15 KiB
stage | group | info |
---|---|---|
none | unassigned | To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments |
End-to-end Testing
What is end-to-end testing?
End-to-end testing is a strategy used to check whether your application works as expected across the entire software stack and architecture, including integration of all micro-services and components that are supposed to work together.
How do we test GitLab?
We use Omnibus GitLab to build GitLab packages and then we test these packages using the GitLab QA orchestrator tool, which is a black-box testing framework for the API and the UI.
Testing nightly builds
We run scheduled pipelines each night to test nightly builds created by Omnibus.
You can find these pipelines at https://gitlab.com/gitlab-org/quality/nightly/pipelines
(requires the Developer role). Results are reported in the #qa-nightly
Slack channel.
Testing staging
We run scheduled pipelines each night to test staging.
You can find these pipelines at https://gitlab.com/gitlab-org/quality/staging/pipelines
(requires the Developer role). Results are reported in the #qa-staging
Slack channel.
Testing code in merge requests
Using the package-and-qa
job
It is possible to run end-to-end tests for a merge request, eventually being run in
a pipeline in the gitlab-org/gitlab-qa-mirror
project,
by triggering the package-and-qa
manual action in the qa
stage (not
available for forks).
This runs end-to-end tests against a custom EE (with an Ultimate license) Docker image built from your merge request's changes.
Manual action that starts end-to-end tests is also available
in gitlab-org/omnibus-gitlab
merge requests.
How does it work?
Currently, we are using multi-project pipeline-like approach to run end-to-end pipelines.
graph TB
A1 -.->|once done, can be triggered| A2
A2 -.->|1. Triggers an `omnibus-gitlab-mirror` pipeline<br>and wait for it to be done| B1
B2[`Trigger-qa` stage<br>`Trigger:qa-test` job] -.->|2. Triggers a `gitlab-qa-mirror` pipeline<br>and wait for it to be done| C1
subgraph "`gitlab-org/gitlab` pipeline"
A1[`build-images` stage<br>`build-qa-image` and `build-assets-image` jobs]
A2[`qa` stage<br>`package-and-qa` job]
end
subgraph "`gitlab-org/build/omnibus-gitlab-mirror` pipeline"
B1[`Trigger-docker` stage<br>`Trigger:gitlab-docker` job] -->|once done| B2
end
subgraph "`gitlab-org/gitlab-qa-mirror` pipeline"
C1>End-to-end jobs run]
end
-
In the
gitlab-org/gitlab
pipeline:- Developer triggers the
package-and-qa
manual action (available once thebuild-qa-image
andbuild-assets-image
jobs are done), that can be found in GitLab merge requests. This starts a chain of pipelines in multiple projects. - The script being executed triggers a pipeline in
gitlab-org/build/omnibus-gitlab-mirror
and polls for the resulting status. We call this a status attribution.
- Developer triggers the
-
In the
gitlab-org/build/omnibus-gitlab-mirror
pipeline:- Docker image is being built and pushed to its Container Registry.
- Finally, the
Trigger:qa-test
job triggers a new end-to-end pipeline ingitlab-org/gitlab-qa-mirror
and polls for the resulting status.
-
In the
gitlab-org/gitlab-qa-mirror
pipeline:- Container for the Docker image stored in the
gitlab-org/build/omnibus-gitlab-mirror
registry is spun-up. - End-to-end tests are run with the
gitlab-qa
executable, which spin up a container for the end-to-end image from thegitlab-org/gitlab
registry.
- Container for the Docker image stored in the
-
The result of the
gitlab-org/gitlab-qa-mirror
pipeline is being propagated upstream (through polling from upstream pipelines), throughgitlab-org/build/omnibus-gitlab-mirror
, back to thegitlab-org/gitlab
merge request.
We plan to add more specific information
about the tests included in each job/scenario that runs in gitlab-org/gitlab-qa-mirror
.
NOTE:
You may have noticed that we use gitlab-org/build/omnibus-gitlab-mirror
instead of
gitlab-org/omnibus-gitlab
, and gitlab-org/gitlab-qa-mirror
instead of gitlab-org/gitlab-qa
.
This is due to technical limitations in the GitLab permission model: the ability to run a pipeline
against a protected branch is controlled by the ability to push/merge to this branch.
This means that for developers to be able to trigger a pipeline for the default branch in
gitlab-org/omnibus-gitlab
/gitlab-org/gitlab-qa
, they would need to have the
Maintainer role for those projects.
For security reasons and implications, we couldn't open up the default branch to all the Developers.
Hence we created these mirrors where Developers and Maintainers are allowed to push/merge to the default branch.
This problem was discovered in https://gitlab.com/gitlab-org/gitlab-qa/-/issues/63#note_107175160 and the "mirror"
work-around was suggested in https://gitlab.com/gitlab-org/omnibus-gitlab/-/issues/4717.
A feature proposal to segregate access control regarding running pipelines from ability to push/merge was also created at https://gitlab.com/gitlab-org/gitlab/-/issues/24585.
With merged results pipelines
In a merged results pipeline, the pipeline runs on a new ref that contains the merge result of the source and target branch.
However, this ref is not available to the gitlab-qa-mirror
pipeline.
For this reason, the end-to-end tests on a merged results pipeline would use the head of the merge request source branch.
graph LR
A["a1b1c1 - branch HEAD (CI_MERGE_REQUEST_SOURCE_BRANCH_SHA)"]
B["x1y1z1 - master HEAD"]
C["d1e1f1 - merged results (CI_COMMIT_SHA)"]
A --> C
B --> C
A --> E["E2E tests"]
C --> D["Merged results pipeline"]
Running custom tests
The existing scenarios
that run in the downstream gitlab-qa-mirror
pipeline include many tests, but there are times when you might want to run a
test or a group of tests that are different than the groups in any of the existing scenarios.
For example, when we dequarantine
a flaky test we first want to make sure that it's no longer flaky.
We can do that using the ce:custom-parallel
and ee:custom-parallel
jobs.
Both are manual jobs that you can configure using custom variables.
When clicking the name (not the play icon) of one of the parallel jobs,
you are prompted to enter variables. You can use any of the variables
that can be used with gitlab-qa
as well as these:
Variable | Description |
---|---|
QA_SCENARIO |
The scenario to run (default Test::Instance::Image ) |
QA_TESTS |
The test(s) to run (no default, which means run all the tests in the scenario). Use file paths as you would when running tests via RSpec, for example, qa/specs/features/ee/browser_ui would include all the EE UI tests. |
QA_RSPEC_TAGS |
The RSpec tags to add (no default) |
For now manual jobs with custom variables don't use the same variable
when retried, so if you want to run the same test(s) multiple times,
specify the same variables in each custom-parallel
job (up to as
many of the 10 available jobs that you want to run).
Using the review-qa-all
jobs
On every pipeline during the test
stage, the review-qa-smoke
job is
automatically started: it runs the QA smoke suite against the
Review App.
You can also manually start the review-qa-all
: it runs the full QA suite
against the Review App.
This runs end-to-end tests against a Review App based on the official GitLab Helm chart, itself deployed with custom Cloud Native components built from your merge request's changes.
See Review Apps for more details about Review Apps.
Run tests in parallel
To run tests in parallel on CI, the Knapsack
gem is used. Knapsack reports are generated automatically and stored in the GCS
bucket
knapsack-reports
in the gitlab-qa-resources
project. The KnapsackReport
helper handles automated report generation and upload.
Test metrics
For additional test health visibility, use a custom setup to export test execution results to your InfluxDb instance, and visualize results as Grafana dashboards.
Provisioning
Provisioning of all components is performed by the
engineering-productivity-infrastructure
project.
Exporting metrics in CI
Use these environment variables to configure metrics export:
Variable | Required | Information |
---|---|---|
QA_INFLUXDB_URL |
true |
Should be set to https://influxdb.quality.gitlab.net . No default value. |
QA_INFLUXDB_TOKEN |
true |
InfluxDB write token that can be found under Influxdb auth tokens document in Gitlab-QA 1Password vault. No default value. |
QA_RUN_TYPE |
false |
Arbitrary name for test execution, like package-and-qa . Automatically inferred from the project name for live environment test executions. No default value. |
QA_EXPORT_TEST_METRICS |
false |
Flag to enable or disable metrics export. Defaults to true . |
Test reports
Allure report
For additional test results visibility, tests that run on pipelines generate and host Allure test reports.
The QA
framework is using the Allure RSpec
gem to generate source files for the Allure
test report. An additional job
in the pipeline:
- Fetches these source files from all test jobs.
- Generates and uploads the report to the
GCS
bucketgitlab-qa-allure-report
under the projectgitlab-qa-resources
.
A common CI template for report uploading is stored in
allure-report.yml
.
Merge requests
When these tests are executed in the scope of merge requests, the Allure
report is
uploaded to the GCS
bucket and comment is added linking to their respective reports.
Scheduled pipelines
Scheduled pipelines for these tests contain a generate-allure-report
job under the Report
stage. They also output
a link to the current test report.
Static report links
Each type of scheduled pipeline generates a static link for the latest test report according to its stage:
master
staging-full
staging-sanity
staging-sanity-no-admin
canary-sanity
production
production-sanity
How do I run the tests?
If you are not testing code in a merge request, there are two main options for running the tests. If you want to run the existing tests against a live GitLab instance or against a pre-built Docker image, use the GitLab QA orchestrator. See also examples of the test scenarios you can run via the orchestrator.
On the other hand, if you would like to run against a local development GitLab environment, you can use the GitLab Development Kit (GDK). Please refer to the instructions in the QA README and the section below.
Running tests that require special setup
Learn how to perform tests that require special setup or consideration to run on your local environment.
How do I write tests?
In order to write new tests, you first need to learn more about GitLab QA architecture. See the documentation about it.
Once you decided where to put test environment orchestration scenarios and instance-level scenarios, take a look at the GitLab QA README, the GitLab QA orchestrator README, and the already existing instance-level scenarios.
Consider not writing an end-to-end test
We should follow these best practices for end-to-end tests:
- Do not write an end-to-end test if a lower-level feature test exists. End-to-end tests require more work and resources.
- Troubleshooting for end-to-end tests can be more complex as connections to the application under test are not known.
Continued reading:
- Beginner's Guide
- Style Guide
- Best Practices
- Testing with feature flags
- Flows
- RSpec metadata/tags
- Execution context selection
Where can I ask for help?
You can ask question in the #quality
channel on Slack (GitLab internal) or
you can find an issue you would like to work on in
the gitlab
issue tracker, or
the gitlab-qa
issue tracker.