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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 theQueueManager
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.
Feature set:
- Retry mechanism with exponential backoff
- Dynamic addition/removal of queues
- Reliable job processing using Redis Streams!
- Error and event tracking
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.
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! 🎉
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)
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.
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 usingString.to_atom/1
:atoms!
- keys are converted to atoms usingString.to_existing_atom/1
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`
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.
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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Initial development sponsored by Carnival.io