Commit Graph

15 Commits

Author SHA1 Message Date
GitLab Bot 0d8bcdf77d Add latest changes from gitlab-org/gitlab@master 2022-10-04 09:09:18 +00:00
GitLab Bot 948023c9c9 Add latest changes from gitlab-org/gitlab@master 2022-06-10 12:09:36 +00:00
GitLab Bot c68ee79c33 Add latest changes from gitlab-org/gitlab@master 2022-01-07 15:15:57 +00:00
GitLab Bot c9439a09c5 Add latest changes from gitlab-org/gitlab@master 2021-12-01 12:16:08 +00:00
GitLab Bot e40f19ef83 Add latest changes from gitlab-org/gitlab@master 2021-11-11 15:10:57 +00:00
GitLab Bot 70cfa5e3e7 Add latest changes from gitlab-org/gitlab@master 2021-04-26 21:10:25 +00:00
GitLab Bot 71da5de44f Add latest changes from gitlab-org/gitlab@master 2020-08-05 15:09:59 +00:00
dineshpanda e908e11776 Avoid calling freeze on already frozen strings in lib/gitlab 2019-09-04 09:52:02 +05:30
Nick Thomas 9ef0c8559d
Clarify documentation of Gitlab::SidekiqStatus
The "running" state is ambiguous. Clarify that it covers both enqueued
and actually running jobs.
2019-07-04 08:45:14 +01:00
gfyoung c858f70d07 Enable frozen string for lib/gitlab/*.rb 2018-10-22 07:00:50 +00:00
Oswaldo Ferreira b78954c13d Simplify check for running job on Redis 2017-10-13 10:17:41 +02:00
Tiago Botelho f865b1b459 Backports EE mirror stuck handling feature (https://gitlab.com/gitlab-org/gitlab-ee/merge_requests/2628) to CE 2017-08-17 13:38:05 +01:00
James Lopez 58371efbb0 Periodically mark projects that are stuck in importing as failed
Adds import jid to projects
Refactor middleware to set custom expiration time via sidekiq options
Add completed_jids option to sidekiq status and a few other changes
2017-04-05 16:11:51 +02:00
Stan Hu ffd970d97d Make SidekiqStatus able to count number of jobs completed/running 2017-03-03 15:35:58 -08:00
Yorick Peterse 88e627cf14
Fix race conditions for AuthorizedProjectsWorker
There were two cases that could be problematic:

1. Because sometimes AuthorizedProjectsWorker would be scheduled in a
   transaction it was possible for a job to run/complete before a
   COMMIT; resulting in it either producing an error, or producing no
   new data.

2. When scheduling jobs the code would not wait until completion. This
   could lead to a user creating a project and then immediately trying
   to push to it. Usually this will work fine, but given enough load it
   might take a few seconds before a user has access.

The first one is problematic, the second one is mostly just annoying
(but annoying enough to warrant a solution).

This commit changes two things to deal with this:

1. Sidekiq scheduling now takes places after a COMMIT, this is ensured
   by scheduling using Rails' after_commit hook instead of doing so in
   an arbitrary method.

2. When scheduling jobs the calling thread now waits for all jobs to
   complete.

Solution 2 requires tracking of job completions. Sidekiq provides a way
to find a job by its ID, but this involves scanning over the entire
queue; something that is very in-efficient for large queues. As such a
more efficient solution is necessary. There are two main Gems that can
do this in a more efficient manner:

* sidekiq-status
* sidekiq_status

No, this is not a joke. Both Gems do a similar thing (but slightly
different), and the only difference in their name is a dash vs an
underscore. Both Gems however provide far more than just checking if a
job has been completed, and both have their problems. sidekiq-status
does not appear to be actively maintained, with the last release being
in 2015. It also has some issues during testing as API calls are not
stubbed in any way. sidekiq_status on the other hand does not appear to
be very popular, and introduces a similar amount of code.

Because of this I opted to write a simple home grown solution. After
all, all we need is storing a job ID somewhere so we can efficiently
look it up; we don't need extra web UIs (as provided by sidekiq-status)
or complex APIs to update progress, etc.

This is where Gitlab::SidekiqStatus comes in handy. This namespace
contains some code used for tracking, removing, and looking up job IDs;
all without having to scan over an entire queue. Data is removed
explicitly, but also expires automatically just in case.

Using this API we can now schedule jobs in a fork-join like manner: we
schedule the jobs in Sidekiq, process them in parallel, then wait for
completion. By using Sidekiq we can leverage all the benefits such as
being able to scale across multiple cores and hosts, retrying failed
jobs, etc.

The one downside is that we need to make sure we can deal with
unexpected increases in job processing timings. To deal with this the
class Gitlab::JobWaiter (used for waiting for jobs to complete) will
only wait a number of seconds (30 by default). Once this timeout is
reached it will simply return.

For GitLab.com almost all AuthorizedProjectWorker jobs complete in
seconds, only very rarely do we spike to job timings of around a minute.
These in turn seem to be the result of external factors (e.g. deploys),
in which case a user is most likely not able to use the system anyway.

In short, this new solution should ensure that jobs are processed
properly and that in almost all cases a user has access to their
resources whenever they need to have access.
2017-01-25 13:22:15 +01:00