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Thursday, 13 January 2011
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Running Ruby Map/Reduce with Apache Hadoop

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Here I demonstrate, with repeatable steps, how to fire-up a Hadoop cluster on Amazon EC2, load data onto the HDFS (Hadoop Distributed File-System), write map-reduce scripts in Ruby and use them to run a map-reduce job on your Hadoop cluster. You will not need to ssh into the cluster, as all tasks are run from your local machine.

Overly simplified:

  • use Cloudera’s distribution for Apache Hadoop
  • build, configure and use Whirr scripts to setup the Hadoop cluster on Amazon EC2
  • connect from your laptop to the cluster using a SOCKS proxy
  • check Hadoop and HDFS health status
  • setup the local Hadoop client
  • upload data to HDFS
  • code map/reduce tasks using Ruby
  • run, check stats, and get results for your Ruby map/reduce tasks

Original title and link: Running Ruby Map/Reduce with Apache Hadoop (NoSQL databases © myNoSQL)

via: http://www.cloudera.com/blog/2011/01/map-reduce-with-ruby-using-apache-hadoop/