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RabbitMQ JRuby based worker framework on top of hot_bunnies

branch: master

Merge pull request #2 from gxbe/master

added support for username/password auth
latest commit 81525999c5
Dotan J. Nahum authored March 30, 2014
Octocat-spinner-32 bin ii July 07, 2012
Octocat-spinner-32 examples ii July 07, 2012
Octocat-spinner-32 lib no need for .to_i March 29, 2014
Octocat-spinner-32 spec adding worker specs September 16, 2012
Octocat-spinner-32 .gitignore ii July 07, 2012
Octocat-spinner-32 Gemfile ii July 07, 2012
Octocat-spinner-32 Guardfile adding worker specs September 16, 2012
Octocat-spinner-32 LICENSE ii July 07, 2012
Octocat-spinner-32 README.md description wording September 25, 2012
Octocat-spinner-32 Rakefile ii July 07, 2012
Octocat-spinner-32 fb-cap.png Fixing some sad paths. September 15, 2012
Octocat-spinner-32 frenzy_bunnies.gemspec different version of hotbunnies March 29, 2014
README.md

FrenzyBunnies

A lightweight background workers library based on JRuby and the very efficient hot_bunnies RabbitMQ driver for very fast and efficient processing.

Unlike other background job processing libraries, a Frenzy Bunnies worker is offering its work to a native JVM-based thread pool, where threads are allocated and cached.

This firstly means that the processing model isn't process-per-worker (saving memory) and it also isn't fixed-thread-per-worker based allowing workers to be pooled(saving memory even further).

RabbitMQ is a really awesome queue solution for background jobs as well as more real-time messaging processing. Within its strengths are its performance, portability - almost every worthy server-side language and platform has a RabbitMQ driver and you're not limited to process on a single platform, and high-availability out of the box (as opposed to Redis, although Sentinel is quite a progress - hurray!).

Here are great background slides given by Paolo Negri over Rails Underground 2009 about RabbitMQ.

Quick Start

Add this line to your application's Gemfile:

gem 'frenzy_bunnies'

And then execute:

$ bundle

Or install it yourself as:

$ gem install frenzy_bunnies

Then, you basically just need to define a worker in its own class, and then decide if you want to use the Frenzy Bunnies runner frenzy_bunnies to run it, or do it programmatically via the FrenzyBunnies::Context API.

class FeedWorker
  include FrenzyBunnies::Worker
  from_queue 'new.feeds', :prefetch => 20, :threads => 13, :durable => true

  def work(msg)
    puts msg
    ack!
  end
end

You indicate that a class is a worker by include FrenzyBunnies::Worker. Set up a queue with from_queue and implement a work(msg) method.

You should indicate successful processing with ack!, otherwise it will be rejected and lost (per RabbitMQ semantics, in future versions, they'll add a feature where rejected messages goes to an error queue).

Running with CLI

Running a worker with the command-line executable is easy

$ frenzy_bunnies start_workers worker_file.rb

Where worker_file.rb is a file containing all of your worker(s) definition. FrenzyBunnies will require the file and immediately start handing work to your workers.

Running Programatically

Assuming that workers are already required in your code, their classes should be visible by the moment you write this code:

f = FrenzyBunnies::Context.new
f.run FeedWorker, FeedDownloader

In the listing above, f.run accepts your worker classes, and will run your workers immediately.

Web Dashboard

When FrenzyBunnies run, it will automatically create a web dashboard for you, on localhost:11333 by default.

Currently, the dashboard displays your job statistics (passed vs. failed), JVM health (heap usage) and threads overview.


Changing the bound address is easy to do through the many options you can pass to the running Context:

f = FrenzyBunnies::Context.new :web_host=>'0.0.0.0', :web_port=>11222

context definitions

In Detail

Worker Configuration

In your worker class, say from_queue 'queue_name' and pass any of these options:

:prefetch  # default 10. number of messages to prefetch each time
:durable   # default false. durability of the queue
:timeout_job_after # default 5. reject the message if not processed for number of seconds
:threads  # default none. number of threads in the threadpool. leave empty to let the threadpool manage it.

Example:

class FeedWorker
  include FrenzyBunnies::Worker
  from_queue 'new.feeds', :prefetch => 20, :threads => 13, :durable => true

...  

General Configuration

Global / running configuration can be set through the running context FrenzyBunnies::Context, pass any of these as options (shown with defaults).

:host       # default 'localhost'
:exchange   # default 'frenzy_bunnies'
:heartbeat  # default 5
:web_host   # default 'localhost'
:web_port   # default 11333
:web_threadfilter # default /^pool-.*/
:env        # default ''

Example:

FrenzyBunnies::Context.new :exchange=> 'foo'

AMQP Queue Wiring Under the Hood

If you're interested with the mechanics, in order to mimic a background-job / work-queue semantics, the following is the AMQP wireup used within this library:

  • Durable per configuration
  • The exchange is created and named by default frenzy_bunnies
  • Each worker is bound to an AMQP queue named my_queue_environment with the environment postfix appended automatically.
  • The routing key on the exchange is of the same name and bound to the queue.

Contributing

Fork, implement, add tests, pull request, get my everlasting thanks and a respectable place here :).

Copyright

Copyright (c) 2012 Dotan Nahum @jondot. See MIT-LICENSE for further details.

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