title	weight	description
Pull Request Process	5	Explains the process and best practices for submitting a pull request to the Kubernetes project and its associated sub-repositories. It should serve as a reference for all contributors, and be useful especially to new or infrequent submitters.

This doc explains the process and best practices for submitting a pull request to the Kubernetes project and its associated sub-repositories. It should serve as a reference for all contributors, and be useful especially to new and infrequent submitters.

Before You Submit a Pull Request
- Run Local Verifications
The Pull Request Submit Process
Why was my pull request closed?
Why is my pull request not getting reviewed?
Best Practices for Faster Reviews
The Testing and Merge Workflow
- More About Ok-To-Test

Before You Submit a Pull Request

This guide is for contributors who already have a pull request to submit. If you're looking for information on setting up your developer environment and creating code to contribute to Kubernetes, see the development guide.

First-time contributors should head to the Contributor Guide to get started.

Make sure your pull request adheres to our best practices. These include following project conventions, making small pull requests, and commenting thoroughly. Please read the more detailed section on Best Practices for Faster Reviews at the end of this doc.

Run Local Verifications

You can run these local verifications before you submit your pull request to predict the pass or fail of continuous integration.

Run and pass make verify (can take 30-40 minutes)
Run and pass make test
Run and pass make test-integration

The Pull Request Submit Process

Merging a pull request requires the following steps to be completed before the pull request will be merged automatically.

Open a pull request
- For kubernetes/kubernetes repository only: Add release notes if needed.
Follow the EasyCLA steps to sign the CLA (prerequisite)
Pass all e2e tests
Get all necessary approvals from reviewers and code owners

Marking Unfinished Pull Requests

If you want to solicit reviews before the implementation of your pull request is complete, you should hold your pull request to ensure that Tide does not pick it up and attempt to merge it. There are two methods to achieve this:

You may add the /hold or /hold cancel comment commands
You may add or remove a WIP or [WIP] prefix to your pull request title

The GitHub robots will add and remove the do-not-merge/hold label as you use the comment commands and the do-not-merge/work-in-progress label as you edit your title. While either label is present, your pull request will not be considered for merging.

Pull Requests and the Release Cycle

If a pull request has been reviewed but held or not approved, it might be due to the current phase in the Release Cycle. Occasionally, a SIG may freeze their own code base when working towards a specific feature or goal that could impact other development. During this time, your pull request could remain unmerged while their release work is completed.

If you feel your pull request is in this state, contact the appropriate SIG or SIG-Release for clarification.

Check the The Testing and Merge Workflow at the end of this document if you're interested in the details on how exactly the automation processes pull requests.

Comment Commands Reference

The commands doc contains a reference for all comment commands.

Automation

The Kubernetes developer community uses a variety of automation to manage pull requests. This automation is described in detail in the automation doc.

How the e2e Tests Work

The end-to-end tests will post the status results to the pull request. If an e2e test fails, @k8s-ci-robot will comment on the pull request with the test history and the comment-command to re-run that test. e.g.

The following tests failed, say /retest to rerun them all.

Why was my pull request closed?

Pull requests older than 90 days will be closed. Exceptions can be made for pull requests that have active review comments, or that are awaiting other dependent pull requests. Closed pull requests are easy to recreate, and little work is lost by closing a pull request that subsequently needs to be reopened. We want to limit the total number of pull requests in flight to:

Maintain a clean project
Remove old pull requests that would be difficult to rebase as the underlying code has changed over time
Encourage code velocity

Why is my pull request not getting reviewed?

A few factors affect how long your pull request might wait for review.

If it's the last few weeks of a milestone, we need to reduce churn and stabilize.

Or, it could be related to best practices. One common issue is that the pull request is too big to review. Let's say you've touched 39 files and have 8657 insertions. When your would-be reviewers pull up the diffs, they run away - this pull request is going to take 4 hours to review and they don't have 4 hours right now. They'll get to it later, just as soon as they have more free time (ha!).

There is a detailed rundown of best practices, including how to avoid too-lengthy pull requests, in the next section.

But, if you've already followed the best practices and you still aren't getting any pull request love, here are some things you can do to move the process along:

Make sure that your pull request has an assigned reviewer (assignee in GitHub). If not, reply to the pull request comment stream asking for a reviewer to be assigned. This is done via a bot command (the bot may have suggestions for this) and looks like this: /assign @username.
Ping the assignee (@username) on the pull request comment stream, and ask for an estimate of when they can get to the review.
Ping the assignee on Slack. Remember that a person's GitHub username might not be the same as their Slack username.
Ping the assignee by email (many of us have publicly available email addresses).
If you're a member of the organization ping the team (via @team-name) that works in the area you're submitting code to.
If you have fixed all the issues from a review, and you haven't heard back, you should ping the assignee on the comment stream with a "please take another look" (PTAL) or similar comment indicating that you are ready for another review.
If you still don't hear back, post a link to the pull request in the #pr-reviews channel on Slack to find additional reviewers.

Read on to learn more about how to get faster reviews by following best practices.

Best Practices for Faster Reviews

Most of this section is not specific to Kubernetes, but it's good to keep these best practices in mind when you're making a pull request.

You've just had a brilliant idea on how to make Kubernetes better. Let's call that idea Feature-X. Feature-X is not even that complicated. You have a pretty good idea of how to implement it. You jump in and implement it, fixing a bunch of stuff along the way. You send your pull request - this is awesome! And it sits. And sits. A week goes by and nobody reviews it. Finally, someone offers a few comments, which you fix up and wait for more review. And you wait. Another week or two go by. This is horrible.

Let's talk about best practices so your pull request gets reviewed quickly.

Familiarize yourself with project conventions

Development guide
Coding conventions
API conventions
Kubectl conventions

Is the feature wanted? File a Kubernetes Enhancement Proposal

Are you sure Feature-X is something the Kubernetes team wants or will accept? Is it implemented to fit with other changes in flight? Are you willing to bet a few days or weeks of work on it?

It's better to get confirmation beforehand.

When you want to make a large or otherwise significant change, you should follow the Kubernetes Enhancement Proposal process.

Even for small changes, it is often a good idea to gather feedback on an issue you filed, or even simply ask in the appropriate SIG's Slack channel to invite discussion and feedback from code owners. Here's a list of SIGs, this includes their public meetings.

KISS, YAGNI, MVP, etc.

Sometimes we need to remind each other of core tenets of software design - Keep It Simple, You Aren't Gonna Need It, Minimum Viable Product, and so on. Adding a feature "because we might need it later" is antithetical to software that ships. Add the things you need NOW and (ideally) leave room for things you might need later - but don't implement them now.

Smaller Is Better: Small Commits, Small Pull Requests

Small commits and small pull requests get reviewed faster and are more likely to be correct than big ones.

Attention is a scarce resource. If your pull request takes 60 minutes to review, the reviewer's eye for detail is not as keen in the last 30 minutes as it was in the first. It might not get reviewed at all if it requires a large continuous block of time from the reviewer.

Breaking up commits

Break up your pull request into multiple commits, at logical break points.

Making a series of discrete commits is a powerful way to express the evolution of an idea or the different ideas that make up a single feature. Strive to group logically distinct ideas into separate commits.

For example, if you found that Feature-X needed some prefactoring to fit in, make a commit that JUST does that prefactoring. Then make a new commit for Feature-X.

Strike a balance with the number of commits. A pull request with 25 commits is still very cumbersome to review, so use your best judgment.

Breaking up Pull Requests

Or, going back to our prefactoring example, you could also fork a new branch, do the prefactoring there and send a pull request for that. If you can extract whole ideas from your pull request and send those as pull requests of their own, you can avoid the painful problem of continually rebasing.

Kubernetes is a fast-moving codebase - lock in your changes ASAP with your small pull request, and make merges be someone else's problem.

Multiple small pull requests are often better than multiple commits. Don't worry about flooding us with pull requests. We'd rather have 100 small,obvious pull requests than 10 unreviewable monoliths.

We want every pull request to be useful on its own, so use your best judgment on what should be a pull request vs. a commit.

As a rule of thumb, if your pull request is directly related to Feature-X and nothing else, it should probably be part of the Feature-X pull request. If you can explain why you are doing seemingly no-op work ("it makes the Feature-X change easier, I promise") we'll probably be OK with it. If you can imagine someone finding value independently of Feature-X, try it as a pull request. (Do not link pull requests by # in a commit description, because GitHub creates lots of spam. Instead, reference other pull requests via the pull request your commit is in.)

Open a Different Pull Request for Fixes and Generic Features

Put changes that are unrelated to your feature into a different pull request.

Often, as you are implementing Feature-X, you will find bad comments, poorly named functions, bad structure, weak type-safety, etc.

You absolutely should fix those things (or at least file issues, please) - but not in the same pull request as your feature. Otherwise, your diff will have way too many changes, and your reviewer won't see the forest for the trees.

Look for opportunities to pull out generic features.

For example, if you find yourself touching a lot of modules, think about the dependencies you are introducing between packages. Can some of what you're doing be made more generic and moved up and out of the Feature-X package? Do you need to use a function or type from an otherwise unrelated package? If so, promote! We have places for hosting more generic code.

Likewise, if Feature-X is similar in form to Feature-W which was checked in last month, and you're duplicating some tricky stuff from Feature-W, consider prefactoring the core logic out and using it in both Feature-W and Feature-X. (Do that in its own commit or pull request, please.)

Don't Open Pull Requests That Span the Whole Repository

Often a new contributor will find some problem that exists in many places across the main kubernetes/kubernetes repository, and file a PR to fix it everywhere at once. Maybe there's a cool new function in the latest golang release that everyone ought to be using, or a recently-deprecated function that ought to be replaced with calls to its replacement. Sometimes a contributor will run a linter or security scanner across the code to find problems, or fix a particular spelling mistake in comments or variable names. (It's "deprecated", not "depreciated"!)

The problem with this approach is that different parts of kubernetes/kubernetes are maintained by different SIGs, and so changes to those different parts require approvals from different people. A PR containing 20 one-line changes scattered across the repository could end up needing 5 or 10 approvals or more before it can be merged. (While there are a handful of people who can approve changes across large portions of the repository, those are generally the people who are the most busy and hardest to get reviews from, especially when you're a new contributor with no connections within the community yet.)

The effort required to review such sweeping changes might not be worth it, see "large or automatic edits" below.

If you really want to try to get such a PR merged, your best bet is to break up the PR into separate PRs for each SIG whose code it touches. You can look at the OWNERS files in a directory (or its parent directory) to see who owns that code, and then group the changes together accordingly (e.g., with one PR touching files in cmd/kube-proxy and pkg/util/iptables, which are owned by SIG Network, and another PR touching files in pkg/kubelet and pkg/controller/nodelifecycle, which are owned by SIG Node.)

Comments Matter

In your code, if someone might not understand why you did something (or you won't remember why later), comment it. Many code-review comments are about this exact issue.

If you think there's something pretty obvious that we could follow up on, add a TODO.

Read up on GoDoc - follow those general rules for comments.

Test

Nothing is more frustrating than starting a review, only to find that the tests are inadequate or absent. Very few pull requests can touch the code and NOT touch tests.

If you don't know how to test Feature-X, please ask! We'll be happy to help you design things for easy testing or to suggest appropriate test cases.

Squashing

Your reviewer has finally sent you feedback on Feature-X.

Make the fixups, and don't squash yet. Put them in a new commit, and re-push. That way your reviewer can look at the new commit on its own, which is much faster than starting over.

We might still ask you to clean up your commits at the very end for the sake of a more readable history, but don't do this until asked: typically at the point where the pull request would otherwise be tagged LGTM.

Each commit should have a good title line (<70 characters) and include an additional description paragraph describing in more detail the change intended.

For more information, see squash commits.

General squashing guidelines:

Sausage => squash

Do squash when there are several commits to fix bugs in the original commit(s), address reviewer feedback, etc. Really we only want to see the end state, and commit message for the whole pull request.

Layers => don't squash

Don't squash when there are independent changes layered to achieve a single goal. For instance, writing a code munger could be one commit, applying it could be another, and adding a precommit check could be a third. One could argue they should be separate pull requests, but there's really no way to test/review the munger without seeing it applied, and there needs to be a precommit check to ensure the munged output doesn't immediately get out of date.

Note: you can also use the tide/merge-method-squash label on your PR to let the bot handle squashing all commits, which can be done by commenting /label tide/merge-method-squash. As opposed to squashing by hand, this will prevent removal of the lgtm label (if already applied) and re-run of the CI tests. Although, if this label is used, please know the following:

All commit messages will be squashed and combined and the final commit message will be a combination of all commit messages according to how GitHub generates the message for a squash merge, for example, if this is the lifecycle of your PR:
```
# commit 1
Original commit msg

Some useful information
Some more useful information
```
```
# commit 2
Address review comments
```
```
# commit 3
Fix test
```
After applying the label, if the PR is merged, the final commit message will end up being:
```
Title of your PR (#PR-number)

* Original commit msg

Some useful information
Some more useful information

* Address review comments

* Fix test
```
Since commit messages are meant to be a record of the "why" and "what" of your changes, having messages like "Address review comments" in the final commit message adds no real value in terms of communicating the "what"s and "why"s of your change. Please see Commit Message Guidelines for more details on writing better commit messages.

Using this label can help when squashing by hand is considered too challenging or not worth the extra effort. It can also speed up merging because squashing by hand implies getting another LGTM from a reviewer and re-run of the CI tests.

Commit Message Guidelines

PR comments are not represented in the commit history. Commits and their commit messages are the "permanent record" of the changes being done in your PR and their commit messages should accurately describe both what and why it is being done.

Commit messages are comprised of two parts; the subject and the body.

The subject is the first line of the commit message and is often the only part that is needed for small or trivial changes. Those may be done as "one liners" with the git commit -m or the --message flag, but only if the what and especially why can be fully described in that few words.

The commit message body is the portion of text below the subject when you run git commit without the -m flag which will open the commit message for editing in your preferred editor. Typing a few further sentences of clarification is a useful investment in time both for your reviews and overall later project maintenance.

This is the commit message subject

Any text here is the commit message body
Some text
Some more text
...

# Please enter the commit message for your changes. Lines starting
# with '#' will be ignored, and an empty message aborts the commit.
#
# On branch example
# Changes to be committed:
#   ...
#

Use these guidelines below to help craft a well formatted commit message. These can be largely attributed to the previous work of Chris Beams, Tim Pope, Scott Chacon and Ben Straub.

Try to keep the subject line to 50 characters or less; do not exceed 72 characters
The first word in the commit message subject should be capitalized unless it starts with a lowercase symbol or other identifier
Do not end the commit message subject with a period
Use imperative mood in your commit message subject
Add a single blank line before the commit message body
Wrap the commit message body at 72 characters
Do not use GitHub keywords or (@)mentions within your commit message
Use the commit message body to explain the what and why of the commit

Try to keep the subject line to 50 characters or less; do not exceed 72 characters

The 50 character limit for the commit message subject line acts as a focus to keep the message summary as concise as possible. It should be just enough to describe what is being done.

The hard limit of 72 characters is to align with the max body size. When viewing the history of a repository with git log, git will pad the body text with additional blank spaces. Wrapping the width at 72 characters ensures the body text will be centered and easily viewable on an 80-column terminal.

Providing additional context

You can provide additional context with fewer characters by prefixing your commit message with the kind or area that your PR is impacting. These are commonly used labels that other members of the Kubernetes community will understand.

Examples:

cleanup: remove unused portion of script foo
deprecation: add notice for bar feature removal in future release
etcd: update default server to 3.4.7
kube-proxy: add a test case for HostnameOverride

These can serve as a good subject before expanding further on the what and why within the commit message body.

The first word in the commit message subject should be capitalized unless it starts with a lowercase symbol or other identifier

The commit message subject is like an abbreviated sentence. The first word should be capitalized unless the message begins with symbol, acronym or other identifier such as kind or area that would regularly be lowercase.

Do not end the commit message subject with a period

This is primary intended to serve as a space saving measure, but also aids in driving the subject line to be as short and concise as possible.

Use imperative mood in your commit message subject

Imperative mood can be be thought of as a "giving a command"; it is a present-tense statement that explicitly describes what is being done.

Good Examples:

Fix x error in y
Add foo to bar
Revert commit "baz"
Update pull request guidelines

Bad Examples

Fixed x error in y
Added foo to bar
Reverting bad commit "baz"
Updating the pull request guidelines
Fixing more things

A general guideline from Chris Beams on forming an imperative commit subject is it should complete this sentence:

If applied, this commit will <your subject line here>

Examples:

If applied, this commit will Fix x error in y
If applied, this commit will Add foo to bar
If applied, this commit will Revert commit "baz"
If applied, this commit will Update the pull request guidelines

Add a single blank line before the commit message body

Git uses the blank line to determine which portion of the commit message is the subject and body. Text preceding the blank line is the subject, and text following is considered the body.

Wrap the commit message body at 72 characters

The default column width for git is 80 characters. Git will pad the text of the message body with an additional 4 spaces when viewing the git log. This would leave you with 76 available spaces for text, however the text would be "lop-sided". To center the text for better viewing, the other side is artificially padded with the same amount of spaces, resulting in 72 usable characters per line. Think of them as the margins in a word doc.

Do not use GitHub keywords or (@)mentions within your commit message

GitHub Keywords

Using GitHub keywords followed by a #<issue number> reference within your commit message will automatically apply the do-not-merge/invalid-commit-message label to your PR preventing it from being merged.

GitHub keywords in a PR to close issues is considered a convenience item, but can have unexpected side-effects when used in a commit message; often closing something they shouldn't.

Blocked Keywords:

close
closes
closed
fix
fixes
fixed
resolve
resolves
resolved

(@)Mentions

(@)mentions within the commit message will send a notification to that user, and will continually do so each time the PR is updated.

Use the commit message body to explain the what and why of the commit

Commits and their commit messages are the "permanent record" of the changes being done in your PR. Describing why something has changed and what effects it may have. You are providing context to both your reviewer and the next person that has to touch your code.

If something is resolving a bug, or is in response to a specific issue, you can link to it as a reference with the message body itself. These sorts of breadcrumbs become essential when tracking down future bugs or regressions and further help explain the "why" the commit was made.

Additional Resources:

How to Write a Git Commit Message - Chris Beams
Distributed Git - Contributing to a Project (Commit Guidelines)
What’s with the 50/72 rule? - Preslav Rachev
A Note About Git Commit Messages - Tim Pope

It's OK to Push Back

Sometimes reviewers make mistakes. It's OK to push back on changes your reviewer requested. If you have a good reason for doing something a certain way, you are absolutely allowed to debate the merits of a requested change. Both the reviewer and reviewee should strive to discuss these issues in a polite and respectful manner.

You might be overruled, but you might also prevail. We're pretty reasonable people.

Another phenomenon of open-source projects (where anyone can comment on any issue) is the dog-pile - your pull request gets so many comments from so many people it becomes hard to follow. In this situation, you can ask the primary reviewer (assignee) whether they want you to fork a new pull request to clear out all the comments. You don't HAVE to fix every issue raised by every person who feels like commenting, but you should answer reasonable comments with an explanation.

Common Sense and Courtesy

No document can take the place of common sense and good taste. Use your best judgment, while you put a bit of thought into how your work can be made easier to review. If you do these things your pull requests will get merged with less friction.

Trivial Edits

Each incoming Pull Request needs to be reviewed, checked, and then merged.

While automation helps with this, each contribution also has an engineering cost. Therefore it is appreciated if you do NOT make trivial edits and fixes, but instead focus on giving the entire file a review.

If you find one grammatical or spelling error, it is likely there are more in that file, you can really make your Pull Request count by checking the formatting, checking for broken links, and fixing errors and then submitting all the fixes at once to that file.

Some questions to consider:

Can the file be improved further?
Does the trivial edit greatly improve the quality of the content?

Large or Automatic Edits

Some tools make it very easy to create large Pull Requests, for example:

global search/replace
linters which automatically correct issues (see also next section)
large language models (LLMs) which generate code or documentation

To make it easier for reviewers to handle such Pull Requests, please explain how it was generated in the "Special notes for your reviewer" section of the Pull Request description. Reviewers may then be able to reproduce those steps (search/replace, linters) or can start the review with the right expectations (LLMs). Also consider the section about splitting up Pull Requests above.

Even with such tools it is still your responsibility as submitter of a Pull Request to ensure that the change is correct (to the best of your knowledge), and that making the change improves the project enough to justify the cost that is needed to review and merge the Pull Request (see previous section). If unsure, create a Draft Pull Request and ask for guidance.

Please understand that reviewers may decide to close a Pull Request with a reference to this documentation if they come to the conclusion that the difficulty of properly reviewing the Pull Request outweighs the benefit that the Pull Request provides.

Fixing Linter Issues

Kubernetes has a set of linter checks. Some of those must pass in the entire code base, some must pass in new or modified code, and some are merely hints to developers how to improve their code.

Please do not create Pull Requests for issues found by linters without first reaching out to maintainers on the #code-organization Slack channel to determine whether there is sufficient interest in fixing such issues.

When it was discussed, make sure to include people who gave the preliminary approval of this work as well as the link to the discussion on Slack or GitHub issue into the PR description. This is a good example to follow:

/area code-organization

This PR fixes linter rules discussed in the Slack https://kubernetes.slack.com/archives/Foo/Bar. Preliminary agreement to address those issues were given by @GHHandle1 and @GHHandle2.

/assign @GHHandle1 /assign @GHHandle2

This PR fixes issues in the package: pkg/kubelet

Related PRs for other packages:

github.com/link-to-other-PR1

github.com/link-to-other-PR2

It does not matter whether the linter is enabled in Kubernetes or not:

If a linter is enabled in golangci.yaml, then it has already been determined that sweeping changes in the existing code aren't necessary or just are not worth the cost (e.g. causing rebases of other Pull Requests or obscuring authorship).
If a linter is not enabled, then it might not be important enough.
If the check is performed by third party tools which are not integrated in the Kubernetes CI or proprietary, file a bug or start a discussion about it first.

Such Pull Requests are often large and thus hard to review. When the linter enforces some opinion or policy, then this is not necessarily something that applies to Kubernetes. Kubernetes uses the formatting rules enforced by Go. Stricter rules like specific usage of whitespace or using standard library constants are opinionated and not worth the cost of introducing them now.

Linters worth considering are those which actually improve code correctness, for example by warning about suspicious code like calling a function and then not checking the error result.

The Testing and Merge Workflow

The Kubernetes merge workflow uses labels, applied by commands via comments. These will trigger actions on your pull request. Different Kubernetes repositories may require different labels on the path to approval. A generic explanation of how labels are used in pull requests can be found here. The pull request bot will also automatically apply and/or suggest labels.

Example: To apply a SIG label, you would type in a comment:

/sig apps

NOTE: For pull requests that are in progress but not ready for review, prefix the pull request title with WIP or [WIP] and track any remaining TODOs in a checklist in the pull request description.

Here's the process the pull request goes through on its way from submission to merging:

Make the pull request
@k8s-ci-robot assigns reviewers
If you're not a member of the Kubernetes organization, a Reviewer/Kubernetes Member checks that the pull request is safe to test. If so, they comment /ok-to-test. Pull requests by Kubernetes organization members do not need this step. Now the pull request is considered to be trusted, and the pre-submit tests will run:
1. Automatic tests run. See the current list of tests at this link
2. If tests fail, resolve issues by pushing edits to your pull request branch
3. If the failure is a flake, anyone on trusted pull requests can comment /retest to rerun failed tests
Reviewer suggests edits
Push edits to your pull request branch
Repeat the prior two steps as needed until the reviewer(s) add /lgtm label. The /lgtm label, when applied by someone listed as a reviewer in the corresponding project OWNERS file, is a signal that the code has passed review from one or more trusted reviewers for that project
(Optional) Some reviewers prefer that you squash commits at this step
Follow the bot suggestions to assign an OWNER who will add the /approve label to the pull request. The /approve label, when applied by someone listed as an approver in the corresponding project OWNERS, is a signal that the code has passed final review and is ready to be automatically merged

The behavior of Prow is configurable across projects. You should be aware of the following configurable behaviors.

If you are listed as an /approver in the OWNERS file, an implicit /approve can be applied to your pull request. This can result in a merge being triggered by a /lgtm label. This is the configured behavior in many projects, including kubernetes/kubernetes. You can remove the implicit /approve with /approve cancel
/lgtm can be configured so that from someone listed as both a reviewer and an approver will cause both labels to be applied. For kubernetes/kubernetes and many other projects this is not the default behavior, and /lgtm is decoupled from /approve

Once the tests pass, and the reviewer adds the lgtm and approved labels, the pull request enters the final merge pool. The merge pool is needed to make sure no incompatible changes have been introduced by other pull requests since the tests were last run on your pull request.

Tide will manage the merge pool automatically. It uses GitHub queries to select PRs into “tide pools”, runs as many in a batch as it can (“tide comes in”), and merges them (“tide goes out”).

The pull request enters the merge pool if the merge criteria are met. The PR dashboard shows the difference between your PR's state and the merge criteria so that you can easily see all criteria that are not being met and address them.
If tests fail, resolve issues by pushing edits to your pull request branch
If the failure is a flake, anyone can comment /retest if the pull request is trusted
If tests pass, Tide automatically merges the pull request

That's the last step. Your pull request is now merged.

More About `Ok-To-Test`

The ok-to-test label is applied by org members to PRs from external contributors, it signals that the PR can be tested.
For a Contributor, an ok-to-test label means the regular CI tests will be run for their PR.
For the reviewer or the member, labelling the PR with ok-to-test it means a lot more:
- They need to take care if the PR is not a wastage of our CI/CD resources.
- Is the PR worth testing or does it need more changes before going through the CI/CD process?
- Is the PR getting used to run malicious code to misuse our resources ?
An ok-to-test label may reduce the workload and smoothens the contributors experience as they can know if there is any failing test. If there is, you can fix the test and they don't have to wait for a long time to get a review from maintainer/assignee.
There are various other factors on which labelling of ok-to-test depends :
- Size of PR :
  - If the PR is of size/S or size/M which is just to fix a grammatical error or spelling mistake, the reviewer can trigger the CI/CD without having a second thought.
  - If the PR is of size/XXL which aims at adding a new feature, a new API endpoint or any new substantial feature. There needs to other conventions & process to be followed regarding the change made. Hence, it may have a slight delay to get labelled with ok-to-test.
- Other org members who are not assigned to the following PR may also label ok-to-test , if the change is small.
- If the PR is labelled with cncf-cla: no, then it is better to wait before labelling ok-to-test.
- PRs with tag do-not-merge/hold or needs-rebase should make the appropriate changes before the PR can be labelled ok-to-test.
- PRs created by mistake without to meaningful change of code should not be labelled ok-to-test and closed.

Provide feedback

Saved searches

Use saved searches to filter your results more quickly

Uh oh!