| commit | 7971e674fadbb41123271a86a2c4418e8c0f42a6 | [log] [tgz] |
|---|---|---|
| author | Greg Estren <gregce@google.com> | Wed Jun 01 23:22:48 2016 +0000 |
| committer | Dmitry Lomov <dslomov@google.com> | Thu Jun 02 11:44:02 2016 +0000 |
| tree | 3a9d3c16aaa4397228ed2614843a95794eb687b8 | |
| parent | 8c77715e6fa8f536dd16c7b5af14d367e1e0e96c [diff] |
Dynamic configurations: trim top-level targets, too. Right now, configuration trimming happens in ConfiguredTargetFunction.computeDependencies. This means only the deps of other targets get trimmed. With this change, every ConfiguredTarget gets its configuration accurately trimmed, regardless of where it comes from or what it's used for. In practice, there could still be other code paths that instantiate ConfiguredTargetValue.key without pre-trimming. We'll have to tackle those as we hit them. Also cleaned up some symbol naming in BuildView.update to try to make the logic flow clearer. TESTED: BuildViewTest#testNewActionsAreDifferentAndDontConflict now passes with dynamic configs (among others) -- MOS_MIGRATED_REVID=123807892
{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.