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Sidekiq worker wrapper that provides optional timeout and after failure (reentrancy)
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 Project Readme

Worker Glass [Unmaintained]

Note: This library is no longer in use in the Karafka ecosystem. It was developed for Karafka versions prior to 1.0. If you're using this library and want to take it over, please ping us.

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WorkerGlass provides optional timeout and after failure (reentrancy) for background processing worker engines (like Sidekiq, Resque, etc).

Reentrancy

If you don't know what is reentrancy, you can read about it here.

Setup

If you want to use timeout and/or reentrancy, please add appropriate modules into your worker.

WorkerGlass allows to configure following options:

Method Arguments Description
self.logger= Logger Set logger which will be used by Worker Glass (if not defined, null logger will be used)

Usage

WorkerGlass has few submodules that you can prepend to your workers to obtain given functionalities:

Module Description
WorkerGlass::Reentrancy Provides additional reentrancy layer if anything goes wrong
WorkerGlass::Timeout Allows to set a timeout after which a given worker task will fail

WorkerGlass::Timeout

If you want to provide timeouts for your workers, just prepend WorkerGlass::Timeout to your worker and set the timeout value:

class Worker2
  prepend WorkerGlass::Timeout

  self.timeout = 60 # 1 minute timeout

  def perform(first_param, second_param, third_param)
    SomeService.new.process(first_param, second_param, third_param)
  end
end

Worker2.perform_async(example1, example2, example3)

WorkerGlass::Reentrancy

If you want to provide reentrancy for your workers, just prepend WorkerGlass::Reentrancy to your worker and define after_failure method that will be executed upon failure:

class Worker3
  prepend WorkerGlass::Reentrancy

  def perform(first_param, second_param, third_param)
    SomeService.new.process(first_param, second_param, third_param)
  end

  def after_failure(first_param, second_param, third_param)
    SomeService.new.reset_state(first_param, second_param, third_param)
  end
end

Worker3.perform_async(example1, example2, example3)

References

Note on contributions

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