View Source Recursive Jobs
Recursive jobs, like recursive functions, call themselves after they have executed. Except unlike recursive functions, where recursion happens in a tight loop, a recursive job enqueues a new version of itself and may add a slight delay to alleviate pressure on the queue.
Recursive jobs are a great way to backfill large amounts of data where a database migration or a mix task may not be suitable. Here are a few reasons that a recursive job may be better suited for backfilling data:
- Data can't be backfilled with a database migration, it may require talking to an external service
- A task may fail partway through execution; resuming the task would mean starting over again, or tracking progress manually to resume where the failure occurred
- A task may be computationally intensive or put heavy pressure on the database
- A task may run for too long and would be interrupted by code releases or other node restarts
- A task may interface with an external service and require some rate limiting
- A job can be used directly for new records and to backfill existing records
Let's explore recursive jobs with a use case that builds on several of those reasons.
use-case-backfilling-timezone-data
Use Case: Backfilling Timezone Data
Consider a worker that queries an external service to determine what timezone a user resides in. The external service has a rate limit and the response time is unpredictable. We have a lot of users in our database missing timezone information, and we need to backfill.
Our application has an existing TimezoneWorker
that accepts a user's id
,
makes an external request and then updates the user's timezone. We can modify
the worker to handle backfilling by adding a new clause to perform/1
. The new
clause explicitly checks for a backfill
argument and will enqueue the next job
after it executes:
defmodule MyApp.Workers.TimezoneWorker do
use Oban.Worker
import Ecto.Query
alias MyApp.{Repo, User}
@backfill_delay 1
@impl true
def perform(%{args: %{"id" => id, "backfill" => true}}) do
with :ok <- perform(%{args: %{"id" => id}}) do
case fetch_next(id) do
next_id when is_integer(next_id) ->
%{id: next_id, backfill: true}
|> new(schedule_in: @backfill_delay)
|> Oban.insert()
nil ->
:ok
end
end
end
def perform(%{args: %{"id" => id}}) do
update_timezone(id)
end
defp fetch_next(current_id) do
User
|> where([u], is_nil(u.timezone))
|> where([u], u.id > ^current_id)
|> order_by(asc: :id)
|> limit(1)
|> select([u], u.id)
|> Repo.one()
end
defp update_timezone(_id), do: Enum.random([:ok, {:error, :reason}])
end
There is a lot happening in the worker module, so let's unpack it a little bit.
- There are two clauses for
perform/1
, the first only matches when a job is marked as"backfill" => true
, the second does the actual work of updating the timezone. - The backfill clause checks that the timezone update succeeds and then uses
fetch_next/1
to look for the id of the next user without a timezone. - When another user needing a backfill is available it enqueues a new backfill job with a one second delay.
With the new perform/1
clause in place and our code deployed we can kick off
the recursive backfill. Assuming the id
of the first user is 1
, you can
start the job from an iex
console:
iex> %{id: 1, backfill: true} |> MyApp.Workers.TimezoneWorker.new() |> Oban.insert()
Now the jobs will chug along at a steady rate of one per second until the backfill is complete (or something fails). If there are any errors the backfill will pause until the failing job completes: especially useful for jobs relying on flaky external services. Finally, when there aren't any more user's without a timezone, the backfill is complete and recursion will stop.
building-on-recursive-jobs
Building On Recursive Jobs
This was a relatively simple example, and hopefully it illustrates the power and
flexibility of recursive jobs. Recursive jobs are a general pattern and aren't
specific to Oban. In fact, aside from the use Oban.Worker
directive there
isn't anything specific to Oban in the recipe!