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Ruby's regular expression is unicode aware, therefore 'å' also
matches against /\p{alnum}/. If we want only ASCII-7bit, use
[a-zA-Z0-9]+ so they always match the same thing
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Signed-off-by: Dmitriy Zaporozhets <dmitriy.zaporozhets@gmail.com>
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Signed-off-by: Rémy Coutable <remy@rymai.me>
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Make archived projects completely read-only
Closes #44788
See merge request gitlab-org/gitlab-ce!18136
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So we can distinguish between the permissions on the source and the
target project.
- `create_merge_request_from` indicates a user can create a merge
request with the project as a source_project
- `create_merge_request_in` indicates a user can create a merge
request with the project as a target_project
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Fix enviroments seeding on certain branch names
Closes #45051
See merge request gitlab-org/gitlab-ce!18263
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Bit of a cryptic commit title, but our seeding will try to guard against
branchnames being anything but alphanumerical. These charachters we gsub
away but can't have an empty string as replacement.
This change is less efficient, but given that the number of seeded MRs
per project is very limited, this should be ok.
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See https://gitlab.com/gitlab-org/gitlab-ce/issues/43271
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Skip project repository disk validation in development project seeder
Closes gitlab-development-kit#310
See merge request gitlab-org/gitlab-ce!16257
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When seeding the GDK with new projects, it's very common to reuse
the same repository names on disk. Previously, the validation would
fail and leave the projects in a half-broken state. We can skip
the validation to avoid causing odd errors.
Closes gitlab-org/gitlab-development-kit#310
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Improve filtering issues by label performance
Closes #40500 and #37143
See merge request gitlab-org/gitlab-ce!16136
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development db fixtures
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I've followed the [upgrade guide](https://github.com/thoughtbot/factory_bot/blob/4-9-0-stable/UPGRADE_FROM_FACTORY_GIRL.md) and ran these two commands:
```
grep -e FactoryGirl **/*.rake **/*.rb -s -l | xargs sed -i "" "s|FactoryGirl|FactoryBot|"
grep -e factory_girl **/*.rake **/*.rb -s -l | xargs sed -i "" "s|factory_girl|factory_bot|"
```
Signed-off-by: Rémy Coutable <remy@rymai.me>
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Forbid Sidekiq scheduling in transactions
Closes #27233
See merge request !9376
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ConvDev Index
Closes #30469
See merge request !11377
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it a bit more robust against missing options,
which we did guard on for some cases.
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This seed downloads 2.1 GB worth of repositories. Google can afford the
bandwidth, but if a person using the GDK is on a metered connection,
that's not so great.
Also the GDK test suite runs this seed, so every CI run for that project
had to download those as well. Needlessly wasteful.
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Signed-off-by: Rémy Coutable <remy@rymai.me>
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Signed-off-by: Rémy Coutable <remy@rymai.me>
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Signed-off-by: Rémy Coutable <remy@rymai.me>
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Signed-off-by: Rémy Coutable <remy@rymai.me>
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Signed-off-by: Rémy Coutable <remy@rymai.me>
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Signed-off-by: Dmitriy Zaporozhets <dmitriy.zaporozhets@gmail.com>
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```
rake db:seed_fu FILTER=abuse_reports
```
Thanks to @stanhu,
https://gitlab.com/gitlab-org/gitlab-ce/issues/28059#note_23325328
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add complete changelog for !8949
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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.
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