πŸ₯ƒ Robust job processing in Elixir, backed by modern PostgreSQL

License: Apache-2.0

Language: Elixir


Robust job processing in Elixir, backed by modern PostgreSQL. Reliable,
observable and loaded with enterprise grade features.

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CI Status Apache 2 License

Table of Contents


Oban's primary goals are reliability, consistency and observability.

It is fundamentally different from other background job processing tools because it retains job data for historic metrics and inspection. You can leave your application running indefinitely without worrying about jobs being lost or orphaned due to crashes.

Advantages Over Other Tools

  • Fewer Dependencies β€” If you are running a web app there is a very good chance that you're running on top of a RDBMS. Running your job queue within PostgreSQL minimizes system dependencies and simplifies data backups.

  • Transactional Control β€” Enqueue a job along with other database changes, ensuring that everything is committed or rolled back atomically.

  • Database Backups β€” Jobs are stored inside of your primary database, which means they are backed up together with the data that they relate to.

Advanced Features

  • Isolated Queues β€” Jobs are stored in a single table but are executed in distinct queues. Each queue runs in isolation, ensuring that a job in a single slow queue can't back up other faster queues.

  • Queue Control β€” Queues can be started, stopped, paused, resumed and scaled independently at runtime across all running nodes (even in environments like Heroku, without distributed Erlang).

  • Resilient Queues β€” Failing queries won't crash the entire supervision tree, instead they trip a circuit breaker and will be retried again in the future.

  • Job Killing β€” Jobs can be killed in the middle of execution regardless of which node they are running on. This stops the job at once and flags it as discarded.

  • Triggered Execution β€” Database triggers ensure that jobs are dispatched as soon as they are inserted into the database.

  • Unique Jobs β€” Duplicate work can be avoided through unique job controls. Uniqueness can be enforced at the argument, queue and worker level for any period of time.

  • Scheduled Jobs β€” Jobs can be scheduled at any time in the future, down to the second.

  • Periodic (CRON) Jobs β€” Automatically enqueue jobs on a cron-like schedule. Duplicate jobs are never enqueued, no matter how many nodes you're running.

  • Job Priority β€” Prioritize jobs within a queue to run ahead of others.

  • Job Safety β€” When a process crashes or the BEAM is terminated executing jobs aren't lostβ€”they are quickly recovered by other running nodes or immediately when the node is restarted.

  • Historic Metrics β€” After a job is processed the row is not deleted. Instead, the job is retained in the database to provide metrics. This allows users to inspect historic jobs and to see aggregate data at the job, queue or argument level.

  • Node Metrics β€” Every queue records metrics to the database during runtime. These are used to monitor queue health across nodes and may be used for analytics.

  • Queue Draining β€” Queue shutdown is delayed so that slow jobs can finish executing before shutdown. When shutdown starts queues are paused and stop executing new jobs. Any jobs left running after the shutdown grace period may be rescued later.

  • Telemetry Integration β€” Job life-cycle events are emitted via Telemetry integration. This enables simple logging, error reporting and health checkups without plug-ins.


Oban has been developed and actively tested with Elixir 1.8+, Erlang/OTP 21.1+ and PostgreSQL 11.0+. Running Oban currently requires Elixir 1.8+, Erlang 21+, and PostgreSQL 9.6+.

Oban Web UI

A web-based user interface for monitoring and managing Oban is available as a private beta. Learn more about it and register for the beta at


Oban is published on Hex. Add it to your list of dependencies in mix.exs:

def deps do
    {:oban, "~> 1.2"}

Then run mix deps.get to install Oban and its dependencies, including Ecto, Jason and Postgrex.

After the packages are installed you must create a database migration to add the oban_jobs table to your database:

mix ecto.gen.migration add_oban_jobs_table

Open the generated migration in your editor and call the up and down functions on Oban.Migrations:

defmodule MyApp.Repo.Migrations.AddObanJobsTable do
  use Ecto.Migration

  def up do

  # We specify `version: 1` in `down`, ensuring that we'll roll all the way back down if
  # necessary, regardless of which version we've migrated `up` to.
  def down do
    Oban.Migrations.down(version: 1)

This will run all of Oban's versioned migrations for your database. Migrations between versions are idempotent and will never change after a release. As new versions are released you may need to run additional migrations.

Now, run the migration to create the table:

mix ecto.migrate

Next see Usage for how to integrate Oban into your application and start defining jobs!

Note About Releases

If you are using releases you may see Postgrex errors logged during your initial deploy (or any deploy requiring an Oban migration). The errors are only temporary! After the migration has completed each queue will start producing jobs normally.


Oban is a robust job processing library which uses PostgreSQL for storage and coordination.

Each Oban instance is a supervision tree and not an application. That means it won't be started automatically and must be included in your application's supervision tree. All of your configuration is passed into the supervisor, allowing you to configure Oban like the rest of your application:

# config/config.exs
config :my_app, Oban,
  repo: MyApp.Repo,
  prune: {:maxlen, 10_000},
  queues: [default: 10, events: 50, media: 20]

# lib/my_app/application.ex
defmodule MyApp.Application do
  @moduledoc false

  use Application

  alias MyApp.Repo
  alias MyAppWeb.Endpoint

  def start(_type, _args) do
    children = [
      {Oban, oban_config()}

    Supervisor.start_link(children, strategy: :one_for_one, name: MyApp.Supervisor)

  defp oban_config do
    opts = Application.get_env(:my_app, Oban)

    # Prevent running queues or scheduling jobs from an iex console.
    if Code.ensure_loaded?(IEx) and IEx.started?() do
      |> Keyword.put(:crontab, false)
      |> Keyword.put(:queues, false)

If you are running tests (which you should be) you'll want to disable pruning , enqueuing scheduled jobs and job dispatching altogether when testing:

# config/test.exs
config :my_app, Oban, crontab: false, queues: false, prune: :disabled

Configuring Queues

Queues are specified as a keyword list where the key is the name of the queue and the value is the maximum number of concurrent jobs. The following configuration would start four queues with concurrency ranging from 5 to 50:

queues: [default: 10, mailers: 20, events: 50, media: 5]

There isn't a limit to the number of queues or how many jobs may execute concurrently in each queue. Here are a few caveats and guidelines:

Caveats & Guidelines

  • Each queue will run as many jobs as possible concurrently, up to the configured limit. Make sure your system has enough resources (i.e. database connections) to handle the concurrent load.

  • Queue limits are local (per-node), not global (per-cluster). For example, running a queue with a local limit of one on three separate nodes is effectively a global limit of three. If you require a global limit you must restrict the number of nodes running a particular queue.

  • Only jobs in the configured queues will execute. Jobs in any other queue will stay in the database untouched.

  • Be careful how many concurrent jobs make expensive system calls (i.e. FFMpeg, ImageMagick). The BEAM ensures that the system stays responsive under load, but those guarantees don't apply when using ports or shelling out commands.

Defining Workers

Worker modules do the work of processing a job. At a minimum they must define a perform/2 function, which is called with an args map and the job struct.

Note that the args map passed to perform/2 will always have string keys, regardless of the key type when the job was enqueued. The args are stored as jsonb in PostgreSQL and the serialization process automatically stringifies all keys.

Define a worker to process jobs in the events queue:

defmodule MyApp.Business do
  use Oban.Worker, queue: :events

  @impl Oban.Worker
  def perform(%{"id" => id} = args, _job) do
    model = MyApp.Repo.get(MyApp.Business.Man, id)

    case args do
      %{"in_the" => "business"} ->

      %{"vote_for" => vote} ->
        IO.inspect([vote, model])

      _ ->


The use macro also accepts options to customize max attempts, priority, tags, and uniqueness:

defmodule MyApp.LazyBusiness do
  use Oban.Worker,
    queue: :events,
    priority: 3,
    max_attempts: 3,
    tags: ["business"],
    unique: [period: 30]

  @impl Oban.Worker
  def perform(_args, _job) do
    # do business slowly


The value returned from perform/2 is ignored, unless it an {:error, reason} tuple. With an error return or when perform has an uncaught exception or throw then the error is reported and the job is retried (provided there are attempts remaining).

See the Oban.Worker docs for more details on failure conditions and Oban.Telemetry for details on job reporting.

Enqueueing Jobs

Jobs are simply Ecto structs and are enqueued by inserting them into the database. For convenience and consistency all workers provide a new/2 function that converts an args map into a job changeset suitable for insertion:

%{id: 1, in_the: "business", of_doing: "business"}
|> Oban.insert()

The worker's defaults may be overridden by passing options:

%{id: 1, vote_for: "none of the above"}
|> :special, max_attempts: 5)
|> Oban.insert()

Jobs may be scheduled at a specific datetime in the future:

%{id: 1}
|> ~U[2020-12-25 19:00:56.0Z])
|> Oban.insert()

Jobs may also be scheduled down to the second any time in the future:

%{id: 1}
|> 5)
|> Oban.insert()

Unique jobs can be configured in the worker, or when the job is built:

%{email: ""}
|> [period: 300, fields: [:queue, :worker])
|> Oban.insert()

Job priority can be specified using an integer from 0 to 3, with 0 being the default and highest priority:

%{id: 1}
|> 2)
|> Oban.insert()

Any number of tags can be added to a job dynamically, at the time it is inserted:

id = 1

%{id: id}
|> ["mailer", "record-#{id}"])
|> Oban.insert()

Multiple jobs can be inserted in a single transaction:
|> Oban.insert(:b_job,{id: 1}))
|> Oban.insert(:m_job,{email: ""}))
|> Repo.transaction()

Occasionally you may need to insert a job for a worker that exists in another application. In that case you can use to build the changeset manually:

%{id: 1, user_id: 2}
|> :default, worker: OtherApp.Worker)
|> Oban.insert()

Oban.insert/2,4 is the preferred way of inserting jobs as it provides some of Oban's advanced features (i.e., unique jobs). However, you can use your application's Repo.insert/2 function if necessary.

See for a full list of job options.

Pruning Historic Jobs

Job stats and queue introspection are built on keeping job rows in the database after they have completed. This allows administrators to review completed jobs and build informative aggregates, at the expense of storage and an unbounded table size. To prevent the oban_jobs table from growing indefinitely, Oban provides active pruning of completed and discarded jobs.

By default, pruning retains a conservatively low 1,000 jobs. Pruning is configured with the :prune option. There are three distinct modes of pruning:

  • :disabled - No pruning happens at all, primarily useful for testing.

  • {:maxlen, count} - Pruning is based on the number of rows in the table, any rows beyond the configured count may be deleted. This is the default mode.

  • {:maxage, seconds} - Pruning is based on a row's age, any rows older than the configured number of seconds are deleted. The age unit is always specified in seconds, but values on the scale of days, weeks or months are perfectly acceptable.

Caveats & Guidelines

  • Pruning is best-effort and performed out-of-band. This means that all limits are soft; jobs beyond a specified length or age may not be pruned immediately after jobs complete. Prune timing is based on the configured prune_interval, which is one minute by default.

  • If you're using a row-limited database service, like Heroku's hobby plan with 10M rows, and you have pruning :disabled, you could hit that row limit quickly by filling up the oban_beats table. Instead of fully disabling pruning, consider setting a far-out limit: {:maxage, 60 * 60 * 24 * 365} (1 year). You will get the benefit of retaining completed and discarded jobs for a year without an unwieldy beats table.

  • Pruning is only applied to jobs that are completed or discarded (has reached the maximum number of retries or has been manually killed). It'll never delete a new job, a scheduled job or a job that failed and will be retried.

Unique Jobs

The unique jobs feature lets you specify constraints to prevent enqueuing duplicate jobs. Uniquness is based on a combination of args, queue, worker, state and insertion time. It is configured at the worker or job level using the following options:

  • :period β€” The number of seconds until a job is no longer considered duplicate. You should always specify a period.

  • :fields β€” The fields to compare when evaluating uniqueness. The available fields are :args, :queue and :worker, by default all three are used.

  • :states β€” The job states that are checked for duplicates. The available states are :available, :scheduled, :executing, :retryable and :completed. By default all states are checked, which prevents any duplicates, even if the previous job has been completed.

For example, configure a worker to be unique across all fields and states for 60 seconds:

use Oban.Worker, unique: [period: 60]

Configure the worker to be unique only by :worker and :queue:

use Oban.Worker, unique: [fields: [:queue, :worker], period: 60]

Or, configure a worker to be unique until it has executed:

use Oban.Worker, unique: [period: 300, states: [:available, :scheduled, :executing]]

Strong Guarantees

Unique jobs are guaranteed through transactional locks and database queries: they do not rely on unique constraints in the database. This makes uniquness entirely configurable by application code, without the need for database migrations.

Performance Note

If your application makes heavy use of unique jobs you may want to add an index on the args column of the oban_jobs table. The other columns considered for uniqueness are already covered by indexes.

Periodic Jobs

Oban allows jobs to be registered with a cron-like schedule and enqueued automatically. Periodic jobs are registered as a list of {cron, worker} or {cron, worker, options} tuples:

config :my_app, Oban, repo: MyApp.Repo, crontab: [
  {"* * * * *", MyApp.MinuteWorker},
  {"0 * * * *", MyApp.HourlyWorker, args: %{custom: "arg"}},
  {"0 0 * * *", MyApp.DailyWorker, max_attempts: 1},
  {"0 12 * * MON", MyApp.MondayWorker, queue: :scheduled, tags: ["mondays"]}

These jobs would be executed as follows:

  • MyApp.MinuteWorker β€” Executed once every minute
  • MyApp.HourlyWorker β€” Executed at the first minute of every hour with custom args
  • MyApp.DailyWorker β€” Executed at midnight every day with no retries
  • MyApp.MondayWorker β€” Executed at noon every Monday in the "scheduled" queue

The crontab format respects all standard rules and has one minute resolution. Jobs are considered unique for most of each minute, which prevents duplicate jobs with multiple nodes and across node restarts.

Cron Expressions

Standard Cron expressions are composed of rules specifying the minutes, hours, days, months and weekdays. Rules for each field are comprised of literal values, wildcards, step values or ranges:

  • * β€” Wildcard, matches any value (0, 1, 2, ...)
  • 0 β€” Literal, matches only itself (only 0)
  • */15 β€” Step, matches any value that is a multiple (0, 15, 30, 45)
  • 0-5 β€” Range, matches any value within the range (0, 1, 2, 3, 4, 5)

Each part may have multiple rules, where rules are separated by a comma. The allowed values for each field are as follows:

  • minute β€” 0-59
  • hour β€” 0-23
  • days β€” 1-31
  • month β€” 1-12 (or aliases, JAN, FEB, MAR, etc.)
  • weekdays β€” 0-6 (or aliases, SUN, MON, TUE, etc.)

Some specific examples that demonstrate the full range of expressions:

  • 0 * * * * β€” The first minute of every hour
  • */15 9-17 * * * β€” Every fifteen minutes during standard business hours
  • 0 0 * DEC * β€” Once a day at midnight during december
  • 0 7-9,4-6 13 * FRI β€” Once an hour during both rush hours on Friday the 13th

For more in depth information see the man documentation for cron and crontab in your system. Alternatively you can experiment with various expressions online at Crontab Guru.

Caveats & Guidelines

  • All schedules are evaluated as UTC unless a different timezone is configured. See Oban.start_link/1 for information about configuring a timezone.

  • Workers can be used for regular and scheduled jobs so long as they accept different arguments.

  • Duplicate jobs are prevented through transactional locks and unique constraints. Workers that are used for regular and scheduled jobs must not specify unique options less than 60s.

  • Long running jobs may execute simultaneously if the scheduling interval is shorter than it takes to execute the job. You can prevent overlap by passing custom unique opts in the crontab config:

    custom_args = %{scheduled: true}
    unique_opts = [
      period: 60 * 60 * 24,
      states: [:available, :scheduled, :executing]
    config :my_app, Oban, repo: MyApp.Repo, crontab: [
      {"* * * * *", MyApp.SlowWorker, args: custom_args, unique: unique_opts},

Prioritizing Jobs

Normally, all available jobs within a queue are executed in the order they were scheduled. You can override the normal behavior and prioritize or de-prioritize a job by assigning a numerical priority.

  • Priorities from 0-3 are allowed, where 0 is the highest priority and 3 is the lowest.

  • The default priority is 0, unless specified all jobs have an equally high priority.

  • All jobs with a higher priority will execute before any jobs with a lower priority. Within a particular priority jobs are executed in their scheduled order.


Oban provides some helpers to facilitate testing. The helpers handle the boilerplate of making assertions on which jobs are enqueued. To use the assert_enqueued/1 and refute_enqueued/1 helpers in your tests you must include them in your testing module and specify your app's Ecto repo:

use Oban.Testing, repo: MyApp.Repo

Now you can assert, refute or list jobs that have been enqueued within your tests:

assert_enqueued worker: MyWorker, args: %{id: 1}

# or

refute_enqueued queue: :special, args: %{id: 2}

# or

assert [%{args: %{"id" => 1}}] = all_enqueued worker: MyWorker

See the Oban.Testing module for more details.

Caveats & Guidelines

As noted in Usage, there are some guidelines for running tests:

  • Disable all job dispatching by setting queues: false or queues: nil in your test.exs config. Keyword configuration is deep merged, so setting queues: [] won't have any effect.

  • Disable pruning via prune: :disabled. Pruning isn't necessary in testing mode because jobs created within the sandbox are rolled back at the end of the test. Additionally, the periodic pruning queries will raise DBConnection.OwnershipError when the application boots.

  • Disable cron jobs via crontab: false. Periodic jobs aren't useful while testing and scheduling can lead to random ownership issues.

  • Be sure to use the Ecto Sandbox for testing. Oban makes use of database pubsub events to dispatch jobs, but pubsub events never fire within a transaction. Since sandbox tests run within a transaction no events will fire and jobs won't be dispatched.

    config :my_app, MyApp.Repo, pool: Ecto.Adapters.SQL.Sandbox

Integration Testing

During integration testing it may be necessary to run jobs because they do work essential for the test to complete, i.e. sending an email, processing media, etc. You can execute all available jobs in a particular queue by calling Oban.drain_queue/1 directly from your tests.

For example, to process all pending jobs in the "mailer" queue while testing some business logic:

defmodule MyApp.BusinessTest do
  use MyApp.DataCase, async: true

  alias MyApp.{Business, Worker}

  test "we stay in the business of doing business" do
    :ok = Business.schedule_a_meeting(%{email: ""})

    assert %{success: 1, failure: 0} == Oban.drain_queue(:mailer)

    # Now, make an assertion about the email delivery

See Oban.drain_queue/1 for additional details.

Error Handling

When a job returns an error value, raises an error or exits during execution the details are recorded within the errors array on the job. When the number of execution attempts is below the configured max_attempts limit, the job will automatically be retried in the future.

The retry delay has an exponential backoff, meaning the job's second attempt will be after 16s, third after 31s, fourth after 1m 36s, etc.

See the Oban.Worker documentation on "Customizing Backoff" for alternative backoff strategies.

Error Details

Execution errors are stored as a formatted exception along with metadata about when the failure ocurred and which attempt caused it. Each error is stored with the following keys:

  • at The utc timestamp when the error occurred at
  • attempt The attempt number when the error ocurred
  • error A formatted error message and stacktrace

See the Instrumentation docs for an example of integrating with external error reporting systems.

Limiting Retries

By default, jobs are retried up to 20 times. The number of retries is controlled by the max_attempts value, which can be set at the Worker or Job level. For example, to instruct a worker to discard jobs after three failures:

use Oban.Worker, queue: :limited, max_attempts: 3

Limiting Execution Time

By default, individual jobs may execute indefinitely. If this is undesirable you may define a timeout in milliseconds with the timeout/1 callback on your worker module.

For example, to limit a worker's execution time to 30 seconds:

def MyApp.Worker do
  use Oban.Worker

  @impl Oban.Worker
  def perform(_args, _job) do


  @impl Oban.Worker
  def timeout(_job), do: :timer.seconds(30)

The timeout/1 function accepts an Oban.Job struct, so you can customize the timeout using any job attributes.

Define the timeout value through job args:

def timeout(%_{args: %{"timeout" => timeout}}), do: timeout

Define the timeout based on the number of attempts:

def timeout(%_{attempt: attempt}), do: attempt * :timer.seconds(5)

Instrumentation and Logging

Oban provides integration with Telemetry, a dispatching library for metrics. It is easy to report Oban metrics to any backend by attaching to :oban events.

Here is an example of a sample unstructured log handler:

defmodule MyApp.ObanLogger do
  require Logger

  def handle_event([:oban, :started], measure, meta, _) do
    Logger.warn("[Oban] :started #{meta.worker} at #{measure.start_time}")

  def handle_event([:oban, event], measure, meta, _) when do
    Logger.warn("[Oban] #{event} #{meta.worker} ran in #{measure.duration}")

Attach the handler to success and failure events in application.ex:

events = [[:oban, :started], [:oban, :success], [:oban, :failure]]

:telemetry.attach_many("oban-logger", events, &MyApp.ObanLogger.handle_event/4, [])

The Oban.Telemetry module provides a robust structured logger that handles all of Oban's telemetry events. As in the example above, attach it within your application.ex module:

:ok = Oban.Telemetry.attach_default_logger()

For more details on the default structured logger and information on event metadata see docs for the Oban.Telemetry module.

Reporting Errors

Another great use of execution data is error reporting. Here is an example of integrating with Honeybadger to report job failures:

defmodule ErrorReporter do
  def handle_event([:oban, :failure], measure, meta, _) do
    context =
      |> Map.take([:id, :args, :queue, :worker])
      |> Map.merge(measure)

    Honeybadger.notify(meta.error, context, meta.stack)

  def handle_event([:oban, :trip_circuit], _measure, meta, _) do
    context = Map.take(meta, [:name])

    Honeybadger.notify(meta.error, context, meta.stack)

  [[:oban, :failure], [:oban, :trip_circuit]],


Oban supports namespacing through PostgreSQL schemas, also called "prefixes" in Ecto. With prefixes your jobs table can reside outside of your primary schema (usually public) and you can have multiple separate job tables.

To use a prefix you first have to specify it within your migration:

defmodule MyApp.Repo.Migrations.AddPrefixedObanJobsTable do
  use Ecto.Migration

  def up do
    Oban.Migrations.up(prefix: "private")

  def down do
    Oban.Migrations.down(prefix: "private")

The migration will create the "private" schema and all tables, functions and triggers within that schema. With the database migrated you'll then specify the prefix in your configuration:

config :my_app, Oban,
  prefix: "private",
  repo: MyApp.Repo,
  queues: [default: 10]

Now all jobs are inserted and executed using the private.oban_jobs table. Note that Oban.insert/2,4 will write jobs in the private.oban_jobs table, you'll need to specify a prefix manually if you insert jobs directly through a repo.

Supervisor Isolation

Not only is the oban_jobs table isolated within the schema, but all notification events are also isolated. That means that insert/update events will only dispatch new jobs for their prefix. You can run multiple Oban instances with different prefixes on the same system and have them entirely isolated, provided you give each supervisor a distinct id.

Here we configure our application to start three Oban supervisors using the "public", "special" and "private" prefixes, respectively:

def start(_type, _args) do
  children = [
    Supervisor.child_spec({Oban, name: ObanA, repo: Repo}, id: ObanA),
    Supervisor.child_spec({Oban, name: ObanB, repo: Repo, prefix: "special"}, id: ObanB),
    Supervisor.child_spec({Oban, name: ObanC, repo: Repo, prefix: "private"}, id: ObanC)

  Supervisor.start_link(children, strategy: :one_for_one, name: MyApp.Supervisor)

Pulse Tracking

Historic introspection is a defining feature of Oban. In addition to retaining completed jobs Oban also generates "heartbeat" records every second for each running queue.

Heartbeat records are recorded in the oban_beats table and pruned to five minutes of backlog. The recorded information is used for a couple of purposes:

  1. To track active jobs. When a job executes it records the node and queue that ran it in the attempted_by column. Zombie jobs (jobs that were left executing when a producer crashes or the node is shut down) are found by comparing the attempted_by values with recent heartbeat records and resurrected accordingly.
  2. Each heartbeat records information about a node/queue pair such as whether it is paused, what the execution limit is and exactly which jobs are running. These records can power additional logging or metrics (and are the backbone of the Oban UI).


Querying the Jobs Table

Oban.Job defines an Ecto schema and the jobs table can therefore be queried as usual, e.g.:

  from j in Oban.Job,
    where: j.worker == "MyApp.Business",
    where: j.state == "discarded"


Elixir and Erlang versions

If your app crashes on launch, be sure to confirm you are running the correct version of Elixir and Erlang (view requirements). If using the hashnuke/elixir buildpack, you can update the elixir_buildpack.config file in your application's root directory to something like:

# Elixir version

# Erlang version

Available Erlang versions are available here.

Database connections

Make sure that you have enough available database connections when running on Heroku. Oban uses a database connection in order to listen for pubsub notifications. This is in addition to your Ecto Repo pool_size setting.

Heroku's Hobby tier Postgres plans have a maximum of 20 connections, so if you're using one of those plan accordingly.


There are a few places to connect and communicate with other Oban users.


To run the Oban test suite you must have PostgreSQL 10+ running locally with a database named oban_test. Follow these steps to create the database, create the database and run all migrations:

mix test.setup

To ensure a commit passes CI you should run mix ci locally, which executes the following commands:

  • Check formatting (mix format --check-formatted)
  • Lint with Credo (mix credo --strict)
  • Run all tests (mix test --raise)
  • Run Dialyzer (mix dialyzer --halt-exit-status)

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Robust job processing, backed by modern PostgreSQL.
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