- Set up db with developer seeds
- Run tests
- Compile Frontend Assets
- Updating Emoji Aliases
- Updating Emoji Digests
- Emoji Sprites
- Updating project templates
- Generate route lists
- Show obsolete
- Update GraphQL Documentation and Schema definitions
Note that if your db user does not have advanced privileges you must create the db manually before running this command.
bundle exec rake setup
setup task is an alias for
This tasks calls
db:reset to create the database, and calls
db:seed_fu to seed the database.
db:seed but this does nothing.
MASS_INSERT: Create millions of users (2m), projects (5m) and its relations. It’s highly recommended to run the seed with it to catch slow queries while developing. Expect the process to take up to 20 extra minutes.
LARGE_PROJECTS: Create large projects (through import) from a predefined set of urls.
You can seed issues for all or a given project with the
# All projects bin/rake gitlab:seed:issues # A specific project bin/rake "gitlab:seed:issues[group-path/project-path]"
By default, this seeds an average of 2 issues per week for the last 5 weeks per project.
You can seed issues specifically for working with the
Insights charts with the
# All projects bin/rake gitlab:seed:insights:issues # A specific project bin/rake "gitlab:seed:insights:issues[group-path/project-path]"
By default, this seeds an average of 10 issues per week for the last 52 weeks per project. All issues will also be randomly labeled with team, type, severity, and priority.
You can seed groups with sub-groups that contain milestones/projects/issues
bin/rake "gitlab:seed:group_seed[subgroup_depth, username]"
Group are additionally seeded with epics if GitLab instance has epics feature available.
A lot of different types of metrics are supported in the monitoring dashboard.
To import these metrics, you can run:
bundle exec rake 'gitlab:seed:development_metrics[your_project_id]'
If you’re very sure that you want to wipe the current database and refill seeds, you could:
echo 'yes' | bundle exec rake setup
To save you from answering
Since the script would print a lot of information, it could be slowing down
your terminal, and it would generate more than 20G logs if you just redirect
it to a file. If we don’t care about the output, we could just redirect it to
echo 'yes' | bundle exec rake setup > /dev/null
Note that since you can’t see the questions from stdout, you might just want
echo 'yes' to keep it running. It would still print the errors on stderr
so no worries about missing errors.
There are a few environment flags you can pass to change how projects are seeded
SIZE: defaults to
32. Amount of projects to create.
LARGE_PROJECTS: defaults to false. If set will clone 6 large projects to help with testing.
FORK: defaults to false. If set to
torvalds/linuxfive times. Can also be set to an existing project full_path and it will fork that instead.
In order to run the test you can use the following commands:
bin/rake specto run the rspec suite
bin/rake spec:unitto run only the unit tests
bin/rake spec:integrationto run only the integration tests
bin/rake spec:systemto run only the system tests
bin/rake karmato run the Karma test suite
bin/rake spec takes significant time to pass.
Instead of running full test suite locally you can save a lot of time by running
a single test or directory related to your changes. After you submit merge request
CI will run full test suite for you. Green CI status in the merge request means
full test suite is passed.
Note: You can’t run
rspec . since this will try to run all the
files it can find, also the ones in
Note: You can pass RSpec command line options to the
spec:system tasks, e.g.
bin/rake "spec:unit[--tag ~geo --dry-run]".
To run a single test file you can use:
bin/rspec spec/controllers/commit_controller_spec.rbfor a rspec test
To run several tests inside one directory:
bin/rspec spec/requests/api/for the rspec tests if you want to test API only
Spring is a Rails application preloader. It speeds up development by keeping your application running in the background so you don’t need to boot it every time you run a test, Rake task or migration.
If you want to use it, you’ll need to export the
Alternatively you can use the following on each spec run,
bundle exec spring rspec some_spec.rb
You shouldn’t ever need to compile frontend assets manually in development, but if you ever need to test how the assets get compiled in a production environment you can do so with the following command:
RAILS_ENV=production NODE_ENV=production bundle exec rake gitlab:assets:compile
with all other frontend assets (images, fonts, etc) into
they can be easily inspected.
To update the Emoji aliases file (used for Emoji autocomplete) you must run the following:
bundle exec rake gemojione:aliases
To update the Emoji digests file (used for Emoji autocomplete) you must run the following:
bundle exec rake gemojione:digests
This will update the file
fixtures/emojis/digests.json based on the currently
Generating a sprite file containing all the Emoji can be done by running:
bundle exec rake gemojione:sprite
If new emoji are added, the spritesheet may change size. To compensate for
such changes, first generate the
emoji.png spritesheet with the above Rake
task, then check the dimensions of the new spritesheet and update the
SPRITESHEET_HEIGHT constants accordingly.
Starting a project from a template needs this project to be exported. On a up to date master branch run:
gdk start bundle exec rake gitlab:update_project_templates git checkout -b update-project-templates git add vendor/project_templates git commit git push -u origin update-project-templates
Now create a merge request and merge that to master.
To see the full list of API routes, you can run:
bundle exec rake grape:path_helpers
For the Rails controllers, run:
bundle exec rake routes
Since these take some time to create, it’s often helpful to save the output to a file for quick reference.
To see a list of all obsolete
bundle exec rake db:obsolete_ignored_columns
Feel free to remove their definitions from their
To generate GraphQL documentation based on the GitLab schema, run:
bundle exec rake gitlab:graphql:compile_docs
In its current state, the Rake task:
- Generates output for GraphQL objects.
- Places the output at
This uses some features from
graphql-docs gem like its schema parser and helper methods.
The docs generator code comes from our side giving us more flexibility, like using Haml templates and generating Markdown files.
To edit the template used, please take a look at
The actual renderer is at
@parsed_schema is an instance variable that the
graphql-docs gem expects to have available.
Gitlab::Graphql::Docs::Helper defines the
object method we currently use. This is also where you
should implement any new methods for new types you’d like to display.
To generate GraphQL schema files based on the GitLab schema, run:
bundle exec rake gitlab:graphql:schema:dump
This uses GraphQL Ruby’s built-in Rake tasks to generate files in both IDL and JSON formats.