Managing flaky tests
Learn about the flaky test problem in parallel mode and how to manage flaky tests with optimistic validation. Optimistic validation configuration instructions.
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Learn about the flaky test problem in parallel mode and how to manage flaky tests with optimistic validation. Optimistic validation configuration instructions.
Last updated
Was this helpful?
Optimistic validation is a feature to mitigate the queue reset caused by flaky tests in parallel mode. When a test fails in a batch, it waits for other batches to see if a test passes.
In parallel mode, queued PRs are tested in a batch.
For example, when there are two PRs (PR #1 and PR #2) enqueued, we create two draft PRs (Draft PR #3 and Draft PR #4) for testing. These two draft PRs are based on the latest main branch and run tests to check tests won't fail after merge. Draft PR #3 includes PR #1 and Draft PR #4 includes PR #1 and PR #2. This way, the tests of these PRs can run in parallel, making sure that the post-merge state still pass the tests.
When a CI run fails in one of those parallel build draft PRs, that failing a PR gets dequeued. This causes a queue reset. Imagine that Draft PR #3 fails the CI run. This includes PR #1 and this PR gets dequeued. Draft PR #4 also includes PR #1 and the CI run for this PR is cancelled. Because all the PRs created after PR #1 includes it, this makes a cascading effect and effectively the entire queue is reset.
If your test is flaky, this queue reset happens frequently. This slows down the entire queue and affects the efficacy of the team.
Optimistic validation is a feature to address this situation. When a CI run fails for a draft PR, instead of immediately dequeue the PR and causing a queue reset, it waits for other PRs to finish.
Continue from the example above. When a CI run for Draft PR #3 fails, without optimistic validation, it dequeues the PR #1 and resets the entire queue. With optimistic validation, it waits for other draft PRs (in this case Draft PR #4) to finish the CI runs. When they pass the CI, it assumes that the CI run would have been passed and merges the PRs.
There are two settings to configure optimistic validation. Both are specified within the parallel mode section of the configuration.
use_optimistic_validation - boolean value that configures only the look-ahead of CI. If the CI of the top of the PR fails, it will still immediately dequeue the PR. Defaults to true.
optimistic_validation_failure_depth - integer value that how many PRs, including the failing PR itself, it will check for the optimistic validation. Setting 1 effectively means that it won't use optimistic validation. This is capped to 3 in order to cap the GitHub API calls. Requires use_optimistic_validation to be enabled.
By introducing optimistic validation, real errors will take longer to be kicked out of the queue. This is because when there is a CI run failure, it keeps waiting for other batches to finish. Therefore, the failure depth should generally be kept small.
Most of the Aviator users find this side-effect is acceptable as the number of real failures in the queue are relatively small. However, this depends on how flaky your tests are.
