• What is end-to-end testing?
• How do we test GitLab?
  • Testing nightly builds
  • Testing staging
  • Testing code in merge requests
    • Using the package-and-test job
    • How does it work?
    • With merged results pipelines
      • Running custom tests
    • Using the review-qa-all jobs
    • Selective test execution
    • Overriding selective test execution
  • Run tests in parallel
• Test metrics
  • Provisioning
  • Exporting metrics in CI
• Test reports
  • Allure report
    • Merge requests
    • Scheduled pipelines
    • Static report links
• How do you run the tests?
  • Running tests that require special setup
• How do you write tests?
  • Consider not writing an end-to-end test
• Where can you ask for help?

End-to-end Testing

What is end-to-end testing?

End-to-end (e2e) 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 to run the end-to-end tests located in the qa directory.

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-test job

It is possible to run end-to-end tests for a merge request by triggering the e2e:package-and-test 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.

1. In the gitlab-org/gitlab pipeline:
   1. Developer triggers the e2e:package-and-test manual action (available once the build-qa-image and build-assets-image jobs are done), that can be found in GitLab merge requests. This starts a e2e test child pipeline.
   2. E2E child pipeline triggers a downstream pipeline in gitlab-org/build/omnibus-gitlab-mirror and polls for the resulting status. We call this a status attribution.
2. In the gitlab-org/build/omnibus-gitlab-mirror pipeline:
   1. Docker image is being built and pushed to its Container Registry.
   2. Once Docker images are built and pushed jobs in test stage are started
3. In the Test stage:
   1. Container for the Docker image stored in the gitlab-org/build/omnibus-gitlab-mirror registry is spun-up.
   2. End-to-end tests are run with the gitlab-qa executable, which spin up a container for the end-to-end image from the gitlab-org/gitlab registry.

For more technical details on CI/CD setup and documentation on adding new test jobs to package-and-test pipeline, see package_and_test setup documentation.

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.

The end-to-end tests on a merged results pipeline would use the new ref instead of the head of the merge request source branch.

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 by running _ee:quarantine manual job. When selecting the name (not the play icon) of manual job, you are prompted to enter variables. You can use any of the variables that can be used with gitlab-qa as well as these:

For now, manual jobs with custom variables don’t use the same variable when retried, so if you want to run the same tests 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.

Selective test execution

In order to limit amount of tests executed in a merge request, dynamic selection of which tests to execute is present. Algorithm of which tests to run is based on changed files and merge request labels. Following criteria determine which tests will run:

1. Changes in qa framework code would execute the full suite
2. Changes in particular _spec.rb file in qa folder would execute only that particular test
3. Merge request with backend changes and label devops::manage would execute all e2e tests related to manage stage

Overriding selective test execution

To override selective test execution and trigger the full suite, label pipeline:run-all-e2e should be added to particular merge request.

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:

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 S3 bucket gitlab-qa-allure-report located in AWS group project eng-quality-ops-ci-cd-shared-infra.

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 you 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 you write tests?

In order to write new tests, you first need to learn more about GitLab QA architecture. See the documentation about it.

After you’ve 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
• Troubleshooting

Where can you 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.