on-hadoop
 
-== Description
+== Usage
 
 1. Run Hadoop cluster on your machines and set HADOOP_HOME env variable.
 2. put files into your hdfs. ex) test/inputs/file1
 3. Now you can run 'joh' like below:
  $ joh examples/wordcount.rb test/inputs test/outputs
 You can get Hadoop job results in your hdfs test/outputs/part-*
 
-Script example. (see also examples/wordcount.rb)
+== Example 
+see also examples/wordcount.rb
 
  def setup(conf)
    # setup jobconf
  end
 
- def map(script, key, value, output, reporter)
+ def map(key, value, output, reporter)
    # mapper process
+   # (wordcount example)
+   value.split.each do |word|
+     output.collect(word, 1)
+   end
  end
  
- def reduce(script, key, values, output, reporter)
+ def reduce(key, values, output, reporter)
    # reducer process
+   # (wordcount example)
+   sum = 0
+   values.each {|v| sum += v }
+   output.collect(key, sum)
  end
 
 == Build
 
 You can build hadoop-ruby.jar by "ant".