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Get Support |
- Ask questions or discuss on the User mailing list.
- Report bugs or feature requests in our GitHub issue tracker.
- Find other Bazel contributors on Slack.
We generally avoid making backwards-incompatible changes. We have several years of experience with supporting a huge code base that is concurrently worked on by thousands of engineers every day, and have successfully made significant changes to the core as well as to the rules without missing a beat. We run hundreds of thousands of tests at Google before every single release to ensure that it stays that way.
That said, we occasionally have to make incompatible changes in order to fix bugs, to make further improvements to the system, such as improving performance or usability, or to lock down APIs that are known to be brittle.
This document gives an overview of features that are widely used and that we consider stable. By stable, we mean that the changes we make will be backwards compatible, or that we will provide a migration path.
It also covers features that are unstable. Either they are not yet widely used, or we are already planning to change them significantly, possibly in ways that are not backwards compatible.
We cannot cover everything that might change, but you can reasonably expect that we provide advance notice on the mailing list before a major change happens. We're also happy to provide more details, just ask on bazel-discuss.
All undocumented features (attributes, rules, "Make" variables, and flags) are subject to change at any time without prior notice. Features that are documented but marked experimental are also subject to change at any time without prior notice.
Help keep us honest: report bugs and regressions in the GitHub bugtracker. We will make an effort to triage all reported issues within 2 business days.
We regularly publish binary releases of Bazel.
Every beginning of the month (we target the first business day of the month), we create a new release candidate for a new MINOR version (e.g. 0.6.0). The work is tracked by a release bug on GitHub which indicates the exact target date for the incoming month and assigned to the current Release Manager. Those release candidates should pass all our unit tests, and show no unwanted regression in the projects tested on ci.bazel.io.
We announce those release candidates on bazel-discuss. Over the next days, we monitor community bug reports for regressions in release candidate.
If no regressions are discovered, we officially release the candidate after one week. However, regressions can delay the release of a release candidate. If regressions are found, we apply corresponding cherry-picks to the release candidate to fix those regressions. If no further regressions are found for two business days, but not before one week has elapsed since the first release candidate, we release it.
After a release candidate is cut, we do not cherry-pick new features into it. Moreover, if we discover that a new feature is buggy, we might decide to roll it back from a release candidate. Only critical, high-impact bugs will be fixed in a release candidate.
A release can only be released on a day where the next day is a business day.
If a critical issue is found on the latest release, a patch release can be emitted by applying the corresponding cherry-pick to the release tag. Being another patch to an existing release, the release candidate for a patch release can be released after 2 business days.
We are doing public post-mortems in the following cases:
- We are unable to create a viable release candidate 2 business days after the target day,
- We are unable to release a candidate by the end of the month,
- An emergency patch release is needed (a regression that cause the current binary to increase the support load, e.g. several users report the same issue after a package manager update to the new release).
We run nightly build of all the projects running on ci.bazel.io using Bazel binaries built at head, and using the release binaries. We notify projects going to be impacted by a breaking change. Google's internal continuous integraion test run all the applicable build targets at Google nightly.
When a release candidate is issued, we test more projects at Google like TensorFlow on their complete test suite using the release candidate binaries. If you have a critical project using Bazel, we recommend that you establish an automated testing process that tracks the current release candidate, and report any regressions.
Version 0.1 is our first release marking the start of our beta phase. Until version 1.0.0, we increase the MINOR version every time we do a new full release. We increase the PATCH version when a regression is found on a release that necessitates a new release.
Version 1.0.0 marks the end of our beta phase; afterwards, we will label each release with a version number of the form MAJOR.MINOR.PATCH according to the semantic version 2.0.0 document.
We are planning a number of changes to the APIs between the core of Bazel and the built-in rules, in order to make it easier for us to develop openly. This has the added benefit of also making it easier for users to maintain their own rules (if written in Java instead of Starlark), if they don't want to or cannot check this code into our repository. However, it also means our internal API is not stable yet. In the long term, we want to move to Starlark wholesale, so we ask contributors to use Starlark instead of Java when writing new rules. Rewriting all of our built-in rules is going to be a lengthy process however.
- We will fix the friction points that we know about, as well as those that we discover every time we make changes that span both the internal and external depots.
- We will drive a number of pending API cleanups to completion, as well as run anticipated cleanups to the APIs, such as disallowing access to the file system from rule implementations (because it's not hermetic).
- We will enumerate the internal rule APIs, and make sure that they are appropriately marked (for example with annotations) and documented. Just collecting a list will likely give us good suggestions for further improvements, as well as opportunities for a more principled API review process.
- We will automatically check rule implementations against an API whitelist, with the intention that API changes are implicitly flagged during code review.
- We will work on removing (legacy) Google-internal features to reduce the amount of differences between the internal and external rule sets.
- We will encourage our engineers to make changes in the external depot first, and migrate them to to the internal one afterwards.
- We will move more of our rule implementations into the open source repository (Android, Go, Python, the remaining C++ rules), even if we don't consider the code to be ready or if they are still missing tools to work properly.
We expect the following rules and features to be stable. They are widely used within Google, so our internal testing should ensure that there are no major breakages.
Rules | Notes |
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C/C++ rules except cc_toolchain and cc_toolchain_suite |
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Java rules except java_toolchain |
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Android rules except android_ndk_repository and
android_sdk_repository |
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genrule |
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genquery |
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test_suite |
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filegroup |
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config_setting |
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These rules and features have known limitations that we will likely address in future releases.
Feature | Notes |
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cc_toolchain and cc_toolchain_suite |
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iOS/Objective C rules |
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Python rules |
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Extra actions (extra_action , action_listener ) |
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environment_group |
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android_ndk_repository and android_sdk_repository |
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Fileset |
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