Awesome

StormyCloud

Goal: Make it ridiculously easy to write simple distributed application in Ruby.

Installation

StormyCloud can be installed using RubyGems:

$ gem install stormy-cloud

Usage

Here's an example that will compute the sum of the squares of the first 1000 numbers:

require 'stormy-cloud'

StormyCloud.new("square_summation", "10.6.2.213") do |c|

  c.split { (1..1000).to_a }

  c.map do |t|
    sleep 2   # do some work
    t ** 2
  end

  c.reduce do |t, r|
    @sum ||= 0
    @sum += r
  end

  c.finally do
    puts @sum
  end

end

You must specify the three blocks, split, map and reduce. The finally block is optional, and will be called when the job is completed.

The split function must return an array of smaller sub-tasks which can be completed in parallel.

The map function must take one of these sub-tasks as input and return the result of the computation.

The reduce block is called once for each task and its result.

split, reduce and finally will be run on a central server, but map will be run on worker nodes.

The values returned by split, reduce and finally should be serializable to JSON.

Configuration

Some configuration variables can be set inside the block, as shown below:

StormyCloud.new("square_summation", "10.6.2.213") do |c|
  c.config :wait, 20
  c.config :port, 9861
  c.config :debug, true

  [...]
end

Currently, the only supported configuration variables are:

• wait: Amount of time to wait for a result from the node before returning a task to the node.
• port: When using the TCP transport, this is the TCP port used on the server.
• debug: When this is set to true, the entire task will be run on a single machine sequentially.

Emit API

By default the reduce function is passed a key-value pair (t, r) where t is the original task and r is the value returned the the map function when it is called with the task t. In some cases, we require that the map function emit an arbitrary number of key-value pairs to be reduced. For that purpose it is possible to call emit inside the map function any number of times to emit arbitrary key-value pairs to be reduced.

For example:

c.map do |task|
  emit "key1", "value1"
  emit "key2", "value2"
end

If your map function calls the emit function then the default key-value pair of (task, return_value) will not be emitted.

Running a Job

Running a job is as simple as copying a file onto the nodes and running a command.

First, make sure that the machine that will act as the central server and the ones which will be nodes all have Ruby installed along with the gem. Also make sure the script contains the correct IP address of the actual server.

Start the server by running:

$ ruby job.rb server

Then log in to each of the nodes and run the following commands:

$ ruby job.rb node

When the server is run, a HTTP server will be spawned on that machine on port 4567, which can be used to track the progress of the job. It will show the connected nodes, currently assigned tasks the estimated time to completion.