Resque::LonelyJob

A Resque plugin. Requires Resque >= 1.20.0.

Ensures that for a given queue, only one worker is working on a job at any given time.

This differs from resque-lock and resque-loner in that the same job may be queued multiple times but you're guaranteed that first job queued will run to completion before subsequent jobs are run.

However, it is possible that subsequent jobs are re-ordered depending upon worker behavior. Therefore it is recommended that the payload for jobs be stored in a separate redis list distinct from the Resque queue (see Example #3).

Installation

Add this line to your application's Gemfile:

gem 'resque-lonely_job'

And then execute:

$ bundle

Or install it yourself as:

$ gem install resque-lonely_job

Usage

Example #1 -- One job running per queue

require 'resque/plugins/lonely_job'

class StrictlySerialJob
  extend Resque::Plugins::LonelyJob

  @queue = :serial_work

  def self.perform
    # only one at a time in this block, no parallelism allowed for this
    # particular queue
  end
end

Example #2 -- One job running per user-defined attribute

Let's say you want the serial constraint to apply at a more granular level. Instead of applying at the queue level, you can overwrite the .redis_key method.

require 'resque/plugins/lonely_job'

class StrictlySerialJob
  extend Resque::Plugins::LonelyJob

  @queue = :serial_work

  # Returns a string that will be used as the redis key
  # NOTE: it is recommended to prefix your string with the 'lonely_job:' to
  # namespace your key!
  def self.redis_key(account_id, *args)
    "lonely_job:strictly_serial_job:#{account_id}"
  end

  # Overwrite reenqueue to lpush instead of default rpush.  This attempts to
  # preserve job ordering but job order is *NOT* guaranteed.
  def self.reenqueue(*args)
    Resque.redis.lpush("queue:#{Resque.queue_from_class(self)}", Resque.encode(class: self, args: args))
  end

  def self.perform(account_id, *args)
    # only one at a time in this block, no parallelism allowed for this
    # particular redis_key
  end
end

NOTE: Without careful consideration of your problem domain, worker starvation and/or unfairness is possible for jobs in this example. Imagine a scenario where you have three jobs in the queue with two resque workers:

+---------------------------------------------------+
| :serial_work                                      |
|---------------------------------------------------|
|             |             |             |         |
| redis_key:  | redis_key:  | redis_key:  | ...     |
|    A        |    A        |    B        |         |
|             |             |             |         |
| job 1       | job 2       | job 3       |         |
+---------------------------------------------------+
                                  ^
                                  |
  Possible starvation +-----------+
  for this job and
  subsequent ones

When the first worker grabs job 1, it'll acquire the mutex for processing redis_key A. The second worker tries to grab the next job off the queue but is unable to acquire the mutex for redis_key A so it places job 2 back at the head of the :serial_work queue. Until worker 1 completes job 1 and releases the mutex for redis_key A, no work will be done in this queue.

This issue may be avoided by employing dynamic queues, http://blog.kabisa.nl/2010/03/16/dynamic-queue-assignment-for-resque-jobs/, where the queue is a one to one mapping to the redis_key.

Example #3 -- One job running per user-defined attribute with job ordering preserved

TODO

Contributing

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Added some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request