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Monthly Downloads: 8,243
Programming language: Elixir
License: MIT License
Tags: Queue    
Latest version: v1.6.3

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README

Verk

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This README follows master, which may differ from the last version. Check here for the README related to the last version.

Verk is a job processing system backed by Redis. It uses the same job definition of Sidekiq/Resque.

The goal is to be able to isolate the execution of a queue of jobs as much as possible.

Every queue has its own supervision tree:

  • A pool of workers;
  • A QueueManager that interacts with Redis to get jobs and enqueue them back to be retried if necessary;
  • A WorkersManager that will interact with the QueueManager and the pool to execute jobs.

Verk will hold one connection to Redis per queue plus one dedicated to the ScheduleManager and a pool of connections for other use cases like deleting a job from retry set or enqueuing new jobs.

The ScheduleManager fetches jobs from the retry set to be enqueued back to the original queue when it's ready to be retried.

It also has one GenStage producer called Verk.EventProducer.

The image below is an overview of Verk's supervision tree running with two queues named queue_one and queue_two each with 5 workers.

Supervision Tree

Feature set:

  • Retry mechanism with exponential backoff
  • Dynamic addition/removal of queues
  • Reliable job processing using Redis Streams!
  • Error and event tracking

Installation

First, add Verk to your mix.exs dependencies:

def deps do
  [{:verk, "~> 1.0"}]
end

and run $ mix deps.get.

Add Verk.Supervisor to your supervision tree:

defmodule Example.App do
  use Application

  def start(_type, _args) do
    import Supervisor.Spec
    tree = [supervisor(Verk.Supervisor, [])]
    opts = [name: Simple.Sup, strategy: :one_for_one]
    Supervisor.start_link(tree, opts)
  end
end

Finally we need to configure how Verk will process jobs.

Configuration

Example configuration for Verk having 2 queues: default and priority

The queue default will have a maximum of 25 jobs being processed at a time and priority just 10.

config :verk, queues: [default: 25, priority: 10],
              max_retry_count: 10,
              max_dead_jobs: 100,
              poll_interval: 5000,
              start_job_log_level: :info,
              done_job_log_level: :info,
              fail_job_log_level: :info,
              node_id: "1",
              redis_url: "redis://127.0.0.1:6379"

Verk supports the convention {:system, "ENV_NAME", default} for reading environment configuration at runtime using Confex:

config :verk, queues: [default: 25, priority: 10],
              max_retry_count: 10,
              max_dead_jobs: 100,
              poll_interval: {:system, :integer, "VERK_POLL_INTERVAL", 5000},
              start_job_log_level: :info,
              done_job_log_level: :info,
              fail_job_log_level: :info,
              node_id: "1",
              redis_url: {:system, "VERK_REDIS_URL", "redis://127.0.0.1:6379"}

Now Verk is ready to start processing jobs! :tada:

Workers

A job is defined by a module and arguments:

defmodule ExampleWorker do
  def perform(arg1, arg2) do
    arg1 + arg2
  end
end

This job can be enqueued using Verk.enqueue/1:

Verk.enqueue(%Verk.Job{queue: :default, class: "ExampleWorker", args: [1,2], max_retry_count: 5})

This job can also be scheduled using Verk.schedule/2:

 perform_at = Timex.shift(Timex.now, seconds: 30)
 Verk.schedule(%Verk.Job{queue: :default, class: "ExampleWorker", args: [1,2]}, perform_at)

Retry at

A job can define the function retry_at/2 for custom retry time delay:

defmodule ExampleWorker do
  def perform(arg1, arg2) do
    arg1 + arg2
  end

  def retry_at(failed_at, retry_count) do
    failed_at + retry_count
  end
end

In this example, the first retry will be scheduled a second later, the second retry will be scheduled two seconds later, and so on.

If retry_at/2 is not defined the default exponential backoff is used.

Keys in arguments

By default, Verk will decode keys in arguments to binary strings. You can change this behavior for jobs enqueued by Verk with the following configuration:

config :verk, :args_keys, value

The following values are valid:

  • :strings (default) - decodes keys as binary strings
  • :atoms - keys are converted to atoms using String.to_atom/1
  • :atoms! - keys are converted to atoms using String.to_existing_atom/1

Queues

It's possible to dynamically add and remove queues from Verk.

Verk.add_queue(:new, 10) # Adds a queue named `new` with 10 workers
Verk.remove_queue(:new) # Terminate and delete the queue named `new`

Reliability

Verk's goal is to never have a job that exists only in memory. It uses Redis as the single source of truth to retry and track jobs that were being processed if some crash happened.

Verk will re-enqueue jobs if the application crashed while jobs were running. It will also retry jobs that failed keeping track of the errors that happened.

The jobs that will run on top of Verk should be idempotent as they may run more than once.

Error tracking

One can track when jobs start and finish or fail. This can be useful to build metrics around the jobs. The QueueStats handler does some kind of metrics using these events: https://github.com/edgurgel/verk/blob/master/lib/verk/queue_stats.ex

Verk has an Event Manager that notifies the following events:

  • Verk.Events.JobStarted
  • Verk.Events.JobFinished
  • Verk.Events.JobFailed
  • Verk.Events.QueueRunning
  • Verk.Events.QueuePausing
  • Verk.Events.QueuePaused

One can define an error tracking handler like this:

defmodule TrackingErrorHandler do
  use GenStage

  def start_link() do
    GenStage.start_link(__MODULE__, :ok)
  end

  def init(_) do
    filter = fn event -> event.__struct__ == Verk.Events.JobFailed end
    {:consumer, :state, subscribe_to: [{Verk.EventProducer, selector: filter}]}
  end

  def handle_events(events, _from, state) do
    Enum.each(events, &handle_event/1)
    {:noreply, [], state}
  end

  defp handle_event(%Verk.Events.JobFailed{job: job, failed_at: failed_at, stacktrace: trace}) do
    MyTrackingExceptionSystem.track(stacktrace: trace, name: job.class)
  end
end

Notice the selector to get just the type JobFailed. If no selector is set every event is sent.

Then adding the consumer to your supervision tree:

  defmodule Example.App do
    use Application

    def start(_type, _args) do
      import Supervisor.Spec
      tree = [supervisor(Verk.Supervisor, []),
              worker(TrackingErrorHandler, [])]
      opts = [name: Simple.Sup, strategy: :one_for_one]
      Supervisor.start_link(tree, opts)
    end
  end

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Sponsorship

Initial development sponsored by Carnival.io