| commit | b0de919d8657d5809d9ab8315d4665926087d0b4 | [log] [tgz] |
|---|---|---|
| author | Greg Estren <gregce@google.com> | Wed Nov 16 17:44:16 2016 +0000 |
| committer | Kristina Chodorow <kchodorow@google.com> | Thu Nov 17 18:17:39 2016 +0000 |
| tree | be815408994aaa782f8a6e1a4b9d921f5e341fe6 | |
| parent | 2153790fbebaed4aef6544fea3a85a01749b0d11 [diff] |
Fixes incomplete support for dynamic split transitions in Bazel's test infrastructure. The small picture story is that SkyframeExecutor.getDynamicConfigOptions (which gets dynamic BuildOptions for tests) wasn't updated with dynamic split support when that was added to ConfiguredTargetFunction.getDynamicTransitionOptions (which does the same thing for production builds). This change plugs that gap. See 373e3e28274cca5b87f48abe33884edb84016dd3 for the original change. The bigger picture story is that Bazel's configured target creation logic is forked: test code goes down a similar but sadly not-quite-the-same path that results in tons of duplicated logic, spaghetti code mess, and risk of bugs like this one. We'd like to ultimately undo that fork. But unfortunately it's an involved effort that won't happen overnight. In the meantime, this change takes one small step by merging the two methods that caused this bug. -- MOS_MIGRATED_REVID=139342710
{Fast, Correct} - Choose two
Bazel is a build tool that builds code quickly and reliably. It is used to build the majority of Google‘s software, and thus it has been designed to handle build problems present in Google’s development environment, including:
A massive, shared code repository, in which all software is built from source. Bazel has been built for speed, using both caching and parallelism to achieve this. Bazel is critical to Google's ability to continue to scale its software development practices as the company grows.
An emphasis on automated testing and releases. Bazel has been built for correctness and reproducibility, meaning that a build performed on a continuous build machine or in a release pipeline will generate bitwise-identical outputs to those generated on a developer's machine.
Language and platform diversity. Bazel's architecture is general enough to support many different programming languages within Google, and can be used to build both client and server software targeting multiple architectures from the same underlying codebase.
Find more background about Bazel in our FAQ.