Sidekiq idempotent jobs
It's known that a job can fail for multiple reasons. For example, network outages or bugs. In order to address this, Sidekiq has a built-in retry mechanism that is used by default by most workers within GitLab.
It's expected that a job can run again after a failure without major side-effects for the application or users, which is why Sidekiq encourages jobs to be idempotent and transactional.
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).
A good example of that would be a cache expiration worker.
A job scheduled for an idempotent worker is deduplicated when an unstarted job with the same arguments is already in the queue.
Ensuring a worker is idempotent
Make sure the worker tests pass using the following shared example:
include_examples 'an idempotent worker' do
it 'marks the MR as merged' do
# Using subject inside this block will process the job multiple times
subject
expect(merge_request.state).to eq('merged')
end
end
Use the perform_multiple
method directly instead of job.perform
(this
helper method is automatically included for workers).
Declaring a worker as idempotent
class IdempotentWorker
include ApplicationWorker
# Declares a worker is idempotent and can
# safely run multiple times.
idempotent!
# ...
end
It's encouraged to only have the idempotent!
call in the top-most worker class, even if
the perform
method is defined in another class or module.
If the worker class isn't marked as idempotent, a cop fails. Consider skipping the cop if you're not confident your job can safely run multiple times.
Deduplication
When a job for an idempotent worker is enqueued while another unstarted job is already in the queue, GitLab drops the second job. The work is skipped because the same work would be done by the job that was scheduled first; by the time the second job executed, the first job would do nothing.
Strategies
GitLab supports two deduplication strategies:
until_executing
until_executed
More deduplication strategies have been suggested. If you are implementing a worker that could benefit from a different strategy, please comment in the issue.
Until Executing
This strategy takes a lock when a job is added to the queue, and removes that lock before the job starts.
For example, AuthorizedProjectsWorker
takes a user ID. When the
worker runs, it recalculates a user's authorizations. GitLab schedules
this job each time an action potentially changes a user's
authorizations. If the same user is added to two projects at the
same time, the second job can be skipped if the first job hasn't
begun, because when the first job runs, it creates the
authorizations for both projects.
module AuthorizedProjectUpdate
class UserRefreshOverUserRangeWorker
include ApplicationWorker
deduplicate :until_executing
idempotent!
# ...
end
end
Until Executed
This strategy takes a lock when a job is added to the queue, and removes that lock after the job finishes. It can be used to prevent jobs from running simultaneously multiple times.
module Ci
class BuildTraceChunkFlushWorker
include ApplicationWorker
deduplicate :until_executed
idempotent!
# ...
end
end
Also, you can pass if_deduplicated: :reschedule_once
option to re-run a job once after
the currently running job finished and deduplication happened at least once.
This ensures that the latest result is always produced even if a race condition
happened. See this issue for more information.
Scheduling jobs in the future
GitLab doesn't skip jobs scheduled in the future, as we assume that
the state has changed by the time the job is scheduled to
execute. Deduplication of jobs scheduled in the feature is possible
for both until_executed
and until_executing
strategies.
If you do want to deduplicate jobs scheduled in the future,
this can be specified on the worker by passing including_scheduled: true
argument
when defining deduplication strategy:
module AuthorizedProjectUpdate
class UserRefreshOverUserRangeWorker
include ApplicationWorker
deduplicate :until_executing, including_scheduled: true
idempotent!
# ...
end
end
Setting the deduplication time-to-live (TTL)
Deduplication depends on an idempotency key that is stored in Redis. This is normally cleared by the configured deduplication strategy.
However, the key can remain until its TTL in certain cases like:
-
until_executing
is used but the job was never enqueued or executed after the Sidekiq client middleware was run. -
until_executed
is used but the job fails to finish due to retry exhaustion, gets interrupted the maximum number of times, or gets lost.
The default value is 6 hours. During this time, jobs won't be enqueued even if the first job never executed or finished.
The TTL can be configured with:
class ProjectImportScheduleWorker
include ApplicationWorker
idempotent!
deduplicate :until_executing, ttl: 5.minutes
end
Duplicate jobs can happen when the TTL is reached, so make sure you lower this only for jobs that can tolerate some duplication.
Preserve the latest WAL location for idempotent jobs
- Introduced in GitLab 14.3.
- Enabled on GitLab.com in GitLab 14.4.
- Enabled on self-managed in GitLab 14.6.
The deduplication always take into account the latest binary replication pointer, not the first one. This happens because we drop the same job scheduled for the second time and the Write-Ahead Log (WAL) is lost. This could lead to comparing the old WAL location and reading from a stale replica.
To support both deduplication and maintaining data consistency with load balancing, we are preserving the latest WAL location for idempotent jobs in Redis. This way we are always comparing the latest binary replication pointer, making sure that we read from the replica that is fully caught up.
FLAG:
On self-managed GitLab, by default this feature is available. To hide the feature, ask an administrator to
disable the feature flag named preserve_latest_wal_locations_for_idempotent_jobs
.
This feature flag is related to GitLab development and is not intended to be used by GitLab administrators, though. On GitLab.com, this feature is available.