Split dynamic configurations mode into:

 --experimental_dynamic_configs=off - don't use dynamic configs
 --experimental_dynamic_configs=on - use dynamic configs with trimmed fragments
 --experimental_dynamic_configs=notrim - use dynamic configs with all fragments

This lets us decouple two independent dimensions of dynamic configurations: 1) being able to trigger new configurations and transitions anywhere and 2) only including the fragments needed by a target's transitive closure.

2) is likely to take much more time and effort to properly finesse (three notable challenges: late-bound attributes, aspects, and dynamic shedding of output path names). But 1) by itself already yields significant benefits. So in the name of starting to shift the config work from backend theory to stuff real builds actually use, this change lets us focus on productionizing 1) without blocking on getting all of 2) working first.

tl;dr: iterable deployment and all that.

--
MOS_MIGRATED_REVID=133874661
10 files changed
tree: 23bc2be230e30cf426a637c45890860e686fd8f3
  1. examples/
  2. scripts/
  3. site/
  4. src/
  5. third_party/
  6. tools/
  7. .gitattributes
  8. .gitignore
  9. AUTHORS
  10. BUILD
  11. CHANGELOG.md
  12. compile.sh
  13. CONTRIBUTING.md
  14. CONTRIBUTORS
  15. LICENSE.txt
  16. README.md
  17. WORKSPACE
README.md

Bazel (Beta)

{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.

Getting Started

About the Bazel project: