Reviewing GitLab Runner

This document contains rules and suggestions for GitLab Runner project reviewers.

Reviewing tests coverage reports

In GitLab Runner project, we have a lot of code. Unfortunately, the code coverage is not comprehensive. Currently (early 2019), the coverage is on the level of ~55%.

While adding tests to a legacy code is a hard task, we should ensure that new code that is being added to the project has good tests coverage. Code reviewers are encouraged to look on the coverage reports and ensure new code is covered.

We should aim for as much test coverage for new code as possible. Defining the level of required coverage for a specific change is left for the reviewer judgment. Sometimes 100% coverage will be something simple to achieve. Sometimes adding code with only 20% of the coverage will be realistic and will ensure that the most important things are being tested. Dear reviewer - chose wisely :)

Getting back to the technical details…

Runner’s CI Pipeline helps us here and provides the coverage reports in HTML format, for tests executed in regular (count) and race (atomic) modes.

There are two places where test coverage reports can be seen. For:

Test coverage report from S3

This report has a long-term life but, because it uses the gitlab-runners-download S3 bucket, it’s available only for contributions made directly to https://gitlab.com/gitlab-org/gitlab-runner. It is also available for all jobs started from master branch (so mostly Merge Requests merges) and for all tagged releases.

To open the report:

  1. Find the Pipeline related to the change that we want to review. It may be the latest Pipeline for the Merge Requests or a Pipeline for the tag. For example, we can look at this one: https://gitlab.com/gitlab-org/gitlab-runner/pipelines/48686952, which released the v11.8.0 version of Runner.

  2. In the pipeline, find the stable S3 (for tagged releases), bleeding edge S3 (for master and RC tagged releases), or development S3 (for regular commits) job which should be present at the release stage. In our example pipeline, it will be: https://gitlab.com/gitlab-org/gitlab-runner/-/jobs/165757556.

  3. At the end of the job’s log, we should see a line like:

    ==> Download index file: https://gitlab-runner-downloads.s3.amazonaws.com/latest/index.html
    

    Because when this job was triggered, and v11.8.0 was also the latest release, we see a link to the latest version bucket. The problem with latest is that the content there changes when new stable/patch versions are released.

    Each pipeline also creates a deployment for a specific reference (a branch name or a tag name). Several lines above we can see:

    ==> Download index file: https://gitlab-runner-downloads.s3.amazonaws.com/v11.8.0/index.html
    

    This URL points to a bucket, that should not be changed in the future. For a bleeding edge S3 started from a master branch, the URL should look like https://gitlab-runner-downloads.s3.amazonaws.com/master/index.html (which obviously also changes over time) and for the one started from a RC tag, it should look like https://gitlab-runner-downloads.s3.amazonaws.com/v11.8.0-rc1/index.html. For the development S3 job, started from a regular commit (mostly tracked within a Merge Request), the URL should look like https://gitlab-runner-downloads.s3.amazonaws.com/mask-trace/index.html. In this case the mask-trace is the name of the branch, which was used as Merge Request source.

  4. Open the S3 link gathered from the job’s log. Following our example, let’s open the https://gitlab-runner-downloads.s3.amazonaws.com/v11.8.0/index.html one. We can see here several files that are published as part of the release. We’re interested in the content of the coverage/ directory.

    In this directory, we can see three files with .race. as part of the filename, and three similar files but with .regular. as part of the filename. The files are tracking output of go test command executed with coverage options. The .race. files contain sources and reports for tests started with -race flag, while the .regular. files are sources and reports for tests started without this option.

    For those who are interested in details, the -race tests are using atomic coverage mode, while the standard tests are using count coverage mode.

    For our case, the coverage/coverprofile.regular.html file is what we should look at. .race. tests can fail in race condition situations (this is why we’re executing them) and currently we have several of them that are constantly failing. This means that the coverage profile may not be full.

    The .regular. tests, instead, should give us the full overview of what’s tested inside of our code. To inspect them:

  5. Open wanted report HTML page. As stated above, coverage/coverprofile.regular.html is what we’re interested in, so using our initial example we should open the https://gitlab-runner-downloads.s3.amazonaws.com/v11.8.0/coverage/coverprofile.regular.html#file0 file.

  6. At this moment, we can see a file browser showing test coverage details. In the drop-down select at the top, we can now start choosing files related to the reviewed modification and check how the coverage is changing.

Test coverage report from job artifact

As written above, reports hosted on S3 buckets are available only for pipelines started directly from https://gitlab.com/gitlab-org/gitlab-runner project. But many of the contributions that the reviewers are handling are contributions coming from community forks.

In this case, we have the same two types of reports - .regular. and .race. - generated in exactly same way. The only difference is the place where they can be found and their lifespan. Reports are saved as job artifacts so they can be next passed to the release stage). There is a 7 day expiration time set on them. So when reviewing a change that executed its pipeline more than a week before, the report will be unavailable. But, a new pipeline execution, even without changes in the code, will resolve the problem.

To open the report:

  1. Find the pipeline related to the change that will be reviewed. For example, we can use https://gitlab.com/gitlab-org/gitlab-runner/pipelines/50600305. It’s a branch started from master at https://gitlab.com/gitlab-org/gitlab-runner. Normally we could just look for the S3 deployment, but all pipelines started inside of https://gitlab.com/gitlab-org/gitlab-runner have also stored the reports as jobs artifacts. In this case, I still have a time to click keep, so the future readers of this documentation will be able to see the artifacts. ;)

  2. In the pipeline, find the test coverage report job in the coverage stage. In our example it’s available at https://gitlab.com/gitlab-org/gitlab-runner/-/jobs/172824578.

  3. On the job’s page, let’s use the Browse button (on the right panel) to open Artifacts Browser. The browser for our example job is available at https://gitlab.com/gitlab-org/gitlab-runner/-/jobs/172824578/artifacts/browse.

  4. In the browser, we need to navigate to the out/coverage/ directory (https://gitlab.com/gitlab-org/gitlab-runner/-/jobs/172824578/artifacts/browse/out/coverage/). This directory will contain the same six files - three with .race. and three similar with .regular. as it was described in the S3 strategy.

    For change reviewing, we’re mostly interested in looking at the HTML report for .regular. type - the coverprofile.regular.html file. As we can see, all files are visible as external links, so for our example we’ll open https://gitlab.com/gitlab-org/gitlab-runner/-/jobs/172824578/artifacts/file/out/coverage/coverprofile.regular.html link, which will next redirect us to https://gitlab-org.gitlab.io/-/gitlab-runner/-/jobs/172824578/artifacts/out/coverage/coverprofile.regular.html where the report is being presented.

  5. At this moment, we can see the same file browser with coverage details as we seen with the S3 source. We can do the same. The only difference is that it will disappear in maximum of 7 days.

Summary

Dear reviewer, you’ve got your sword. Now go fight with the dragons!