At the conceptual heart of basically any software are "operations"—the discrete actions the software performs. Rails provides a powerful abstraction layer for building operations in the form of ActiveJob
, or we Rubyists can use the tried and true power of pure Sidekiq
. With either we can easily trigger operations from other Ruby code throughout our Rails application (controller actions, model methods, model callbacks, etc.); we can run operations both synchronously (blocking execution and then returning its response to the caller) and asychronously (non-blocking and the caller doesn't know its response); and we can also retry a specific operation if needed seamlessly.
However, in order to ensure that our operational jobs are robust, we need to ensure that they are properly idempotent and transactional. As stated in the GitLab Sidekiq Style Guide:
As a general rule, a worker can be considered idempotent if:
- It can safely run multiple times with the same arguments.
- Application side-effects are expected to happen only once (or side-effects of a second run do not have an effect).
This is, of course, far easier said than done. Thus, AcidicJob
.
AcidicJob
provides a framework to help you make your operational jobs atomic ⚛️, consistent 🤖, isolated 🕴🏼, and durable ⛰️. Its conceptual framework is directly inspired by a truly wonderful loosely collected series of articles written by Brandur Leach, which together lay out core techniques and principles required to make an HTTP API properly ACIDic:
Seriously, go and read these articles. AcidicJob
brings these techniques and principles into the world of a standard Rails application, treating your background jobs like an internal API of sorts. It provides a suite of functionality that empowers you to create complex, robust, and acidic jobs.
Add this line to your application's Gemfile:
gem 'acidic_job'
And then execute:
$ bundle install
Or simply execute to install the gem yourself:
$ bundle add acidic_job
Then, use the following command to copy over the AcidicJob::Run
migration file.
rails generate acidic_job:install
AcidicJob
brings the most seamless experience when you inject it into every job in your application. This can be done most easily by simply having your ApplicationJob
inherit from AcidicJob::Base
(if using ActiveJob
; inherit from AcidicJob::ActiveKiq
if using pure Sidekiq workers):
class ApplicationJob < AcidicJob::Base
end
This is useful because the module needs to be mixed into any and all jobs that you want to either [1] make acidic or [2] enqueue acidicly.
If you only want to inject AcidicJob
into a single job, you can include our concern AcidicJob::Mixin
instead:
class SomeJob < ApplicationJob
include AcidicJob::Mixin
end
The first and foundational feature acidic_job
provides is the with_acidic_workflow
method, which takes a block of transactional step methods (defined via the step
) method:
class RideCreateJob < AcidicJob::Base
def perform(user_id, ride_params)
@user = User.find(user_id)
@params = ride_params
with_acidic_workflow persisting: { ride: nil } do |workflow|
workflow.step :create_ride_and_audit_record
workflow.step :create_stripe_charge
workflow.step :send_receipt
end
end
private
def create_ride_and_audit_record
# ...
end
def create_stripe_charge
# ...
end
def send_receipt
# ...
end
end
with_acidic_workflow
takes only the persisting:
named parameter (optionally) and a block (required) where you define the steps of this operation. step
simply takes the name of a method available in the job. That's all!
Now, each execution of this job will find or create an AcidicJob::Run
record, which we leverage to wrap every step in a database transaction. Moreover, this database record allows us to ensure that if your job fails on step 3, when it retries, it will simply jump right back to trying to execute the method defined for the 3rd step, and won't even execute the first two step methods. This means your step methods only need to be idempotent on failure, not on success, since they will never be run again if they succeed.
By simply adding the awaits
option to your step declarations, you can attach any number of additional, asynchronous jobs to your step. This is profoundly powerful, as it means that you can define a workflow where step 2 is started if and only if step 1 succeeds, but step 1 can have 3 different jobs enqueued on 3 different queues, each running in parallel. Once (and only once) all 3 jobs succeed, AcidicJob
will re-enqueue the parent job and it will move on to step 2. That's right, you can have workers that are executed in parallel, on separate queues, and asynchronously, but are still blocking—as a group—the next step in your workflow! This unlocks incredible power and flexibility for defining and structuring complex workflows and operations.
class RideCreateJob < AcidicJob::Base
def perform(user_id, ride_params)
@user = User.find(user_id)
@params = ride_params
with_acidic_workflow persisting: { ride: nil } do |workflow|
workflow.step :create_ride_and_audit_record, awaits: [SomeJob, AnotherJob]
workflow.step :create_stripe_charge
workflow.step :send_receipt
end
end
end
If you need to await a job that takes arguments, you can prepare that job along with its arguments using the with
class method that AcidicJob
will add to your jobs:
class RideCreateJob < AcidicJob::Base
def perform(user_id, ride_params)
@user = User.find(user_id)
@params = ride_params
with_acidic_workflow persisting: { ride: nil } do |workflow|
workflow.step :create_ride_and_audit_record, awaits: awaits: [SomeJob.with('argument_1', keyword: 'value'), AnotherJob.with(1, 2, 3, some: 'thing')]
workflow.step :create_stripe_charge
workflow.step :send_receipt
end
end
end
If your step awaits multiple jobs (e.g. awaits: [SomeJob, AnotherJob.with('argument_1', keyword: 'value')]
), your top level workflow job will only continue to the next step once all of the jobs in your awaits
array have finished.
In some cases, you may need to dynamically determine the collection of jobs that the step should wait for; in these cases, you can pass the name of a method to the awaits
option:
class RideCreateJob < AcidicJob::Base
def perform(user_id, ride_params)
@user = User.find(user_id)
@params = ride_params
with_acidic_workflow persisting: { ride: nil } do |workflow|
workflow.step :create_ride_and_audit_record, awaits: :dynamic_awaits
workflow.step :create_stripe_charge
workflow.step :send_receipt
end
end
private
def dynamic_awaits
if @params["key"].present?
[SomeJob.with('argument_1', keyword: 'value')]
else
[AnotherJob.with(1, 2, 3, some: 'thing')]
end
end
end
Sometimes our workflows have steps that need to iterate over a collection and perform an action for each item in the collection before moving on to the next step in the workflow. In these cases, we can use the for_each
option when defining our step to bind that method to a specific the collection, and AcidicJob
will pass each item into your step method for processing, keeping the same transactional guarantees as for any step. This means that if your step encounters an error in processing any item in the collection, when your job is retried, the job will jump right back to that step and right back to that item in the collection to try again.
class ExampleJob < AcidicJob::Base
def perform(record:)
with_acidic_workflow persisting: { collection: [1, 2, 3, 4, 5] } do |workflow|
workflow.step :process_item, for_each: :collection
workflow.step :next_step
end
end
private
def process_item(item)
# do whatever work needs to be done with an individual item from `collection`
end
end
Note: This feature relies on the "Persisted Attributes" feature detailed below. This means that you can only iterate over collections that ActiveJob can serialize. See the Rails Guide on ActiveJob
for more info.
The persisting
option on the with_acidic_workflow
method allows you to create a cross-step, cross-retry context. This means that you can set an attribute in step 1, access it in step 2, have step 2 fail, have the job retry, jump directly back to step 2 on retry, and have that object still accessible. This is done by serializing all objects to a field on the AcidicJob::Run
and manually persisting getters and setters that sync with the database record.
The default pattern you should follow when defining your perform
method is to make any values that your step
methods need access to, but are present at the start of the perform
method simply instance variables. You only need to mark attributes that will be set during a step via persisting
. This means, the initial value will almost always be nil
. If you need a default initial value, however, you can always provide that value to persisting
.
class RideCreateJob < AcidicJob::Base
def perform(user_id, ride_params)
@user = User.find(user_id)
@params = ride_params
with_acidic_workflow persisting: { ride: nil } do |workflow|
workflow.step :create_ride_and_audit_record
workflow.step :create_stripe_charge
workflow.step :send_receipt
end
end
def create_ride_and_audit_record
self.ride = @user.rides.create(@params)
end
def create_stripe_charge
Stripe::Charge.create(amount: 20_00, customer: @ride.user)
end
# ...
end
Note: This does mean that you are restricted to objects that can be serialized by ActiveJob
(for more info, see the Rails Guide on ActiveJob
). This means you can persist ActiveRecord models, and any simple Ruby data types, but you can't persist things like Procs or custom class instances, for example.
Note: You will note the use of self.ride = ...
in the code sample above. In order to call the attribute setter method that will sync with the database record, you must use this style. @ride = ...
and/or ride = ...
will both fail to sync the value with the database record.
A standard problem when inside of database transactions is enqueuing other jobs. On the one hand, you could enqueue a job inside of a transaction that then rollbacks, which would leave that job to fail and retry and fail. On the other hand, you could enqueue a job that is picked up before the transaction commits, which would mean the records are not yet available to this job.
In order to mitigate against such issues without forcing you to use a database-backed job queue, AcidicJob
provides perform_acidicly
and deliver_acidicly
methods to "transactionally stage" enqueuing other jobs from within a step (whether another ActiveJob
or a Sidekiq::Worker
or an ActionMailer
delivery). These methods will create a new AcidicJob::Run
record, but inside of the database transaction of the step
. Upon commit of that transaction, a model callback pushes the job to your actual job queue. Once the job has been successfully performed, the AcidicJob::Run
record is deleted so that this table doesn't grow unbounded and unnecessarily.
class RideCreateJob < AcidicJob::Base
def perform(user_id, ride_params)
@user = User.find(user_id)
@params = ride_params
with_acidic_workflow persisting: { ride: nil } do |workflow|
workflow.step :create_ride_and_audit_record
workflow.step :create_stripe_charge
workflow.step :send_receipt
end
end
# ...
def send_receipt
RideMailer.with(user: @user, ride: @ride).confirm_charge.delivery_acidicly
end
end
By default, AcidicJob
uses the job identifier provided by the queueing system (ActiveJob or Sidekiq) as the idempotency key for the job run. The idempotency key is what is used to guarantee that no two runs of the same job occur. However, sometimes we need particular jobs to be idempotent based on some other criteria. In these cases, AcidicJob
provides a collection of tools to allow you to ensure the idempotency of your jobs.
Firstly, you can configure your job class to explicitly use either the job identifier or the job arguments as the foundation for the idempotency key. A job class that calls the acidic_by_job_id
class method (which is the default behavior) will simply make the job run's idempotency key the job's identifier:
class ExampleJob < AcidicJob::Base
acidic_by_job_id
def perform
end
end
Conversely, a job class can use the acidic_by_job_arguments
method to configure that job class to use the arguments passed to the job as the foundation for the job run's idempotency key:
class ExampleJob < AcidicJob::Base
acidic_by_job_arguments
def perform(arg_1, arg_2)
# the idempotency key will be based on whatever the values of `arg_1` and `arg_2` are
end
end
These options cover the two common situations, but sometimes our systems need finer-grained control. For example, our job might take some record as the job argument, but we need to use a combination of the record identifier and record status as the foundation for the idempotency key. In these cases you can pass a Proc
or a Block
to an acidic_by
class method. This code will be executed in the context of the newly initialized job instance, so you will have access to whatever data the job is initialized with (like the arguments
, for example):
class ExampleJob < AcidicJob::Base
acidic_by do
record = arguments.first[:record]
[record.id, record.status]
end
def perform(record:)
# ...
end
end
Note: The
acidic_by
proc/block will be executed in the context of the job instance at the moment the job is initialized. This means it will not have access to any instance variables defined in yourperform
method.
In order to ensure that staged AcidicJob::Run
records are only destroyed once the related job has been successfully performed, whether it is an ActiveJob or a Sidekiq Worker, AcidicJob
also extends Sidekiq to support the ActiveJob callback interface.
This allows us to use an after_perform
callback to delete the AcidicJob::Run
record, whether you are using the gem with ActiveJob or pure Sidekiq Workers. Of course, this means that you can add your own callbacks to any jobs or workers that include the AcidicJob
module as well.
When working with workflow jobs that make use of the awaits
feature for a step, it is important to remember that the after_perform
callback will be called as soon as the first awaits
step has enqueued job, and not when the entire job run has finished. AcidicJob
allows the perform
method to finish so that the queue for the workflow job is cleared to pick up new work while the awaits
jobs are running. AcidicJob
will automatically re-enqueue the workflow job and progress to the next step when all of the awaits
jobs have successfully finished. However, this means that after_perform
is not necessarily the same as after_finish
. In order to provide the opportunity for you to execute callback logic if and only if a job run has finished, we provide callback hooks for the finish
event.
For example, you could use this hook to immediately clean up the AcidicJob::Run
database record whenever the workflow job finishes successfully like so:
class RideCreateJob < AcidicJob::Base
set_callback :finish, :after, :delete_run_record
def perform(user_id, ride_params)
@user = User.find(user_id)
@params = ride_params
with_acidic_workflow persisting: { ride: nil } do |workflow|
workflow.step :create_ride_and_audit_record, awaits: [SomeJob.with('argument_1', keyword: 'value')]
workflow.step :create_stripe_charge, args: [1, 2, 3], kwargs: { some: 'thing' }
workflow.step :send_receipt
end
end
private
def delete_run_record
return unless acidic_job_run.succeeded?
acidic_job_run.destroy!
end
end
When testing acidic jobs, you are likely to run into ActiveRecord::TransactionIsolationError
s:
ActiveRecord::TransactionIsolationError: cannot set transaction isolation in a nested transaction
This error is thrown because by default RSpec and most MiniTest test suites use database transactions to keep the test database clean between tests. The database transaction that is wrapping all of the code executed in your test is run at the standard isolation level, but AcidicJob
then tries to create another transaction at a more conservative isolation level. You cannot have a nested transaction that runs at a different isolation level, thus, this error.
In order to avoid this error, you need to ensure firstly that your tests that run your acidic jobs are not using a database transaction and secondly that they use some different strategy to keep your test database clean. The DatabaseCleaner gem is a commonly used tool to manage different strategies for keeping your test database clean. As for which strategy to use, truncation
and deletion
are both safe, but their speed varies based on our app's table structure (see https://github.com/DatabaseCleaner/database_cleaner#what-strategy-is-fastest). Either is fine; use whichever is faster for your app.
In order to make this test setup simpler, AcidicJob
provides a Testing
module that your job tests can include. It is simple; it sets use_transactional_tests
to false
(if the test is an ActiveJob::TestCase
), and ensures a transaction-safe DatabaseCleaner
strategy is run for each of your tests. Moreover, it ensures that the system's original DatabaseCleaner configuration is maintained, options included, except that any transaction
strategies for any ORMs are replaced with a deletion
strategy. It does so by storing whatever the system DatabaseCleaner configuration is at the start of before_setup
phase in an instance variable and then restores that configuration at the end of after_teardown
phase. In between, it runs the configuration thru a pipeline that selectively replaces any transaction
strategies with a corresponding deletion
strategy, leaving any other configured strategies untouched.
For those of you using RSpec, you can require the acidic_job/rspec_configuration
file, which will configure RSpec in the exact same way I have used in my RSpec projects to allow me to test acidic jobs with either the deletion
strategy but still have all of my other tests use the fast transaction
strategy:
require "database_cleaner/active_record"
# see https://github.com/DatabaseCleaner/database_cleaner#how-to-use
RSpec.configure do |config|
config.use_transactional_fixtures = false
config.before(:suite) do
DatabaseCleaner.clean_with :truncation
# Here we are defaulting to :transaction but swapping to deletion for some specs;
# if your spec or its code-under-test uses
# nested transactions then specify :transactional e.g.:
# describe "SomeWorker", :transactional do
#
DatabaseCleaner.strategy = :transaction
config.before(:context, transactional: true) { DatabaseCleaner.strategy = :deletion }
config.after(:context, transactional: true) { DatabaseCleaner.strategy = :transaction }
config.before(:context, type: :system) { DatabaseCleaner.strategy = :deletion }
config.after(:context, type: :system) { DatabaseCleaner.strategy = :transaction }
end
config.around(:each) do |example|
DatabaseCleaner.cleaning do
example.run
end
end
end
After checking out the repo, run bin/setup
to install dependencies. Then, run rake test
to run the tests. You can also run bin/console
for an interactive prompt that will allow you to experiment.
To install this gem onto your local machine, run bundle exec rake install
. To release a new version, update the version number in version.rb
, and then run bundle exec rake release
, which will create a git tag for the version, push git commits and the created tag, and push the .gem
file to rubygems.org.
You can run a specific combination of Rails version and Sidekiq version using one of the Gemfiles defined in the /gemfiles
directory via the BUNDLE_GEMFILE
ENV variable, e.g.:
BUNDLE_GEMFILE=gemfiles/rails_7.0_sidekiq_6.5.gemfile bundle exec rake test
You can likewise test only one particular test file using the TEST
ENV variable, e.g.:
TEST=test/acidic_job/extensions/noticed_test.rb
Finally, if you need to only run one particular test case itself, use the TESTOPTS
ENV variable with the --name
option, e.g.:
TESTOPTS="--name=test_deliver_acidicly_on_noticed_notification_with_only_database_delivery"
You may also need to run the test suite with a particular Ruby version. If you are using the ASDF version manager, you can set the Ruby version with the ASDF_RUBY_VERSION
ENV variable, e.g.:
ASDF_RUBY_VERSION=2.7.7 bundle exec rake test
If you are using rbenv
to manage your Ruby versions, you can use the RBENV_VERSION
ENV variable instead.
These options can of course be combined to help narrow down your debugging when you find a failing test in CI.
Bug reports and pull requests are welcome on GitHub at https://github.com/[USERNAME]/acidic_job.